MORGAN STANLEY & CO. LLC
Srikanth SankaranSTRATEGIST
+1 212 761-3910
Vishwas PatkarSTRATEGIST
+1 212 761-8041
Frederick T FuchsSTRATEGIST
+1 212 761-4839
Felician G StratmannSTRATEGIST
+1 212 761-1353
Aleksandr Nozhnitskiy, CFASTRATEGIST
+1 212 761-5936
2021 US Credit Strategy Outlook2021 US Credit Strategy Outlook || North America North America
Buying BetaRecovery and reflation are central themes in our outlook fornext year. We remain constructive and position for a normal'early-cycle' environment, looking through near-termchallenges. Stay down in quality, increase cyclical exposureand reduce embedded exposure to rates volatility.
Banking on a return to 'normal' in 2021: Looking through near-term risks from
policy and the virus, our macro narrative is for a synchronous recovery in
economic growth/earnings and the rise of inflation pressures in the US. The set-
up remains constructive for the performance of credit. As companies focus on
balance sheet repair, we expect credit fundamentals to improve, spreads to
compress, and supply to slow down. In our base case, 12M excess returns track
2.2% in IG, 5.3% in HY and 3.9% in leveraged loans. Our issuance forecasts are $1.2
trillion (-36%Y) in IG and $250-275 billion (-37%Y) in HY. We see $40-80 billion in
the fallen angel pipeline for next year. Default rates are expected to peak at 9-
10% in 2Q21 before moderating to 6% by year-end.
In investment grade: We prefer BBBs over As, with fallen angel volumes set to
slow down as earnings rebound and highly levered companies focus on balance
sheet repair. We think the long end should outperform as LDI demand picks up,
but prefer off-the-run 30Y bonds for their cheaper valuations/lower duration
than on-the-run 30Y bonds. We are overweight cyclical sectors especially those
impacted by COVID, equal-weight Financials, and underweight defensive sectors
like Utilities/Staples.
In leveraged credit: Within HY, we maintain an overweight on fallen angels that
offer a 75bp pickup over legacy BBs, even after adjusting for duration
differences. Our down-in-quality bias also remains intact despite recent
compression. By sector, we recommend a barbell of growth-sensitive Industrial
and Consumer Discretionary with higher-quality Technology. We favor loans
over HY bonds for the full year 2021 as rates risks weigh on HY performance in
the back half of the year.
In derivatives: CDX HY vs. IG index compression remains our top trade given
relative valuations, improving growth, and significant vaccine- and pent-up-
demand-related upside in recent fallen angels. Volatility offers some risk
premium, and we like selling HY strangles and overwriting IG bond portfolios. We
prefer long exposure via CDX over cash in HY, 3s-5s steepeners in CDX HY, long
equity risk in legacy IG (S33), and long junior mezz risk in legacy HY series (S33).
Where we could be wrong: A more choppy recovery path and/or a more
complacent corporate response are risks to our constructive thesis. Our
assumption of continued policy accommodation may also be tested if the recent
discord on the Fed's purchase programs escalates. Alternatively, sharper-than-
expected moves in bond yields could weigh on credit market technicals.
Exhibit 1: 2021 US Credit ForecastsCurrent Bull Base Bear
Spread Forecast (bp)IG 109 80 100 150HY 422 300 350 600Loans 477 370 400 600Defaults - 12M (%)HY 7.9% 3.0% 6.0% 8.0%Loans 7.0% 3.0% 6.0% 8.0%Excess Return (%)IG 3.9% 2.2% -2.3%HY 8.5% 5.3% -4.9%Loans 5.0% 3.9% -1.9%Total Return (%)IG - -2.3% -HY 6.6% 4.5% -4.9%Loans 5.2% 4.1% -1.7%2021 Full Year Gross Issuance ($Bn)IG 1,872 - 1,200 -HY 420 - 250-275 -Loans 290 - 325-350 -
Source: Bloomberg, S&P LCD, Dealogic, Moody's, Morgan Stanley Research
forecasts; Note: Pricing as of November 19, 2020; Current gross issuance is YTD
2020 annualized.
Due to the nature of the fixed income market, the issuers orbonds of the issuers recommended or discussed in thisreport may not be continuously followed. Accordingly,investors must regard this report as providing stand-aloneanalysis and should not expect continuing analysis oradditional reports relating to such issuers or bonds of theissuers.Morgan Stanley does and seeks to do business withcompanies covered in Morgan Stanley Research. As aresult, investors should be aware that the firm may have aconflict of interest that could affect the objectivity ofMorgan Stanley Research. Investors should considerMorgan Stanley Research as only a single factor in makingtheir investment decision.For analyst certification and other important disclosures,refer to the Disclosure Section, located at the end of thisreport.
1
November 23, 2020 02:42 PM GMT
Introduction
The tumult and disruption of 2020 has been unprecedented. The humanitarian distress
associated with the COVID crisis will take time to heal. But the rapidity and magnitude of
policy responses have put the economic and market recovery on a fast track. Cash credit
spreads swung from cycle tights to historical wides in a matter of weeks in March before
retracing by an equally remarkable expanse in the following months. Excess returns are
still in negative territory but much healthier than prior periods. On the total return
measure, 2020 is on track to be one of the strongest years on record for US investment
grade credit. The sell-off, recovery and divergence in performance capture the aberrant
year that 2020 was.
Despite some risks created by the recent tension between the Treasury and the Fed, our
outlook for 2021 relies on a return to normalcy. This expectation extends to the
economy, corporate earnings and credit markets.
(1) The global economy. With the global economy already back at pre-COVID-19 levels
of output (i.e., 4Q19), our economists expect the recovery to gain further momentum
next year. They forecast global growth of 6.4%Y for 2021 and a return to the pre-COVID
path of growth by 2Q21 (Exhibit 2). In the US, they expect the baseline level of activity
created through the autumn to sustain the economy despite a slowdown in 1Q21. Under
the base case, US GDP growth tracks 5.9%Y and 6.0% 4Q/4Q.
Central to the economic narrative is an expectation that the recovery that begins in the
second quarter of next year will be broad based across geographies and sectors. Driving
this synchronous recovery will be a more expansive reopening of economies worldwide
as monetary and fiscal support remain in place. The recent news on the high efficacy of
Pfizer and Moderna vaccines also increases our economists' confidence in their
constructive thesis. Additionally, a key aspect of our macro outlook is the expectation
that 2021 will see a stronger reflation impulse in the US. Per our economists' forecasts,
Exhibit 2: Global Output Set to Return to Pre-COVID-19 Path by the Middle of Next Year
92
96
100
104
108
112
1Q19 3Q19 1Q20 3Q20 1Q21 3Q21 1Q22 3Q22
Global GDP Level (4Q19=100)
Pre-Covid GDP Path MS Forecast
4Q20: Return topre-Covid levels
2Q21: Return to pre-Covid GDP path
Source: Haver Analytics, IMF, national sources, Morgan Stanley Research forecasts; Note: The pre-COVID-19 GDP path refers to the trajectory that globalGDP would have followed prior to the COVID-19 shock and is calculated using Morgan Stanley Research forecasts as of January 21, 2020.
2
US inflation is set to rise above 2%Y on a sustained basis from 2022 onwards - 24
months after the start of the recession. After the GFC and in the 2000s cycle, it took 40
and 50 months, respectively.
(2) Corporate earnings… Strong nominal GDP growth next year implies a sizeable
acceleration in revenue growth forecasts, and top-line improvement is also likely to be
amplified by impressive operating leverage. As shown in Exhibit 3, our equity colleagues
pencil in 25-30% EPS growth next year for all regions, with further double-digit growth
expected in 2022 too. Our US equity team argues that evidence for the rebound has
already been mounting. Companies less directly impacted by COVID-19 are already
reporting a return to year-on-year operating profit growth as cost cuts have offset top-
line declines.
(3) ...and credit markets. The backdrop outlined above is consistent with the "repair"
phase of the cycle and bodes well for corporate credit performance. Across all regions,
we forecast tighter spreads and excess returns above historical average (Exhibit 4). In US
credit, we expect spreads to approach but not match pre-COVID-19 tights by end-2021.
Our forecasts call for 9bp tightening in IG, and 70-80bp in HY and loans, which
translates into excess return projections of 2.2%, 5.3% and 3.9%, respectively. This would
take us back to within 10-30bp of pre-COVID-19 levels in IG, HY and loans.
Our numbers imply a sharper trajectory back to the tights compared to prior post-
recession bull markets. We think this is justified given the nature of the recovery, and
the extraordinary amount of liquidity still in the system. In addition, we think that the
case for spreads in leveraged credit to approach pre-COVID-19 levels is much stronger
given a rapidly normalizing economy. On the other hand, while IG companies will benefit
fundamentally from a healthier macro environment, the market will need to face the
challenge of rising rates over the short term (potential outflows from fixed income) and
the medium term (less need to reach for yield from overseas investors). Overall, while
we predict tighter IG spreads over the forecast horizon, the compression will be more
measured compared to HY/loans on a risk-adjusted basis.
On the supply front, we expect a significant decline in primary activity next year as
corporates focus on balance sheet repair and refinancing needs are more measured.
Exhibit 3: We Forecast Broad-based Improvement Both in the Real Economy and in CorporateEarnings
-4%
-2%
0%
2%
4%
6%
Global RealGDP
US RealGDP
US HeadlineInflation
2020 vs. 2021 Forecast
-40%
-30%
-20%
-10%
0%
10%
20%
30%
S&P 500 EPSGrowth
MSCI EuropeEPS Growth
2020E 2021E
Source: Morgan Stanley Research forecasts; Note: We show real GDP and headline inflation here.
3
Similarly, while we remain wary of a latent default wave through the winter, our default
forecasts imply a significant year-on-year decline. We discuss these themes in more
detail in the following sections.
Exhibit 4: Global Credit Forecasts
Spread ForecastCurrent Bull Case Base Case Bear Case
US Investment Grade 109 80 100 150US High Yield 422 300 350 600US Leveraged Loans 477 370 400 600EUR IG 68 40 60 110EUR HY 398 275 350 550Asia 346 253 286 449
Excess Return ForecastBull Case Base Case Bear Case
3.9% 2.2% -2.3%8.5% 5.3% -4.9%5.0% 3.9% -1.9%2.2% 1.1% -1.6%7.0% 4.2% -3.8%6.2% 4.7% -1.2%Asia
US Investment GradeUS High YieldUS Leveraged LoansEUR IGEUR HY
Source: Markit, Bloomberg, S&P LCD, Morgan Stanley Research forecasts; Note: Pricing as of November 19, 2020; US IG and HY spreads forecast for theBloomberg Barclays US Corporate Bond and Bloomberg Barclays US Corporate High Yield Bond indices, respectively.
4
Key Themes and Debates
A "return to normalcy" would no doubt be a relief after the churns of this year. Yet, the
path to such an outcome is strewn with uncertainties. Questions remain about the
durability of the recovery and the reflation thesis is not widely held. It is also unclear
whether our early-cycle narrative will hold this time around as funding costs are
strikingly low compared to prior post-recession periods. Our constructive thesis also
makes embedded assumptions around monetary and fiscal policy being accommodative
for most of next year. The "easy policy" view is widely held but could be undermined by
the recent headlines on unused funds in the Fed's emergency purchase programs. We
discuss our stand on these themes next.
1. As economies re-open, market focus will shift from recession to reflation. The macro
discourse this year has understandably been dominated by the depth of the COVID
recession and the potential recovery path. We expect the reflation theme to become
more dominant in the coming year, particularly in the US. In our economists' forecasts,
core PCE inflation in the US approaches 2%Y by 2H21, rising above 2%Y on a sustained
basis starting in 2022 (Exhibit 5). This expectation is partly contingent on the broad-
based availability of a vaccine by the middle of next year and also on additional
(moderate) fiscal easing even under a divided government. More importantly, our
economists argue that, as inflation crosses 2.0%Y, the risk of inflation overshooting
2.5%Y becomes more real. This scenario could produce a disruptive shift in inflation
expectations and may prompt the Fed to tighten sooner than we and the market are
currently anticipating.
In keeping with the inflation outlook, our rates colleagues expect Treasury yields to
push higher over the forecast horizon. They see 10-year Treasury yields trading slightly
below 1.5% by the end of 2021, and continuing to move higher into 2022. Meanwhile,
front-end rates in the first half of 2021 remain anchored by a dovish Fed under its new
average inflation targeting approach. However, the debate around the Fed's reaction
function is likely to intensify later next year as our economists expect a move toward a
tapering of Treasury purchases as early as 1Q22.
The read-across for credit is on balance positive, particularly for growth-sensitive sectors.
The broader growth and reflation narrative is positive for credit performance (Exhibit 6),
particularly when viewed in the context of the fiscal and monetary support that is
already in place. A shift in the rates regime could pose some challenges for credit
markets, but we expect these to be temporary. With the IG index duration at record
highs, outflows from fixed income funds could pose headwinds for credit spreads during
the initial phase of the rates moves. A related concern is tempered appetite for credit
from international investors. The net effect is likely to be that lower-quality shorter-
duration assets outperform high-quality long-duration assets. We reflect these
considerations in our spread and return forecasts by factoring in a more measured
compression in IG spreads versus HY and loans on a risk-adjusted basis.
5
2. The fate of the Fed's emergency purchase programs. An essential ingredient of the
recovery and reflation thesis is that fiscal and monetary policy remains accommodative.
Given the exogenous nature of the Covid shock, there is strong incentive for
policymakers to mitigate the impact on employment by keeping their reflationary
policies in place. The recent discord between the US Treasury and the Federal Reserve
around the emergency lending programs raises the risk that our (and the market's)
conviction on policy support may be tested. While the expiry of the Treasury allocation
to these programs by December 31 this year is mentioned in the CARES Act, the
Treasury's tighter interpretation of the term "unused funds" raises questions on the path
of future policy actions.
We discuss the details of Mnuchin's letter to Fed Chair Powell and the latter's response
in a separate note (see The Fate of the Fed's 13(3) Facilities) . But we make three points
here:
First, these purchase facilities represented a fast, coordinated and proactive response
from policymakers to the Covid crisis. Should the CARES allocation to the Exchange
Stabilization Fund (ESF) and the Fed's facilities be reappropriated to the Congress after
December 31, 2020, the Fed may have to rely on legislative process to resume the
facilities. By extension, policy support could become more reactive than proactive,
despite best intentions of the Fed and the new administration.
Second, from the perspective of credit markets, actual purchases under the Corporate
Credit Facilities (CCFs) have been modest. But these facilities represented a strong
safety net for the asset class. Absent CARES funds, the next Treasury Secretary would
have "only" $85 billion in core ESF funds to cover the credit subsidy portion of the
Treasury's investments. While this amount could translate into significant (100s of
billions in) purchase capacity, it is fair to say that the safety net has been lowered and
weakened.
Third, we do not believe a "reactionary" policy backdrop warrants a change in our
constructive base case for credit. After all, our economists believe that the recovery has
now entered a more self-sustaining phase. However, we believe that downside risks are
higher – credit markets are likely to be more sensitive to disappointments on the macro
front.
Exhibit 5: The Return of Inflation Is a Key Feature of Our USEconomics Forecasts
1.61%
0.25%0.50%0.75%1.00%1.25%1.50%1.75%2.00%2.25%2.50%2.75%
00 02 04 06 08 10 12 14 16 18 20 22
Core PCE Inflation (%Y)
Core PCE Inflation (%Y) Forecast 2010-2019 Cycle Avg
Source: Bureau of Economic Analysis, Morgan Stanley forecasts
Exhibit 6: Below-trend and Rising Inflation Regimes Are Good forCredit Performance
Source: Source: Bloomberg, Morgan Stanley Research; Note: We use excess returns from 1970 or wheneverhistory begins. Blue dot shows median while blue bars show interquartile range.
6
3. We expect the early-cycle thesis to hold, but 2021 is when the rubber meets the road
on corporate and sponsor behavior. We retain our faith in the early-cycle narrative.
Periods after recessions are characterized by macro data that are below average but
improving, and credit fundamentals that are weak but beginning to heal. Skeptics could
argue that the extreme levels of leverage are at odds with the "repair" phase of the
cycle. We do not think so - as shown in Exhibit 7, credit cycles always begin with
elevated leverage that moderates over time. While the starting level this time around is
no doubt worse than in the past, our simple point here is that it is the trend in leverage
over the coming quarters that will validate or undermine our cycle narrative.
In thinking about the future path of leverage, we think it would help to frame the
debate along two dimensions - ability vs. willingness to deleverage and corporates vs.
financial sponsor behavior.
(1) Ability vs willingness. The 5.9%Y real GDP growth expected next year in the US and
earnings growth of 27% per our equity colleagues' forecast should help an organic
decline in corporate leverage. While the magnitude and breadth of the earnings tailwind
can be debated, the improved ability to de-leverage is part of the early-cycle narrative
that finds broader acceptance. The debate/ pushback tends to center on willingness.
For all our talk of a return to normalcy next year, we are acutely aware of how
remarkably "normal" corporate funding conditions already look (Exhibit 8 above). In the
past, a measured pace of policy easing and longer recession windows together
contributed to a slower return to normalcy for funding markets. By contrast, the
snapback in corporate funding costs has been much sharper this time around. It can
therefore be argued that the "repair" phase after past cycle turns was merely a
consequence of funding economics. Balance sheet discipline was enforced/incentivized in
the "early cycle" phase by still-elevated funding costs and constrained market access.
This time around, the extraneous nature of the COVID-19 shock creates the risk that
memories of recession are fleeting and learnings from it are short-lived. It is in fact this
disconnect between well-above average leverage and historically low funding yields
that makes 2021 a year of validation for our early-cycle thesis. Corporate management
has to signal commitment to balance sheet repair when earnings improve.
(2) Corporates vs financial sponsors. A second dimension that bears watching is how the
motivation to deleverage differs across corporate borrowers and financial sponsors. We
Exhibit 7: Leverage Tends to Peak Shortly After a Recession, andDeleveraging Can Last Several Years
1.30
1.70
2.10
2.50
2.90
t +2 +4 +6 +8 +10 +12 +14 +16 +18 +20 +22 +24
(x)
Quarters after Recession Start
IG Leverage: Recession Start to Following Trough
Early 90s - Recession Period Early 90s - Post RecessionEarly 00s - Recession Period Early 00s - Post RecessionGFC - Recession Period GFC - Post Recession
Current Gross Leverage
Source: Bloomberg, Morgan Stanley Research; Note: t = beginning of recession.
Exhibit 8: Normalization of Funding Costs Has Been Abnormally Rapidthis Time Around
0
100
200
300
400
500
600
700
t +2 +4 +6 +8 +10 +12 +14 +16 +18
IG Spreads Following RecessionStart
Early 90s RecessionEarly 00s Recession
(bp)
0
2
4
6
8
10
12
t +2 +4 +6 +8 +10 +12 +14 +16 +18
IG Yields Following RecessionStart
GFC2020 Recession
(%)
Source: Morgan Stanley Research, Bloomberg; Note: t = beginning of recession.
7
are confident that ratings preservation will be a strong motivator for corporates. As we
have highlighted in our latest fundamental updates (see here and here), listed corporate
issuers have enhanced their liquidity buffers sharply in recent quarters. Improved cash
ratios have enabled companies to avoid a more severe wave of downgrades. But, as we
exit the crisis window, both rating agencies and investors will focus on how these excess
cash buffers are deployed in an improving earnings environment. On balance, we believe
that companies are not oblivious to the fact that they need to improve credit metrics.
Furthermore, an organic improvement in earnings next year should also reduce the
pressure to appease equity investors through buybacks.
However, there is a credible risk that cheap funding costs may encourage an increase in
acquisition/LBO activity from PE sponsors. Historically, we have viewed M&A and LBO
activity as exuberance indicators (Exhibit 9) - with optimism around earnings outweighing
funding cost considerations late in a cycle. This time around, record-low yields and
potential persistence of policy support may encourage a modest increase in acquisition
activity even in the early-cycle phase. However, we expect this uptick to be measured
with investors and rating agencies acting as limiting agents.
Our motivation in this discussion is primarily to draw a distinction between the potential
response function of corporates (where we have a higher degree of confidence in credit-
friendly behavior) and that of financial sponsors (where low cost of funding could
encourage more transaction activity).
4. Technical backdrop to remain fairly supportive. A corollary to the above discussion
on the cycle is that post-recession environments are also associated with favorable
technicals. We believe that the contradiction of record-high corporate bond supply
amidst the tumultuous price action of 2020 will resolve itself next year. This view is
primarily informed by two considerations:
(a) Elevated cash buffers likely to translate into significantly lower refinancing supply.
Contrary to our expectations earlier in the year, the issuance volumes failed to slow
down in the second half of 2020. Overall, full-year issuance is likely to be up 50%Y in
Exhibit 9: Historically, Acquisition Activity Has Recovered Only Slowly Post-recessions, but ThisTime Could Be Different
Source: Morgan Stanley Research, Thomson Reuters, ICE
8
IG and 22%Y in leveraged credit (HY and loans combined). While the headline supply
numbers are unprecedented on all counts, in this period of extraordinary stress why
companies are issuing debt matters more than how much. The record-high liquidity ratios
highlighted in Exhibit 10 suggest that much of the debt raised is still sitting as cash on
corporate balance sheets. This is also consistent with use of proceeds data that show a
strong defensive bias - across the quality spectrum, a dominant portion of this year's
supply has been to refinance expensive debt and shore up cash buffers. Supply for M&A
and equity recapitalization has also been close to record lows - please see Defensive
Supply for more details.
Understandably, past cycles' recession years have been associated with tighter financial
conditions both in terms of cost and market access. Companies typically see a depletion
of cash buffers during the periods of earnings stress, and the years following past
recessions have been associated with increasing issuance activity and a rebuild of cash
buffers. This normalization process that usually takes multiple years appears to have
been compressed into a couple of quarters this time around (Exhibit 11). The net result is
the spike in supply volumes in the recession year (2020) and much more muted
financing needs in 2021.
Looking ahead, if the economic re-openings materialize early next year and our earnings
outlook holds, companies are likely to be less motivated to hoard cash. And with
maturity walls already termed out for the most part, refinancing activity is likely to
decline significantly next year. In our supply forecasts, we assume a moderation in
refinancing volumes for investment grade and a 36%Y decline in overall IG issuance. In
HY, we pencil in significant declines in refinancing activity but forecast more modest
declines in gross issuance (to account for the potential uptick in new transaction
activity).
(b) A still favorable demand backdrop. Complementing the supply narrative is a still
favorable demand backdrop for credit. Uncertainty about public health and the political
environment has helped to keep money "on the sidelines" (Exhibit 12), even as inflows
continue into credit - particularly IG funds. Additionally, ongoing QE by global central
banks continues to restrict net supply and yields low in other fixed income assets. Credit
therefore remains an attractive relative value proposition for domestic US and
international investors (Exhibit 13).
Exhibit 10: Corporates Have Built Up Liquidity More Rapidly This TimeAround…
5%
10%
15%
20%
25%
30%
-8 -6 -4 -2 t +2 +4 +6 +8Quarters after Recession Start
IG Cash-to-Debt
Early 00s - Pre RecessionGFC - Pre RecessionPre 2020 Recession
0%
4%
8%
12%
16%
-8 -6 -4 -2 t +2 +4 +6 +8Quarters after Recession Start
HY Cash-to-Debt
Early 00s - Post RecessionGFC - Post Recession2020 Recession
Source: Morgan Stanley Research, Bloomberg, S&P Capital IQ
Exhibit 11: ...as Companies Front-loaded Issuance. By Extension,Refinancing Needs Are Likely to Be More Muted Next Year
Source: Morgan Stanley Research, S&P LCD, Dealogic
9
The potential twist in this favorable demand story for next year is the prospect of higher
rates. As discussed above, the rate sensitivity could weigh against the performance of IG
credit temporarily. Abrupt moves higher in Treasury yields will mathematically hurt the
total returns performance of the asset class and are likely to cause outflows. However,
we see these challenges as short-lived as they relate to a rotation in investor base for
credit rather than a sustained loss of sponsorship.
Exhibit 12: Cash in MMFs Remains Well Above Pre-pandemic Levels
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
5,500
Jun-06 Apr-09 Feb-12 Dec-14 Oct-17 Aug-20
($bn) Total MMF AUM
$1trn reduction
Source: Crane
Exhibit 13: Foreign Ownership of US Credit Picked Up Again in 2Q
20%
22%
24%
26%
28%
30%
1Q06 1Q08 1Q10 1Q12 1Q14 1Q16 1Q18 1Q20
Foreign Ownership of US Corporate Bond Market(Quarterly)
Source: Morgan Stanley Research, Federal Reserve
10
Investment Grade
We remain bullish on US IG, projecting about 10bp of tightening in index spreads over
the course of next year, generating 2.2% in excess returns over Treasuries. While IG
spreads have tightened substantially from distorted levels back in March, spreads are
still ~30bp away from pre-COVID levels and cyclical/COVID-impacted sectors continue
to offer a reasonable risk premium. We expect these risk premia to keep shrinking as
evidence of the sustainability of the economic recovery keeps building and the technical
picture remains strong both from a demand and supply standpoint. We expect supply to
slow down to $1.2tn, down 36% in gross terms and 72% on a net basis, after accounting
for maturities/calls/tenders. We expect fallen angel volume to slow down to $40-80
billion next year, and expect rising star volumes to match the pace. On the flip side, we
expect downgrades from A to BBB to be relatively elevated around $125-$150 billion, as
low rates continue to drive opportunistic relevering to reward shareholders.
From a positioning standpoint, in keeping with our early-cycle playbook, we maintain a
strong preference for being down in quality, and with a bias for cyclical sectors. While
the growth story alone is enough to justify owning more beta, the potential for back-
end rates to approach more normal levels, adds to our conviction on this compression
theme, with the top of the quality stack likely to face the more meaningful headwinds.
Across the credit curve, we have a preference for the long-end, but more specifically for
the 10-25Y sector, which includes off-the-run 30Y bonds and new issue 20Y bonds. We
think this sector will benefit from rising rates that will take dollar prices lower,
continued focus on liability management activity, and relatively cheap valuations. We
have a preference for US IG over Agency MBS, and recommend managing rate risk by
using swaption hedges and over-writing portfolios with calls.
Exhibit 14: US IG - Bull/Bear/Base Spread Forecasts for 2021
StartingSpread Bull Base Bear
IG Index Spread (bp) 109 80 100 150Excess Return Forecast 3.9% 2.2% -2.3%Total Return Forecast -2.3%
Source: Bloomberg, Morgan Stanley Research Estimates
Exhibit 15: We Project Positive Excess Returns, but Negative Total Returns for IG in 2021; Low-quality to Outperform, Long-end Curves to Flatten
IG Forecast SummarySpread Spread Target Excess Return Total Return
1-3Y 44 40 0.5% 0.2%3-5Y 74 70 0.9% 0.1%5-7Y 91 86 1.2% 0.0%7-10Y 114 106 1.8% -2.0%10-25Y 162 142 4.1% -4.0%25Y+ 145 129 4.0% -7.9%Ratings Bucket Spread Spread Target Excess Return Total ReturnAAA/AA 66 57 1.0% -3.5%A 82 73 1.3% -3.0%BBB 139 119 2.7% -1.3%Full IG Market 109 100 2.2% -2.3%
Source: Bloomberg, Morgan Stanley Research Estimates
11
In our base case, IG spreads tighten back to within 7bp of pre-COVID 2020 tights, and
within 15bp of post GFC tights. As such, this would be the sharpest post-recession bull
market that we have seen across the available data-set. It typically takes a few years
after a downturn for spreads to approach prior cycle tights, but we are calling for that
to happen within 12-18 months. However, given the unique nature of the downturn (and
the subsequent recovery), we think this rapid compression trajectory is well-justified. We
think it's possible that spreads actually overshoot our target (i.e. tighter) through the
early part of next year, as optimism builds around a vaccine.
While our excess return projections are reasonably attractive, the story for total return
investors is less encouraging. Our macro strategy colleagues expect long-end Treasury
yields to rise, and the curve to steepen over the course of next year, driven initially by
inflation expectations. They project 10Y UST and 30Y UST yields at 1.45% and 2.4%,
respectively, for year-end 2021. Given the record extension of duration in the IG market,
the impact of these rate moves is significant, implying a total return number of -2.3%
next year.
In terms of the trajectory of our forecast, rising COVID cases, political uncertainty
(Senate control, etc.), uncertainty around the Fed's corporate bond program, and the
need for more clarity around widespread dissemination of vaccines could keep spreads
consolidated around current ranges though the end of the year. However, we think that
will change in the first half of next year. The transition to a new presidency, with clarity
around control of Congress will be an important lingering risk event for the markets to
get past (even if the ultimate outcome may not have a big impact on how we view
markets directionally). Our biotech team expects COVID-19 cases to start tapering off in
late Jan/early Feb, and our economics team believes that recent developments around
the vaccine could lead to a full re-opening by the middle of 2021. As such, the first half
of 2021 will provide a lot of tangible evidence around the durability of the economic
recovery, which will drive investors to re-think measures of risk premium.
Further, despite the improving macro backdrop, central banks will be extra cautious
about their monetary stance given the health-care nature of the crisis, and still high
unemployment rates. With G4 central banks set to expand their balance sheets by
$3.4tn next year, US investment grade credit will be a key beneficiary of this incremental
liquidity as one of the few asset classes that offers some nominal yield for domestic as
well as overseas investors. We expect this excess liquidity to have the biggest impact on
spread moves through the early part of next year, looking at seasonal trends around
how money market funds get re-allocated. Further bolstering the strong technical
backdrop will be a supply environment that is much more "normal" compared to what
we saw in 2020, given the amount of cash raised by US issuers. All-in-all, in our view, the
set up is one of goldilocks for IG - improving growth/earnings, slowing supply,
accommodative central banks - especially through the early part of the year.
12
The second half of the year could see increasing tension between IG credit as a risk
asset class vs. a fixed income product. Our Interest team is calling for Treasury yields to
rise and the curve to bear steepen on the back of the growth impulse. Further, they
think that the Fed will begin tapering its asset purchases in early 2022, and signaling this
shift around the fourth quarter next year. The record duration of the IG market makes it
vulnerable to periods of sharply higher rates causing outflows. Ultimately, we don't
think rates going up for the right reason (improving growth vs. a policy mistake) is a bad
outcome for IG credit. While total-return-focused funds naturally get a lot of attention,
the proportion of LDI investors provides an important counter-balance in IG. In addition,
with much of the global fixed income market trading at a negative yield, sponsorship
from overseas investors could actually accelerate through the initial leg higher in rates
as all-in yields become more attractive. However, late into 2021, we see the possibility of
rates having risen to the point where the risk of a more meaningful shift away from
spread products into sovereign bonds is something investors would have to consider.
In the bull case, a less severe second wave and earlier broad-based dissemination of the
vaccine, as well as Democrats completing a larger portion of their wish list are key
drivers of upside risk that could lead to materially higher GDP growth. The
unemployment rate falls near pre-COVID-19 levels by the end of 2021, and inflationary
pressures build more quickly. In this scenario, we see IG spreads going modestly through
post GFC tights, and hitting ~80bp. Ultimately though, we think this bull case outcome
is more of a mixed bag for IG credit compared to leveraged credit/equities. With growth
improving rapidly, rising rates and the potential for an earlier tapering of purchases from
the Fed, could constrain the upside for IG, relative to higher-beta markets.
Our economists' bear case is centered around COVID-19 risks, particularly if broader-
than-expected shutdowns over the winter and delayed vaccine programmes come in the
absence of further fiscal stimulus. In this scenario, a more drawn-out recovery leads to
longer stints of unemployment and greater permanent job losses. Here, we would
expect IG spreads to widen out to 150bp, and post negative excess returns. Notably
though, the spread widening will be orderly when compared with the price action we got
in March/April. We see two reasons for this. First, corporates are now in much better
shape especially from a liquidity standpoint, which will limit the spillover from economic
Exhibit 16: Given Unprecedented Monetary and Fiscal Stimulus, This Has Been the Sharpest Post-recession Rally over the Past 100 Years
-500
-400
-300
-200
-100
Peak
0 2 4 6 8 10 12 14 16 18 20 22 24
(bp)
Months After Spread Peak
IG Rallies From Spread Peak During/After Recessions
1932 1938 1949 1954 1957 1961 1970
1975 1980 1983 1991 2002 2008 2020Source: Morgan Stanley Research, Bloomberg, Moody's
13
risks into balance sheet stress. Second, at levels around our bear case (~150bp), we
think the Fed could step in again to support the credit market. As of November 19, the
Treasury had requested the Fed to return unused funds from the facilities and let most
of the programs expire on December 31. With uncertainty lingering around the
mechanics to restart these facilities, we remain vigilant about the impact of any
disruption in the bear case.
IG Supply
We forecast gross IG supply of $1.2 trillion in 2021 (-36% y/y), with net supply of $231
billion after maturities, calls, and tenders (-72% y/y). IG supply in 2020 blew past every
estimate coming into the year, as companies rushed to shore up liquidity in light of the
COVID-19 pandemic. Many IG companies are now sitting on top of significant excess
liquidity while earnings are rebounding, and we expect companies to use this cash to pay
down maturities and continue liability management exercises in 2021. As such, we expect
a significant slowdown in issuance compared to 2020, as early-cycle behavior sets in and
companies focus on balance sheet repair. This is modestly offset by higher M&A activity
and low coupons that continue to make debt attractive to corporates.
Through the end of October, IG supply totalled $1.78trn (+60% y/y), and we estimate
full-year supply to end around $1.87 trillion, an increase of 50% compared to the full
year 2019. After accounting for maturities, calls, and tenders, net supply through the
end of October stood at around $894 billion (+198% y/y), although we estimate full-
year net supply to total closer to $835 billion (+163% compared to the full year 2019),
as the pace of issuance slows compared to maturities and LM activity.
Looking ahead, we expect companies to temper their appetite for new debt, with
maturities and liability management putting downward pressure on net issuance. Gross
issuance of $1.2trn is led downward by a 50% drop in US non-Financial issuance, from
just over $1trn in 2020 to ~$520 billion in 2021, while we expect US Financial issuance
to total $245 billion (-25% y/y). Yankee non-Financial issuance saw a less dramatic rise in
issuance in 2020 (+23% gross y/y), and as such we don't expect as much of a drop in
2021, with about $211 billion gross expected (-24% y/y). Meanwhile, Yankee Financials
have the largest rise in maturities of our broad groupings: rising about $14 billion in 2021
to $195 billion (+8% y/y). As such, we expect gross issuance to drop only 4%, to $224
billion.
Aggressive LM activity in 2020 means that 2021 maturities are actually down about 2%,
totalling about $692 billion. Net issuance accounting for just maturities would total
about $500 billion in 2021 compared to $1.17trn in 2020 (-57% y/y), while the continued
pace of LM activity could push the final net issuance figure down to $231 billion for
2021, compared to $835 billion in 2020 (-72% y/y). Whether accounting for just
maturities or adding in calls and tenders, net issuance in 2021 is likely to run at the
lowest level we have seen in many years.
We expect M&A activity to rise compared to 2020, although companies will likely be
able to fund more of it with the cash built up this year. Given the extent to which much
of the BBB market is leverage-constrained, we expect M&A volumes to skew to higher-
rated issuers which would be able to use cash on hand to fund portions of acquisitions,
tempering our expected IG M&A supply figure to about $130 billion total (+9% y/y).
14
We expect liability management activity to stay elevated, but slightly below 2020's
pace. We estimate that liability management via calls and tenders in 2020 is likely to
total $335 billion by the end of the year, up 33% compared to 2019. This activity focused
primarily on debt in the 2021-2023 maturity buckets, which represented 68% of tender
activity and 73% of call activity, and was mostly financed by issuing debt out the curve
at attractive coupons. Additionally, exchanges of debt into new, longer-dated bonds
Exhibit 17: Our IG supply forecasts for 2021
2016 2017 2018 2019 2020a 2021e'21/'20
($)'21/'20
(%)US Non-FinancialGross Issuance 590 641 508 600 1,033 520 (512) (50%)
Maturities 162 196 215 237 261 260 (1) (0%)Net (Just Maturities) 428 445 293 363 772 261 (511) (66%)
Calls / Tenders 101 125 125 143 210 172 (38) (18%)Net (Maturities, Calls, Tenders) 327 321 168 220 562 89 (473) (84%)US FinancialGross Issuance 245 285 245 234 327 245 (83) (25%)
Maturities 140 145 163 146 165 147 (18) (11%)Net (Just Maturities) 104 140 81 89 162 98 (65) (40%)
Calls / Tenders 16 17 27 34 61 48 (13) (22%)Net (Maturities, Calls, Tenders) 88 123 54 55 101 50 (52) (51%)Yankee Non-FinancialGross Issuance 235 227 247 219 279 211 (68) (24%)
Maturities 94 113 115 120 96 89 (7) (7%)Net (Just Maturities) 140 114 133 99 183 122 (61) (33%)
Calls / Tenders 32 45 50 59 35 35 0 0%Net (Maturities, Calls, Tenders) 108 68 83 40 148 87 (61) (41%)Yankee FinancialGross Issuance 258 266 248 196 233 224 (10) (4%)
Maturities 159 170 153 179 181 195 14 8%Net (Just Maturities) 99 95 94 17 52 28 (24) (46%)
Calls / Tenders 24 6 13 14 29 23 (5) (19%)Net (Maturities, Calls, Tenders) 76 90 82 2 24 5 (19) (79%)TotalsTotal Gross Issuance 1,328 1,419 1,248 1,249 1,872 1,200 (673) (36%)
Total Maturities 555 624 647 682 703 692 (12) (2%)Net (Just Maturities) 772 795 601 567 1,169 508 (661) (57%)
Total Calls & Tenders 173 193 215 251 335 278 (57) (17%)Total Net Issuance 600 602 386 317 835 231 (604) (72%)Total Exchanges 15 41 16 20 47 55 8 18%Total M&A 266 208 271 197 119 130 11 9%
Source: Morgan Stanley Research Estimates, Dealogic, Bloomberg, S&P LCD;Note: 2020 shown assuming annualized supply based off estimates at the end of October 2020; Maturities, calls, tenders estimated based on Bloombergdata for bonds with IG ratings at Moody's or S&P at maturity/call/tender date
Exhibit 18: IG gross and net issuance spiked in 2020, but we expect asharp drop in 2021
413 307 363 430 495 556 555 624 647 682 703 69256 63 98 86 91 72 87 127 144 148 206 170300 436
583 539 567 656 600 602 386 317
835
230769 807
1,043 1,055 1,1531,284 1,328 1,419
1,248 1,249
1,872
1,200
0200400600800
1,0001,2001,4001,6001,8002,000($bn) IG Gross vs Net Supply
Maturities Calls Tenders ('16 and on) Net
Source: Morgan Stanley Research, Dealogic, Bloomberg
Exhibit 19: Liability management activities are up significantly in2020
82
5161
35 38
6
34 32 30
1224
41
19 19 18 2114
27
10 7 10 7
0102030405060708090
20 19 20 19 20 19 20 19 20 19 20 19 20 19 20 19 20 19 20 19 20 19Fins Comm.
Svcs.Tech Cons.
Stpls.Indu Health
CareReal
EstateMatl. Energy Cons.
Disc.Utes
($bn) IG LM Activity by Sector, '19 vs '20 YTD
Calls Tenders Exchanges
Source: Morgan Stanley Research, Dealogic, Bloomberg
15
have totaled over $45 billion in 2020, compared to $20 billion in 2019, although this
activity was concentrated in just a handful of names. Looking ahead to 2021, we expect
liability management to continue, but at a modestly slower pace and in a different
manner. We are assuming the pace of tenders and calls slows 15-20% in aggregate, to
about $278 billion in 2021. In our view, the urgency to reduce near-term maturities has
been reduced given the work already done this year and the improving economic
backdrop. Modestly higher rates, as forecast by our interest rate strategy team, may
also temper the attractiveness of calling or tendering for near-term maturities, as
interest savings become slightly less meaningful. However, we think that companies
could continue to target maturities between 2031 - 2049, where nearly $2trn of index
debt sits with an average coupon of ~4.8% - still well above the 30y index yield of
~2.9%, even if interest rates were to rise 50-75bp (offset by our forecast ~10bp
tightening in spreads). In this space, a modest rise in rates would also likely mean lower
dollar prices to pay on the bonds to take out - a marginal positive to issuers reluctant to
pay up at current prices (currently the average dollar price of this debt is ~$125). This
space is also attractive for exchanges into new, longer dated debt and we expect to see
increased exchange activity. With the likelihood of a Blue Sweep significantly diminished,
corporates hesitant to do exchanges given corporate tax hike concerns should have
more clarity by January when the final run-offs are decided. We'd expect exchange
activity to increase 15-20% next year, and potentially total around $55 billion. Note that
exchanges are not captured in our new issue data and as such do not factor into our
gross/net calculation here.
Finally, most of the liability management this year was done by BBB-rated issuers, which
have built up considerable cash buffers (as we discuss in Positioning Recommendations).
As issuers regain confidence around earnings, we believe some of this excess liquidity
could be used by issuers to pay down maturities and further debt in 2021, so as to de-
gross their total debt stacks and reduce interest expense. While liability management in
2021 might not hit an absolute level as high as in 2020, we expect it to remain a
dominant theme.
Fallen Angels and Ratings Migration
We forecast fallen angel volume to fall to $40-80 billion in 2021, given the strong
bounce back in earnings and focus on liquidity (the large band of our forecasts is
Exhibit 20: Issuers, Mainly BBBs, Have Targeted Near-term DebtStacks Through LM in 2020
26
130
58
3211 16
34
0
25
50
75
100
125
150
($bn) Calls and Tenders by MaturityYear of Target Bond
Calls Tenders
0
50
100
150
200
250
AAA/AA A BBB
($bn) Calls and Tenders by BroadRating
Calls Tenders
Source: Morgan Stanley Research, Bloomberg
Exhibit 21: Companies Cut Debt in the Front-end and Added Debt atLower Coupons at Longer Maturities
Source: Morgan Stanley Research, ICE Note: IG index combined with <1yr index
16
driven by the fact that one of the names on the cusp of a potential HY rating - Boeing -
has significant amount of debt outstanding). A strong earnings recovery amid a
burgeoning economic recovery bodes well for issuers most stressed by the pandemic
and should temper further downgrades from IG to HY. Rating agencies were quick to
downgrade names in hard-hit sectors that were already challenged before the
pandemic, such as Retail and Energy, or where underlying shifts in consumer behavior
because of the pandemic may induce longer-term stress, such as the Travel and Leisure
sectors. From here on out, we believe agencies will be patient to observe the recovery in
earnings given solid liquidity at most IG companies, and corporate behavior at most
BBBs should start to prioritize balance sheet maintenance as uncertainty fades into the
middle of next year.
For context, fallen angels in 2020 have totaled about $162 billion for the Bloomberg
Barclays index (~6.2% of BBBs outstanding in the index at the beginning of the year) and
~$194 billion for the ICE BAML US Corporate index (~5.8% of BBBs outstanding in the
index at the beginning of the year), with most of the delta resulting from the downgrade
of PEMEX - a constituent of the ICE index, but not of the Bloomberg index.
Recall that to count as a fallen angel at the index level, a bond must be rated HY based
on the index methodology - a median of Moody's, S&P, and Fitch for Bloomberg and the
average of Moody's, S&P, and Fitch for the ICE indices. Examining downgrade rates for
the individual agencies shows some variation in actions this year, with Moody's
downgrading ~$122 billion of debt in the ICE BAML US Corporate index to HY, S&P
downgrading ~$163 billion, and Fitch downgrading ~$118 billion. As such, to assess the
potential volume of fallen angels in 2021, we looked at bonds in the IG index that have
a low-BBB ratings mix with a negative watch or outlook, where an action by one or two
rating agencies would mean the bonds fall to HY per index rules. This subset should
reflect the most immediate fallen angel risk. $225 billion of par met this categorization
across 53 names, including subordinated debt of higher-rated issuers at risk of a
downgrade to high yield given negative outlooks or watches on their ratings. However,
this list is skewed heavily by the 10 largest names, particularly Boeing's $46 billion debt
stack, and otherwise concentrated in Consumer Discretionary and Energy names.
Ultimately, we expect $40-80 billion of debt to migrate from the IG to the HY index this
year, as our above-consensus outlook for earnings and the economy recovery amid
patient rating agencies should help most names avoid a downgrade in 2021.
Exhibit 22: On an Absolute Level, Downgrade Volumes Hit a Record in2020
0
20
40
60
80
100
0
50
100
150
200
250
98 00 02 04 06 08 10 12 14 16 18 20
(#)($bn) ICE BAML Index Fallen Angels
US Recession Fallen Angel VolumeT12M Volume T12M Count (RS)
Source: ICE, Bloomberg, Morgan Stanley Research
Exhibit 23: Normalized for the Size of the BBB Index, DowngradesHave Not Yet Reached Levels of Prior Cycle Turns
0%2%4%6%8%
10%12%14%16%18%
98 00 02 04 06 08 10 12 14 16 18 20
ICE BAML Index Fallen Angels as % of BBB Index
US Recession % of BBB Index T12M - % of Starting BBB Index
Source: ICE, Bloomberg, Morgan Stanley Research
17
We expect downgrades from A to BBB to be elevated in 2021, with downgrades of
$125-150 billion. While we expect fallen angels to moderate in 2021, we think the
potential for downgrades from A to BBB remains high. A-rated companies have build up
significant cash piles in 2020, but while we think BBBs have an incentive to delever and
maintain an IG rating, A-rated corporates may have less incentive to delever. Debt issued
in 2020 largely came at record-low coupons and A-rated companies may chose to take a
ratings downgrade to BBB as inorganic growth via M&A remains attractive and industries
may look to consolidate to address weaknesses exposed during the pandemic. Buybacks
are also likely to resume at high-quality corporates after dropping significantly in 2020.
Additionally, non-financial corporates have significantly reduced their reliance on
commercial paper after the funding disrupts encountered in March, and we believe
issuers might chose to continuing terming out this paper as coupons and the cost of
extending maturities remains low. See Positioning Recommendations for more details on
our preference for BBBs over As.
For context, we estimate about $141 billion of debt has transitioned from A to BBB in
the ICE BAML US Corporate index in 2020, representing about 5.3% of outstanding As at
the beginning of the year, compared to about $70 billion of downgrades from A to BBB
in 2019 (2.8%). As we show in Exhibit 27, while the absolute volume of downgrades has
Exhibit 24: The 25 Largest Names with Debt at Risk of a Downgrade to High YieldMoody's S&P Fitch
Ticker Sector Debt at Risk WA OAS Rating
RelevantOutlook /Watch
as ofDate Rating
RelevantOutlook /Watch
as ofDate Rating
RelevantOutlook /Watch
as ofDate
# of Actionsto Fallen
AngelBA Industrials 46,100 231 Baa2 NEG Apr-20 BBB- NEG Aug-20 BBB- NEG Oct-20 2ETP Energy 34,977 292 Baa3 NEG Jul-20 BBB- NEG May-20 BBB- 2DELL Information Technology 18,500 194 Baa3 BBB- NEG Mar-20 BBB- NEG Nov-18 2AER Industrials 13,451 241 Baa3 NEG Sep-20 BBB NEG Apr-20 BBB- NEG Mar-20 2FE Utilities 7,850 202 Baa3 NEG Jul-20 BB+ *- Oct-20 BBB- NEG Oct-20 1ALLY Financials 7,808 150 NR BBB- NEG May-20 BBB- NEG Aug-20 1MAR Consumer Discretionary 7,067 187 Baa3 NEG Apr-20 BBB- NEG Oct-20 NR 1SANLTD Consumer Discretionary 6,875 239 Baa2 NEG Jun-20 BBB- NEG Nov-20 BBB- NEG Aug-20 2SYF Financials 6,500 125 NR BBB- NEG May-20 BBB- NEG Apr-20 1HES Energy 5,438 327 Ba1 BBB- NEG Mar-20 BBB- 1TAP Consumer Staples 5,400 140 Baa3 BBB- NEG Mar-20 BBB- NEG May-20 2GLPI Real Estate 5,375 241 Ba1 BBB- BBB- NEG Apr-20 1VMW Information Technology 4,750 107 Baa2 BBB- NEG Mar-20 BBB- NEG Nov-18 2EXPE Consumer Discretionary 4,749 233 Baa3 NEG Mar-20 BBB- NEG Apr-20 BBB- NEG Mar-20 2LVS Consumer Discretionary 4,000 216 Baa3 BBB- NEG Nov-20 BBB- NEG Aug-20 2MOS Materials 3,550 167 Baa3 NEG Mar-20 BBB- NEG Jun-20 BBB- 2SUZANO Materials 3,498 243 NR BBB- NEG Dec-19 BBB- NEG Sep-19 1WAB Industrials 3,250 155 Ba1 BBB- NEG May-20 BBB- NEG Apr-20 1ENBL Energy 3,178 469 Baa3 BBB- NEG Apr-20 BBB- NEG May-20 2HST Real Estate 3,100 252 Baa3 NEG Aug-20 BBB- NEG Oct-20 BBB- 2UNM Financials 2,200 208 Baa3 NEG May-20 BBB BBB- NEG Apr-20 2H Consumer Discretionary 2,050 232 Baa3 NEG Apr-20 BBB- NEG Oct-20 NR 1KSS Consumer Discretionary 2,027 323 Baa2 NEG Apr-20 BBB- NEG Mar-20 BBB- NEG Apr-20 2HFC Energy 1,750 352 Baa3 NEG Jun-20 BBB- BBB- NEG Apr-20 2TPR Consumer Discretionary 1,600 236 Baa2 NEG Mar-20 BBB- NEG Mar-20 BB NEG Apr-20 1
Source: Bloomberg Morgan Stanley Research; Note: To be included on the list, an issuer must have index-eligible debt with a low-BBB ratings mix combined with negative outlooks or watches on thoseratings that would imply removal from the index if 1 or 2 agencies follow through; Issuer spreads highlighted where they exceed the BB index OAS
Exhibit 25: Buybacks Have Fallen Sharply in 2020, but Are Likely toMake a Comeback, as They Did After 2009
-1.0%
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
-100
0
100
200
300
400
500
600
700
85 88 91 94 97 00 03 06 09 12 15 18
($bn) LTM Top 500 Net Buybacks (Ex-Financials)
Net Buybacks Net Buybacks, % of S&P 500 Ex-Fins Mkt Val (RS)
Source: ClariFi, Morgan Stanley Research
Exhibit 26: Non-financials Have Sharply Reduced Their Reliance onCommercial Paper and May Continue to Term It Out with Debt
0
50
100
150
200
250
300
350
92 94 96 98 00 02 04 06 08 10 12 14 16 18 20
($bn) Domestic Non-Financial Commercial Paper Outstanding
Source: Federal Reserve, Bloomberg, Morgan Stanley Research
18
been elevated, the A to BBB downgrade rate of the last twelve months is below prior
cycle turns and has seen less of a spike than fallen angel rates (see Exhibit 23,
previously). A to BBB downgrades of $125-150 billion in the context of the ICE BAML
index would represent a return to slightly above-average downgrade rates for the prior
cycle.
To assess the potential volume of A to BBB downgrades in 2021, we again looked at
bonds in the IG index that had low-A ratings with a negative watch or outlook, where an
action by one or two rating agencies would mean the bonds fall to BBB. $269 billion of
par met this categorization, with Disney's $42 billion debt stack topping the list, followed
by UPS and Honda in the non-financial space. Several large Financial issuers are also
near the top of the list, including Lloyds Bank ($18.8 billion at risk) and American
Express ($15.5 billion at risk), as well as some subordinated debt from banks. However,
unlike BBBs where we think this can be a relatively good gauge of potential
downgrades, we think the downgrade potential for A-rated issuers stems more from the
possibility that they do not follow an early-cycle playbook, and instead continue with
shareholder friendly behavior motivated by the low cost of debt - which may not yet be
reflected in ratings watches and outlooks.
Positioning Recommendations
1. Stay Down in Quality
Within IG, we maintain a preference for BBBs over As as part of our early-cycle thesis.
Rating agencies remain focused on liquidity and are likely to be patient while earnings
recover. Both A and BBB rated issuers have raised significant amounts of liquidity YTD
(see Exhibit 28), as have lower-rated sectors sensitive to COVID such as Materials,
Consumer Discretionary, and Industrials (see Exhibit 31 in the next section). However, we
think incentives point to cyclicals and BBBs as most likely to de-lever.
From a valuation standpoint, the BBB vs A spread differential at 57bp remains well off
prior cycle tights of 35bp, as does the ratio of BBB to A spreads, at 1.69x. While index
Exhibit 27: The Volume of A to BBB Downgrades Has Risen, but the Rate Relative to OutstandingDebt Remains Low
0%
10%
20%
30%
40%
50%
60%
0
50
100
150
200
250
98 00 02 04 06 08 10 12 14 16 18 20
($bn) T12M A to BBB Downgrades
US Recession Non-Fin A DowngradesAll A Downgrades All A Rate (RS)Non-Fin A Rate (RS)
Source: ICE, Morgan Stanley Research
19
spreads can be skewed by sector biases, we looked at the BBB vs. A relationship after
controlling for sub-sector exposure. We found that the spread differential is at wide
levels vs. history in the most cyclical and COVID-exposed sectors (Materials, Energy,
Industrials). On the other hand, the BBB-A spread basis is at relatively normal levels,
looking at some of the more defensive sectors (Consumer Staples, Healthcare, Tech).
Considering the strong nature of the recovery, we are projecting, the breakdown of the
spread basis across sectors to us is encouraging. It suggests that there is lingering
uncertainty about the most levered/high-beta credit, and this should provide an
attractive investment opportunity as the recovery plays out. On the other hand, the
relatively tight spread differential in low-beta sectors is likely for good reason.
Coming into the pandemic, BBBs already had record-high levels of leverage and the
subsequent earnings shock and issuance wave has exacerbated the extent to which the
BBB space is leverage-constrained. We believe issuers in the BBB space have a strong
incentive to use excess cash to de-lever and maintain their IG ratings. The WACC curve
for US credit continues to show a relatively steep cost of downgrade from IG to HY,
while the cost of capital is relatively flat from A to BBB (see Exhibit 29). In line with our
expectation of more moderate fallen angels in 2021, we are comfortable reaching for
yield in BBBs.
For companies in the A-rated space, we believe incentives point less obviously to credit-
friendly behavior. A-rated companies might be quick to restore share buybacks and M&A
activity given the continued record-low cost of debt, although at the margin higher
interest rates (as called for by our interest rate strategists) may temper some
opportunistic issuance.
Risks to our view include a less robust economic or earnings recovery than expected,
leading to underperformance of higher-beta names and fallen angel rates that exceed
our expectations.
Exhibit 28: A-rated Issuers Bulked Up on Cash Balances, as Did Low-BBBs
15
-15
27 1373 73 73 57 64 8210%
-7%
20%11%
32%
49% 52%
24%32%
72%
-40
0
40
80
120
160
-20%
0%
20%
40%
60%
80%($bn)Change in Cash Balance vs 4Q19
US Non-Financial, Non-Utility
Absolute (RS) % Change
Source: Bloomberg, Morgan Stanley ResearchNote: Current constituents of Bloomberg Barclays US Corporate index, excluding Yankee issuers, financialsand utilities; Based on ratings as of November 2020
Exhibit 29: The WACC Curve Continues to Show a Steep Cost ofDowngrade from IG to HY, but A to BBB Is Relatively Flat Again
3.5%4.0%4.5%5.0%5.5%6.0%6.5%7.0%7.5%
AAA/AA A BBB BB B
Median WACC by Rating
Current Median WACC May 2020 Median WACCNov 2019 Median WACC
Source: Morning Stanley Research, Bloomberg, FTSE Fixed Income Note: As of September 2020
20
2. Overweight Cyclicals, Equal-weight Banks, Underweight Utilities,Healthcare, Tech, and Staples
Our ratings preference plays into our sector preferences as well, as we favor COVID-
sensitive sectors and cyclicals (which tend to be skewed to BBBs) over more defensive
sectors. Specifically, we see value in Industrial sectors such as Capital Goods and
Transportation, in-line with our equity analysts' view on these sectors. The picture for
Energy and Materials remains challenged, with supply still well-outstripping demand for
most commodities, even as economies recovers (see the Commodities Outlook within
the 2021 Global Strategy Outlook). However, these spaces still provide some value and
most IG names should be positioned well enough to cope with near-term
supply/demand imbalances and ultimately benefit from the early cycle environment.
However, we would note that Energy and Materials sectors remain challenged by ESG
concerns, and as a long-term play we would look for names proactive about ESG issues.
Utilities exposed to renewable energy (whether as Green bonds or regular) could also
be attractive in the long-run over Energy names exposed to fossil fuels (while noting
that Utilities are not within our overall sector preference given their defensive nature).
Exhibit 30: The BBB vs A Spread Differential Is at the Long-term Average, While the Ratio IsElevated Compared to History
0.0
0.5
1.0
1.5
2.0
2.5
-100-50
050
100150200250300
90 92 94 96 98 00 02 04 06 08 10 12 14 16 18 20
(bp) BBBs vs As
BBB - A Average BBB/A (RS) Average
Source: Bloomberg, Morgan Stanley Research
21
We remain equal-weight the Financials sector overall. While spreads have normalized
significantly, we still view the sector as having good credit quality/low downgrade risks,
and it should benefit from reduced uncertainty around loan losses as corporate
earnings bounce back and higher interest rates boost revenues. Finance/leasing
companies hit hardest by COVID-19 should also benefit from the V-shaped recovery and
recovery in related industries (such as Capital Goods, Airlines, etc.). These sectors also
display relatively more attractive valuations, as we show in Exhibit 32 where we compare
spread per unit of duration across the sectors of the Bloomberg Barclays US Corporate
index.
On the margin, we underweight Technology and Health Care, where valuations are
relatively rich and companies skew to A-rated issuers which might boost buybacks and
M&A rather than de-lever. Consumer Staples and Utilities fall within our underweight to
less cyclical sectors. Furthermore, valuations are quite rich for Consumer Staples, and
Utilities could be hit by the rising rate environment as well.
Risks to our view again center around a less robust economic or earnings recovery that
leads to underperformance of cyclical sectors in favor of more defensive sectors.
Exhibit 31: Sectors Hardest Hit by the Pandemic Have Raised the Most Cash
2452
139103
19 49
59
19
94%78%
63%52%
31% 29%
9%7%
020406080100120140160
0%
20%
40%
60%
80%
100%($bn)Change in Cash Balance vs 4Q19
US Non-Financial, Non-Utility
Absolute (RS) % Change
Source: Bloomberg, Morgan Stanley ResearchNote: Current constituents of Bloomberg Barclays US Corporate index, excluding Yankee issuers, financials and utilities
22
Looking specifically at COVID-sensitive subsectors of the Bloomberg Barclays index,
spreads remain about 20bp wide to the rest of IG, and we continue to see value here as
economies normalize. Compared to the peak of the crisis, however, there are some
notable changes in constituents of these sub-indices given the concentration of fallen
angels in these sectors. For example, Autos, which was among the most dislocated
sectors at the height of the crisis, has now tightened to levels well through the
beginning of the year on the downgrade of Ford, leaving GM as the largest BBB in the
space among higher-quality foreign issuers. Similarly, the Leisure sector is now devoid of
constituents after the downgrade of Royal Caribbean. The most dislocated subsectors
remain Airlines at 207bp wider YTD, Lodging at 119bp wider YTD, Finance Companies at
97bp wider YTD, Gaming at 97bp wider YTD, Aerospace/Defense at 65bp wider YTD
(skewed by Boeing), and REITs at 35bp wider YTD (all compared to an IG index now
about 16bp wider YTD).
Exhibit 32: Relative Value Across Subsectors of the Bloomberg Barclays US Corporate Index bySpread per Unit of Duration
OAS/Duration
Broad Sector Subsector / IndustryCurrentMkt Val
AverageRating % BBB
CurrentOAS
CurrentDuration
CurrentOAS/Duration
% of 1YRange 1Y Tight Range 1Y Wide
Financial Institutions 2,061,705 97 6.6 14.6 3% 13.0 ■ 64.7Industrial 4,227,575 114 9.5 12.1 2% 11.5 ■ 47.0Utility 564,148 116 11.0 10.5 8% 8.8 ■ 29.2Financial Institutions Finance Comp. 67,252 BAA2 100% 212 5.6 37.7 15% 20.4 ■ 137.2Financial Institutions Other Finance 3,909 A3 25% 115 3.7 30.9 24% 16.6 ■ 75.0Industrial Energy 536,599 BAA1 65% 168 8.5 19.8 6% 15.7 ■ 83.9Financial Institutions REITs 182,199 BAA1 72% 129 6.8 19.1 11% 14.2 ■ 57.2Financial Institutions Banking 1,421,944 A3 21% 84 5.9 14.2 1% 13.3 ■ 72.8Industrial Basic 200,260 BAA2 82% 135 9.5 14.2 1% 13.9 ■ 47.6Industrial Capital Goods 394,170 BAA1 67% 114 8.9 12.8 8% 10.1 ■ 42.6Financial Institutions Brokerage Asset Managers 74,925 A3 50% 90 7.5 11.9 0% 11.9 ■ 62.1Industrial Consumer Cyclical 496,938 A3 46% 95 8.1 11.8 0% 11.8 ■ 65.7Consumer Cyclical Gaming 17,788 233 5.0 46.9 22% 24.6 ■ 124.4Consumer Cyclical Lodging 11,012 195 5.6 35.1 9% 17.9 ■ 215.6Consumer Cyclical Home Construct. 12,704 116 4.6 25.3 7% 16.6 ■ 135.4Consumer Cyclical Automotive 111,099 98 5.1 19.2 0% 19.2 ■ 178.2Consumer Cyclical Restaurants 44,433 97 10.1 9.6 3% 8.7 ■ 35.8Consumer Cyclical Retailers 183,317 82 9.1 9.0 1% 8.6 ■ 36.8Consumer Cyclical Services 116,587 80 9.7 8.3 0% 8.3 ■ 38.6Industrial Communications 643,183 BAA1 75% 130 11.1 11.7 2% 11.1 ■ 40.3Industrial Transportation 174,189 BAA1 66% 128 11.0 11.6 9% 9.1 ■ 35.6Financial Institutions Insurance 311,476 BAA1 50% 115 10.0 11.4 3% 10.6 ■ 38.6Utility Electric 510,445 A3 39% 116 10.9 10.6 9% 8.7 ■ 29.5Industrial Consumer Noncyclical 1,142,662 A3 61% 99 9.8 10.1 0% 10.1 ■ 38.3Consumer Noncyclical Tobacco 84,041 140 8.9 15.7 2% 15.0 ■ 58.1Consumer Noncyclical Supermarkets 13,871 114 10.4 10.9 0% 10.8 ■ 35.0Consumer Noncyclical Health Care 295,355 112 10.4 10.7 1% 10.6 ■ 35.2Consumer Noncyclical Food/Beverage 276,578 101 10.0 10.1 0% 10.1 ■ 41.1Consumer Noncyclical Pharmaceuticals 416,637 85 9.7 8.7 0% 8.7 ■ 36.5Consumer Noncyclical Consumer Products 56,179 64 7.9 8.0 0% 8.0 ■ 36.9Utility Natural Gas 41,014 A3 60% 116 11.5 10.1 5% 9.1 ■ 26.9Industrial Technology 606,666 A3 35% 85 8.7 9.8 0% 9.6 ■ 43.9Utility Other Utility 12,689 BAA1 100% 113 12.3 9.1 0% 9.1 ■ 25.8Industrial Other Industrial 32,908 AA2 9% 115 17.4 6.6 12% 5.6 ■ 14.2
Source: Bloomberg, Morgan Stanley Research
23
3. Extend Out the Curve, Off-the-run High-dollar-price Bonds Look Attractive
Across the credit curve, we think the best source of value for spread-focused investors
is at the long end. With the front end almost back to pre-COVID tights, investors should
look to extend duration to capture incremental spread tightening. While we previously
had a preference for the intermediate tenors, given the stronger growth impulse/bigger
potential for rates to reprice, we see better value at the very long end of the curve.
While 10s-30s curves have flattened a bit in recent weeks, we think there is potential for
further flattening as the Treasury curve bear steepens. In particular, we think domestic
LDI demand should pick up quite strongly, considering the recent improvement in
funding levels. Our simple linear regression of 10s-30s spread curve vs. the level and
shape of the Treasury curve suggests that curves could flatten by ~8bp next year.
Within the large swath of the long end (10Y+), we see the most compelling compression
opportunity in the universe of old off-the-run bonds. We like this universe for a few
reasons. First, while many old long bonds are trading at record high-dollar prices, as
rates rise, these prices should normalize to levels slightly above par, which should make
them attractive for life insurance investors. Second, in a rising-rate environment, high-
dollar-price bonds have outperformed low-dollar-price bonds, given the duration
cushion. Third, we think that high-coupon bonds will remain a target for continued
liability management exercises from companies. While we have seen some high-dollar-
price bond takeouts this year, there has been some resistance to this given the excess
cash required (which would mean higher leverage). However, as prices normalize, we
would expect these bonds to become attractive take-out candidates.
This risk to this view is that rates fall and demand from yield-based buyers does not pan
out, which can drive steeper long-end curves.
Exhibit 33: COVID-sensitive Sectors Remain Wide of Broader IG, but Fallen Angels Leaving theIndex Have Narrowed the Gap
-500
50100150200250300350400450
1/1 2/1 3/1 4/1 5/1 6/1 7/1 8/1 9/1 10/1 11/1
(bp) IG COVID-Sensitive Sectors
COVID-Sensitive vs Rest of IG COVID-Sensitive SectorsIG IG ex-COVID
Source: Bloomberg, Morgan Stanley Research
24
4. Long US IG vs. Agency MBS
While not a pure credit play, for fixed income investors we maintain conviction on being
overweight IG corporate credit relative to agency MBS as the portfolio balance channel
plays out next year. While valuations have richened across the board this year, spreads
are still a fair bit more compelling in corporates vs Agencies. Our Agency MBS
colleagues are projecting an uptick in supply next year on the back of our housing
strategists' bullish forecast of new and existing home sales, as well as continued
incentive to refinance (see 2021 Global Securitized Products Outlook: Don't Change the
Channel, 2020.11.19), which is in contrast to our expectations of a substantial decline in
corporate supply. In addition, rising rates and rate volatility is likely to have a more
explicit impact on the mortgage market than corporates, further bolstering the corp vs.
MBS trade.
The main risk to this view is growth rolls over in the bear case economic scenario, in
which the credit risk premium widens to reflect prolonged uncertainty and downgrade
risks. With rates not rising in this scenario, negative convexity becomes less of a issue for
Agency MBS.
Exhibit 34: The Long End Should Outperform on an Excess-return Basis as Back-end Rates Riseand the Yield Curve Steepens; the "Rolled Down" 30Y Sector Looks Cheaper than on-the-Run 30Y
-60
-40
-20
0
20
40
60
80
10 11 12 13 14 15 16 17 18 19 20
(bp) Cash Credit Curve Shape
25+ Y vs 10-25 Y 10-25Y vs 7-10 Y
Source: Bloomberg, Morgan Stanley Research
25
5. Managing Rate Risk - Own Swaption Hedges Against Higher Rates, Sell Callson IG Bonds
Rising rates and duration risk remain front and center going into 2021 as the economy
improves, and signs of inflation start to show, while the possibility of further fiscal
stimulus remains even in a divided government outcome. Our macro strategy team is
calling for back-end Treasury yields to rise more than 50bp from current levels, which
(as discussed earlier), drives a negative total return projection for IG in the base case. In
our view, IG credit as a spread product is somewhat insulated from the impact of higher
yields. However, as things stand today, the record duration of the IG market has
certainly increased the sensitivity of the market to rising rates, which can cause periods
of choppy price action as outflows outweigh fundamentals. Accordingly, we think
opportunistically owning rate hedges for IG investors makes sense. With rates volatility
still quite low, and payer skew at expensive levels, our Macro Strategy team
recommends 1x2 payer spreads on 30Y swap rates, which can be structured for zero
cost, and protect against a rate rise of ~60bp. The risk to this trade is that back-end
rates fall sharply or that rates volatility picks up, in which case the trade will not
perform on a MTM basis.
Exhibit 35: IG Valuations Remain Cheaper than Agency MBS, as the Portfolio Balance Channelplays Out in 2021
050100150200250300350400
020406080
100120140160180
Feb-19 May-19 Aug-19 Nov-19 Feb-20 May-20 Aug-20
(bp)(bp) MBS and IG Index OAS
MBS OAS IG OAS (RS)
Source: Bloomberg, Morgan Stanley Research
26
Another trade that we like is to generate yield by selling calls on IG bond portfolios. All-
in yields on IG are just 15bp from historical lows, and we think those lows are unlikely to
be re-tested anytime soon. For IG investors looking to enhance yield, selling OTM calls
on IG bond portfolios looks attractive at current implied volatility levels (see more
details in Derivatives section). This risk to this call is interest rates fall sharply back to
historical lows in a scenario where growth rolls over, and IG bond prices rise as a result.
Exhibit 36: Volatility Skew in Interest Rate Swaptions Is Steep, Use Put Spreads to Protect AgainstRising Rates
-12.00%
-10.00%
-8.00%
-6.00%
-4.00%
-2.00%
0.00%
2.00%
4.00%
6.00%
Nov-19 Jan-20 Mar-20 May-20 Jul-20 Sep-20
Volatility Skew in Rate Swaptions
Skew for 25bp OTM vs. 25bp ITM payers Skew for 50bp OTM vs. 50bp ITM payers
Source: Morgan Stanley Research
27
Leveraged Credit
Consistent with our early-cycle narrative, our return forecasts for 2021 reflect an
outperformance of leveraged credit markets vs. investment grade - particularly on total
returns.
We expect HY and loan spreads to tighten in 2021, generating mid-single digits positive
excess returns. Under our base case, HY cash spreads tighten to 350bp and leveraged
loan spreads approach 400bp, generating excess returns of 5.3% for HY and 3.9% for
loans. Using the forecasts of our interest rate team, we input increases in rates next year
of +24bp, +32bp, and +61bp for the 2y, 5y, and 10y UST rates, respectively. We also
assume that the Moody's index default rate will decrease next year to 6.0% in HY, with a
majority of these materializing from the price distressed tails. In loans we expect
defaults to track 6% on the Moody's measure and 3-3.5% on the S&P/LCD measure (the
difference is accounted for by compositional differences and distressed exchanges). The
loss adjusted total returns numbers for HY bonds and leveraged loans are summarized
in Exhibit 37.
In our base case, the economic recovery in the US continues into 2020 and gain steam,
with real GDP growth of 6.0% in 2021, which will lead the US back to the pre-COVID
growth trend by 4Q21. As previously discussed, this central scenario assumes a difficult
wave of COVID this winter, followed by broad availability of an effective vaccine in 2Q21
as well as additional fiscal stimulus. We expect the rebound in leveraged credit EBITDA
that began in 3Q 2020 to gain breadth into 2021, and by mid-year it will begin to be
reflected in improving LTM EBITDA and a peak in leverage. Credit markets have already
priced in this anticipated outcome, and we think that as confidence grows in this earnings
Exhibit 37: Our High Yield and Leveraged Loan Forecasts
Starting Bull Base BearHigh Yield Bonds - Assumptions & Results
2 Yr UST 0.16% 0.60% 0.40% 0.20%5 Yr UST 0.38% 1.10% 0.70% 0.50%10 Yr UST 0.84% 1.75% 1.45% 1.00%HY Index Spd (bp) 422 300 350 600Default Rate 7.9% 3.0% 6.0% 8.0%Loss Rate -0.5% -1.9% -3.0%
Total Return - HY 6.6% 4.5% -4.9%Excess Return - HY 8.5% 5.3% -4.9%
Loans - Assumptions & ResultsLoan Index Spd (bp) 477 370 400 600Default Rate 7.0% 3.0% 6.0% 8.0%Loss Rate -0.4% -1.3% -2.2%
Total Return - Loans 5.2% 4.1% -1.7%Excess Return - Loans 5.0% 3.9% -1.9%
Source: Morgan Stanley Research estimates, Moody's, S&P LCD, Bloomberg. Note: Interest rate forecasts are from Morgan Stanley's Interest RatesStrategy team. Assumes loan excess returns are total returns less the 1-year swap rate
28
trajectory, the rally will broaden to include lower quality issuers and those in COVID
impacted sectors. In this environment, we expect lower quality to outperform, with
scope for 30bp of B spread compression and excess return outperformance vs BBs. We
envision this B outperformance despite BBs now having a 1.4 higher duration than Bs, a
record difference, and which points to scope for additional B total return
outperformance should rates rise more quickly than envisioned in our base case.
However, leverage will remain well above pre-COVID levels or equivalent leverage
levels from the beginning of prior credit cycles. As a result, our forecast for 70-80bp of
spread tightening will still leave HY wider than and loans flat to pre-COVID spread
levels (of 315 and 408 respectively).
In the bull case, we see a less severe second wave of COVID this winter, an accelerated
broad-based vaccine rollout, and a larger more proactive US fiscal stimulus, compared
to our base case expectations. As a result, US growth comes in at 8.7% next year.
Inflation starts to rise more quickly in 2022 to 2.5%, leading to the first Fed rate hike
earlier, in mid-2023. As a result, markets begin to price this outcome next year, and rates
rise more quickly in this scenario, with the 10 yr UST yield rising 87bp to 1.75% at year-
end 2021. Under this scenario, we expect compression themes in credit to be amplified
and front-loaded. Index spreads are likely to breach the prior cycle tights.
In the bear case, we expect a more severe second wave of COVID this winter, and the
potential for a smaller, delayed, or completely absent second round of fiscal stimulus,
compared to our expectations for the base case. As a result, US growth disappoints at
only 3.1% growth next year. The economic recover under this adverse scenario would
take much longer, with risks of a more permanent damage to employment prospects
and consumer sentiment. This setup may result in credit spreads moving rapidly to the
wides set earlier this year, with accompanying tightening in financial conditions triggering
a sizeable second wave of defaults. For the full year, our bear case forecasts pencil in a
partial retracement from the wides as policy response eventually kicks in.
Supply Forecasts
HY Bond Issuance: We forecast $250-$275 billion of USD high yield bond supply for
2021, down ~37% y/y.
HY Refinancing: We expect refinancing activity to decrease in 2021 to about $159
billion, down 44% year over year as issuers settle into longer-dated liability profiles.
Exhibit 38: Our HY Bond and Loan Issuance Forecasts
HY and Loan Issuance Forecasts 2018 2019 2020* 2021 EstHigh Yield
Bond-for-Bond Refinancing 82 113 190 109Bond-for-Loan Refinancing 22 70 95 50Bond Non-Refinancing 65 89 134 105
Gross HY Bond Issuance ($Bn) 169 273 420 250-275Loans
Repayment Rate (%) 24% 21% 16% 19%Total Loan Refinancing 116 98 79 107Loan Non-Refinancing 319 212 211 217
Gross Institutional Loan Issuance ($Bn) 435 310 290 325-350Source: Morgan Stanley Research forecasts, Bloomberg, S&P LCD, FTSE Fixed Income LLC; Note: 2020 data are annualized for the full year.
29
With markets open for much of 2020, issuers have been opportunistic in terming out
their near-term maturities and seizing a lower cost of capital as spreads tightened
following the March and April doldrums. Year-to-date, 2020 has seen about $271 billion
of refinancing activity, 48% above the prior full-year level and not far off from total
2019 gross issuance of $273 billion. In that sense, we see the majority of recapitalization
as having been completed this year and expect a degree of 'mean-reversion' next year
despite our call for even tighter spreads. Bond maturities total a modest $50 billion in
2021, and while $356 billion of HY debt will be callable, only about $129 billion of that
will be in the higher-priced BB bucket - even if exercise ratios continue at a similar clip,
we expect a greater share of called debt simply being repaid with balance sheet cash
shored up this year.
HY Non-Refinancing: We forecast $105 billion of non-refinancing HY volume in 2021,
down slightly year-over-year. There will be two opposing forces acting on non-
refinancing volumes next year: increased appetites for deal-making and M&A, and
decreased necessity for liquidity building as the economic recovery continues to improve
throughout the year. 2020 saw record issuance marked for 'general corporate purposes'
or 'other,' representing nearly 20% of all supply volume. This is well above the usual
~7.5% run rate, reflecting an acute rush to shore up cash in response to the developing
pandemic. Meanwhile, issuance intended for risk-taking was clearly de-prioritized with
M&A/LBO supply amounting to only 11% of volumes YTD, compared to 20-35% in prior
years. Given that cash-to-debt ratios are at historical highs (see 2Q20 Leveraged Credit
Fundamentals) we expect 2021 to be the start of a reversal of the trends above,
ultimately translating into non-refinance volumes slightly below this year's level.
Adding up the above contributions, we arrive at a gross supply estimate of $250-$275
billion, down ~37% year-over-year. Adjusting for our expectation of call activity and
maturities, our net supply estimate comes in at around $50-$60 billion (Exhibit 40).
Exhibit 39: $143 Billion of Par Will Lose Their Call Protection in 2021, 10% of the High YieldUniverse
0
50
100
150
200
250
300
CallableNow
2020 2021 2022 2023 2024 2025
High Yield Par Callable and Maturing
Par Exiting Call Protection Maturities
($bn)
Source: Morgan Stanley Research, Bloomberg, S&P LCD, FTSE Fixed Income LLC
30
Loan Issuance: We forecast $325-$350 billion of institutional leveraged loan issuance
for 2021, up ~17% year-over-year. We see loan repayment rates rising modestly to 19%
in 2021 (up from an estimated 16% in 2020) owing to tightening loan spreads and a
greater proportion of the universe trading above par. As mentioned above, the glut of
balance sheet cash will also incentivize borrowers to pay down outstanding debt as
rating agencies become less forgiving of elevated leverage over time.
Non-refinancing volumes in the loan market have been subdued this year, down roughly
10% vs. the comparable period last year as fund flows have shifted away from loans
and primary activity redirected into bonds. As mentioned already, we view 2021 as
somewhat of a mirror of this year's trends, and as such expect non-refi volumes to pick
up slightly in loans as risk appetites begin to stir and deal-making is put back on the
table. That said, M&A and LBO volumes will still be bound by the envelope of an
incomplete economic recovery in many pockets, and we still expect loan supply to be
reflective of an early-cycle environment to a some degree.
Exhibit 40: We Estimate Gross Supply to Be Down Next Year with Only Modestly Positive NetIssuance
115 8322
107208
89176 181 149
89 80 47(32)
78155
52
144 144
68
164
287218
345 322 310262
229277
169
273
420
264
(100)
0
100
200
300
400
500HY Gross and Net Supply
Net Supply Gross Supply
($bn)
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC; Note: 2020 data are annualized for the full year
Exhibit 41: We Expect Roughly $100 Billion of Net Institutional Supply in 2021
213 237
22(49) 15 30 95
196 18882 76
165 20460 95 98
323386
71 39158
231295
455376
257337
503435
310 290324
(100)
0
100
200
300
400
500
600US Institutional Loan Gross and Net Supply
Net Institutional Supply Gross Institutional Supply
($bn)
Source: Morgan Stanley Research, S&P LCD; Note: 2020 data are annualized for the full year
31
Key Themes
1. Expect trailing 12M default rates in HY and loans to peak around 10% in2Q21, and moderate to 6% by end of the year
Looking back at the trail of destruction. 2020 is no doubt shaping up to be one of the
worst years on record. But there is some evidence to suggest that the magnitude and
length of the default cycle may be more measured this time around (Exhibit 42). Earlier
in the year (see On Defaults and CCC Downgrades), we had argued that the liquidity
runway was a near-term driver of default risk while leverage would still matter most in
the context of downgrades. We still believe that the peak default rates will match the
9% for HY and 10% for loans (Moody's index) that we had forecast then. But what we
under-estimated was the speed with which even sub investment grade companies would
be able to shore up cash buffers. As the normalization of markets after the window of
peak pain in late March/early April progressed quickly, market access even to the lower-
quality names in stressed sectors was restored. Furthermore, rating agencies have also
been patient with companies that ramped up liquidity. As a result, the default and
downgrade damage may not be as extensive/ long lasting as we initially feared. Much of
the pain has also been heavily concentrated in sectors that were in a state of flux even
before the COVID shock. Consumer and Energy names together account for half of YTD
defaults across the leveraged credit universe (Exhibit 43).
Expect default rates to track 6% in 2021, with Q2 being the inflection point. Looking
ahead, we believe that default rates are likely to peak at around 9-10% for HY and
loans (based on the Moody's measure that includes distressed exchanges). Through the
winter and into early 1Q21, we see renewed restrictions and muted incremental fiscal
support weigh on the weakest credits that have not been able to shore up liquidity.
However, as vaccines roll out more broadly in 2Q and the earnings outlook improves,
default rates should start reverting to averages in the back half of next year. For the
full year 2021, we forecast headline default rates to track 6% for HY and loans. On the
LCD default rate measure, we assume a haircut of 2.5%+ versus our headline number,
implying a trailing 12M default rate of 3-3.5%. By comparison, LTM defaults as of
October this year were ~4.8%.
Exhibit 42: This Cycle, Defaults Peak Earlier and at Moderate LevelsCompared to Past Cycles
0%
2%
4%
6%
8%
10%
12%
14%
16%
-36 -24 -12 0 12 24 36
LTM Default Rate in Past Cycles
1991 2002 2009 2017 2020
Source: Morgan Stanley Research, Moody's Note: Shows Moodys' count-weighted speculative grade default rate.
Exhibit 43: Consumer and Energy Lead 2020 Defaults
0%
5%
10%
15%
20%
25%
30%
Con
sum
er
Ener
gy
Med
ia
Indu
stria
ls
Mat
eria
ls
Hea
lthca
re
Tele
com
s
Rea
l Est
ate
Fina
ncia
ls
Tech
nolo
gy
Auto
s
Util
ities
Sector Share of 2020 YTD Defaults (Issuer Count Weighted)
Source: Morgan Stanley Research, Moody's
32
Sizing up leverage and coverage tails. The extended liquidity runway buys even troubled
companies time, but increased borrowing cannot substitute for earnings indefinitely. To
estimate the overhang of downgrades and default, we focus on the weak leverage and
coverage tails based on our 2Q fundamental update. By count, 36% of issuers in our HY
sample now have gross leverage in excess of 6x (Exhibit 44), up from 26% a year ago.
Using an ICR threshold of 1.5x, we find that the spike in this weak coverage tail is more
measured but not far from the historical high. Comparable numbers for our leveraged
loan dataset are 46% for the 6x+ leverage tail and 16% for the sub 1.5x coverage tail
(Exhibit 45). Our default rate forecast of 6% would imply a fairly conservative 40-60%
of the coverage tail runs out of liquidity next year.
The size of the price distressed tail exceeds our default rate forecast for next year -
pointing to room for further compression in tail spreads. Moving on to price-implied
default rates, we note that 7% of the overall HY market is still trading wider than
1000bp (Exhibit 46). While this price distress ratio has dropped significantly from 46%
back in March, it is still well above the pre-COVID levels. The ratio for the ex-energy
cohort is ~5%, versus 19% for the energy complex. The size of the tail and the average
spread (about 2000bp) of the names reflects the market's scepticism around the ability
of these names to benefit from an economic recovery. Similarly on the leveraged loan
side, 12% of the loans market trades below 90 cash price (Exhibit 47) - again well below
the extremes of March and above our default rate forecast.
In converting our default forecast into a loss haircut for the purposes of returns
forecasting (Exhibit 37), we assume that a majority of defaults happen from the price
distressed tails. As a result of this assumption, incremental loss impairment (1.8% for HY
and 1.4% for loans) is much lower than the simplistic PD x LGD calculation. We apply
recovery rate assumptions of 30% for unsecured HY bonds and 45% for first lien loans.
These baseline numbers are below historical averages and in keeping with our
expectations of a low recovery cycle, particularly in loans.
Exhibit 44: Substituting Income Cash Flows with Debt HasUnsurprisingly Resulted in Fatter Leverage and ICR Tails in HY...
0%
5%
10%
15%
20%
25%
30%
35%
40%
2007 2010 2013 2016 2019
HY Issuers in Leverage & Interest Coverage Tail(Count-Weighted)
% with ICR < 1.5x % with Lev > 6x
Source: Bloomberg, S&P Capital IQ, Morgan Stanley Research
Exhibit 45: ...and Even More Significantly So in the Loan Market
0%5%
10%15%20%25%30%35%40%45%50%
2007 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2018 2019
Loan Issuers in Leverage & Interest Coverage Tail(Count Weighted)
% with Lev > 6x % with ICR < 1.5x
Source: S&P LCD, S&P Capital IQ, Morgan Stanley Research
33
2. Monitoring the convexity profile of HY ahead of a shift in rates regime.
The sensitivity of the HY market to rates moves has increased. In many ways, the
debate on the path of inflation and Treasury yields is still a secondary consideration for
leveraged credit investors as defaults and downgrades provide a more important steer.
However, ongoing shifts in the HY market micro-structure make it more sensitive to
moves in the interest rate market. Three considerations are relevant here. First, low
funding yields have incentivized record issuance with lower call protection - 58% of
2020 HY issuance has non-call windows of less than 3 years, versus 39% last year.
Second, the influx of fallen angels has increased the duration of the HY index. Overall,
we estimate that around $156 billion of index-eligible debt representing ~13% of the Jan
2020 BofA HY index notional was downgraded through 2020. Accounting for
subsequent issuance from these companies, this year's vintage of fallen angels accounts
for 14% of the current index notional. More importantly, the average duration of this
2020 fallen angel cohort is 6.2 vs 3.8 for the legacy BB names and 4.3 for the overall BB
index (Exhibit 48). Third, on the back of the yield compression since April, nearly two-
thirds of outstanding HY bonds now trade above their next call price (Exhibit 49). As a
result the convexity profile of the HY bond market has become less favorable. Not
surprisingly, BBs make up a majority of these bonds pricing to next call dates, which also
explains the decline in the reported duration of the cohort.
Exhibit 46: 7% of HY Bonds, and 5% of Ex-energy Bonds Trade Widerthan 1000bp
0%10%20%30%40%50%60%70%80%90%
100%
1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019
HY Distress Ratio (>1,000bp, par-weighted)
HY HY Ex-Energy
Source: Morgan Stanley Research, ICE
Exhibit 47: 12% of Loans Trade Below 90 Cash Price
0%
10%
20%
30%
40%
50%
60%
70%
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Loan Price Distress Ratio (below $90)
Source: Morgan Stanley Research, S&P LCD
Exhibit 48: Influx of Fallen Angels with IG-style Structures Has Createda Tiering in BB Index Duration
3.03.23.43.63.84.04.24.44.64.85.0
Jan-19 Apr-19 Jul-19 Oct-19 Jan-20 Apr-20 Jul-20 Oct-20
Dur
atio
n
Duration Impact of Fallen Angels
All BB Legacy BB
Source: Morgan Stanley Research, Bloomberg, ICE
Exhibit 49: The Yield Compression Since April Has Brought a NotablePortion of HY into Call Range
63%
6% 7%2%
20%
1% 1% 0%
14%
3%9% 9%
23%17%
12% 13%
0%
10%
20%
30%
40%
50%
60%
70%
<-5 -5 to -3 -3 to -1 -1 to 0 0 to 1 1 to 3 3 to 5 >5Current Price - Next Call Price
High Yield Price Gap DistributionFull Market
April 2020 Par November 2020 Par
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC
34
Convexity profiles are a secondary consideration for now, but likely to become more
relevant towards the end of 2021 when the debate around inflation and the Fed
intensifies. In particular, for the callable portion of HY that trades on the cusp of a call
price, relatively modest moves in front end rates could have outsized impacts on the risk
profile. This is not a small cohort either. 32% of the HY bond universe and 34% of BBs
now trade within a 1 point band around the next call price. Adjusting for call protection,
about $356 billion of HY par will be callable by the end of 2021 (Exhibit 50), of which
$129 billion is BB-rated. As Exhibit 51 shows, nearly 90% of outstanding BBs exiting non-
call periods by year end 2021 are close to or above their call price. In short, while the
overall HY market is still some way from being call constrained, a direct consequence of
declining yields has been a deterioration in convexity profiles of legacy BBs.
To illustrate the impact of rising yields, we plot the price vs. yield relationship for
callable BBs and single-Bs, calculating the resulting par-weighted average prices. For
BBs, we found that a 1% decrease in yields, for example, produced around a 61c increase
in price, while a 1% increase in yields led to a 1.1 point price drop (Exhibit 52). The picture
was marginally better for the low cash price callable single-B sample (Exhibit 53). A 1%
yield decline produced a 1.2 pt price gain, while on the other side a 1% yield increase led
to a 1.6 pt price decline.
Exhibit 50: $356 Billion of HY Will Be Past the First Call Date by the Endof 2021
204
9
143
254
171
7086
123
0
50
100
150
200
250
300
0
50
100
150
200
250
300
Callable Now 2020 2021 2022 2023 2024 2025 2025+
Par Exiting Non-Call Period
BB Par B Par CCC Par
($bn)
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC
Exhibit 51: 89% of BBs Exiting the NC Window Are Trading Near orAbove Their Next Call Price
0%5%
10%15%20%25%30%35%40%45%50%
<-5 -5 to -3 -3 to -1 -1 to 0 0 to 1 1 to 3 3 to 5 >5
% o
f Rat
ing
Coho
rt
Current Price - Next Call Price
Price Gap Distribution by RatingExiting Call Protection in 2021
BB Par B Par CCC Par
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC
Exhibit 52: BBs Offer Relatively Muted Additional Upside at CurrentPrice Levels
93
94
95
96
97
98
99
100
101
102
103
-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 5.0
Cal
cula
ted
Pric
e
Yield Change (%)
Callable BB Price-Yield CombinationsPar-Weighted Average
0.61
-1.06
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC
Exhibit 53: Single-Bs Offer a Relatively Advantageous ConvexityProfile
8687888990919293949596979899
-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 5.0
Calcu
late
d Pr
ice
Yield Change (%)
Callable B Price-Yield CombinationsPar-Weighted Average
1.15
-1.64
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC
35
3. For the leveraged loan market, it's finally 'game time' for the Libor to SOFRtransition
Several key dates and milestones in the Libor to SOFR transition loom next year.
Notably, (1) Loans issued after 6/30/2021 will need to reference SOFR from issuance,
and (2) At 12/31/2021, Libor publication is scheduled to cease, triggering existing fallback
mechanisms to switch over to a variant of SOFR.
Background: As we’ve written about in the past, there is a street-wide initiative to
transition away from the usage of Libor as a reference rate and towards what industry
and regulatory bodies have designated as the preferred replacement rate, SOFR.
Regulators have signaled that Libor will no longer be published after 12/31/2021, leaving
market participants the task of transitioning new instruments and contracts to use a
variety of SOFR (or at least contain language to facilitate the switch to SOFR in the
future). SOFR transition also needs to be handled for legacy instruments which mature
after 12/31/2021 and currently reference Libor.
We won’t deal with SOFR 101 here, but would direct you to a comprehensive study of
SOFR from September 2019, see US Rates, Credit & SPG Strategy; Banks: USD LIBOR
Reform (20 Sep 2019). However, from a practical standpoint, SOFR differs from Libor in
two key ways: (1) it is a secured lending rate, whereas Libor is unsecured, and (2) it is a
daily rate, whereas Libor is a term rate available in a variety of tenors, with 3m being the
most common. As a result, daily SOFR is 14bp lower than 3m Libor currently, and has
averaged 32bp lower than Libor over the past 5 years. If daily SOFR were compounded
to a 3m tenor, that average difference would fall to 26bp. Different varieties of SOFR
are currently published on the New York Fed website and on Bloomberg.
Fallback language: In the leveraged loan and CLO markets (both of which currently
reference Libor as a reference rate), the transition has been spearheaded by the LSTA as
part of the Fed’s “Alternative Reference Rates Committee” (ARRC). Deadlines are fast
approaching, and it is important to consider how existing loans that reference Libor will
behave once Libor is discontinued. Prior to 2018, leveraged loans didn’t have any
practical fallback language dealing with the transition from Libor to SOFR. The language
they did have generally suggested that loans fall back to the prime rate if Libor wasn’t
Exhibit 54: Daily SOFR Has Averaged 32bp Lower than 3m USD Libor over the Last 5 Years
0%
1%
1%
2%
2%
3%
3%
4%
2015 2016 2017 2018 2019 2020
Daily SOFR vs Libor
USD 3m Libor Daily SOFR
Source: Morgan Stanley Research, Federal Reserve Bank of New York, Bloomberg. Note: For clarity of comparison, excludes September 2019 1 day SOFR spike.
36
available for some reason (for example, a data vendor outage). However, obvious
differences in rate and behavior between Prime and Libor make this an unsuitable
fallback for the SOFR transition.
Therefore, beginning in 2018 loan deals began to include transition language using an
“amendment approach” which provided for an expedited amendment process via lender
negative consent to a variety of SOFR. In the existing stock of loans outstanding, 78%
contain amendment approach language (18% ARRC style, 60% similar). However, even
via this expedited approach, the potential operational load at the Libor cessation date as
well as well as a desire for more prescriptive treatment has led the LSTA to recommend
a “hardwired approach”. Under this approach, Libor-referencing loans would
automatically switch to using a SOFR variety upon a standardized set of trigger events
around the cessation of Libor publication or other similar regulatory declaration.
The deadline for new issue loans to adopt hardwired language passed on 9/30/2020,
prior to which we haven’t seen broad adoption of hardwired language outside of a small
number of deals. As a result, the share of outstanding loans that has "hardwired"
fallback language is de minimis. However, in the month of October, many loan deals
started to see the inclusion of hardwired fallback language. We haven’t yet seen new
issue loans which reference SOFR from Day 1, unlike in the investment grade market,
where SOFR floaters have become common. We believe that the market will need to
begin inserting hardwired fallback language upon repricing of deals next year and will
need to begin processing amendments for those loans that remain.
Varieties of SOFR. Under the LSTA proposals, loans will follow a waterfall of SOFR
varieties based upon what is available as of the switch date. The first variety in the
waterfall will be forward term SOFR - the variety that most closely mirrors Libor, but
which does not yet exist, and may not exist by the time of the SOFR switch over. In the
event that term SOFR is unavailable, loans will fall back to simple daily SOFR - a simple
average of the SOFR rate, which can be calculated today off of data on the NY Fed
website, Bloomberg, and a number of other data vendors.
SOFR is a daily secured rate, while Libor is an unsecured term rate. Therefore, loans which
currently reference Libor will have to make adjustments to simple SOFR in order to
prevent value transfer in the process of switching from Libor to SOFR. When loans
switch over to SOFR, they will pay the SOFR rate plus an “adjustment factor” which is
defined in the hardwired fallback language. The LSTA is suggesting an adjustment factor
convention which is consistent with ISDA, namely a trailing 5 year daily median
difference between SOFR and Libor which will be paid over and above SOFR plus the
stated spread to make the lender whole for the switch to SOFR. Those rates will
fluctuate over the next 13 months, but are currently published on Bloomberg and stand
at 26bp currently (3m tenor).
Beyond the mechanics as applied to loan documents, there are several additional
considerations. First, aligning SOFR terms and practices across loans and CLOs will be
important to prevent the potential for mismatch between the benchmark underlying the
asset and liability side of a CLO portfolios. Additionally, the buy and sell side have been
working to implement SOFR in the realms of issuance, portfolio management, trading,
and risk management over the past year, work that will continue into 2021 based on our
conversations with market participants.
1
37
Positioning Recommendations
1. Shifting from Neutral to Overweight Leveraged Loans (vs. HY Bonds)
We turn more constructive on leveraged loans and expect the asset class to outperform
bonds in the back half of next year. For the full year, our forecasts imply lower total
returns for loans than HY in our base case, but we think the former offers better
relative value after adjusting for total-returns volatility. In particular, we expect the
returns profile of loans to be more stable in the second half of 2021 when front-end
rates come under pressure per our macro thesis. While many investors may think of
favoring loans over HY bonds as a defensive, late-cycle trade, our view is informed by
three considerations.
We expect loans to exhibit a higher beta to the economic recovery in 2021. The
difference in quality between the loan and bond market has diverged further this year.
56% of the HY bond index is BB or better, compared to 30% for the leveraged loan
market (Exhibit 55). To some extent this divergence is an artifact of large fallen angels'
debt structures "improving" the quality of HY market, but further eroding the quality of
the loan market. No doubt, the fundamental damage due to COVID has been more
severe in the leveraged loan market, with EBITDA down 26% in 2Q y/y for loans versus
20% in HY and leverage rising nearly 1.2x y/y in loans compared to 0.77x y/y in HY
(Exhibit 56). But, contrary to our expectations in the early days of the Covid crisis (see
We Like HY Too), loan borrowers have actually been able to shore up liquidity at a
faster clip than their bond counterparts. This despite more restricted loan market
access.
Going forward, we believe that our base case of above-consensus growth and a strong
earnings recovery should provide stronger tailwinds for loan market fundamentals. We
also believe that the split-CCC ratings problem (see A Widening Ratings Gap) that has
weighed on loan sponsorship may also start resolving to the upside in 2021.
The worst is likely behind for loan market technicals. While we still believe that the Fed
remains on hold into 2023, and therefore don't see LIBOR/SOFR benchmark rate
increases driving materially higher coupons next year, the relative fund flow dynamics
between HY and loans begin to shift well in advance of the first rate hike. Exhibit 57
shows the median weekly fund flow (as a percentage of fund AUM) for HY vs loans
depending on how many Fed hikes (cuts) over the next 1 year are priced into the rates
Exhibit 55: The long-running quality gap between HY and loans hasjumped sharply this year due to influx of fallen angels in HY
25%
30%
35%
40%
45%
50%
55%
60%
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
BB- and Higher Rating Share by Market Value
HY Bonds Loan
Source: Morgan Stanley Research, ICE
Exhibit 56: More fundamental weakness in loans this year, but cashbuild has been comparable
2Q20 Y/Y ChangeHY Loans HY Loans
Y/Y Quarterly EBITDA Growth -20% -26%Y/Y Debt Growth 1.5% 3.6%Gross Leverage 4.97 5.65 +0.77 +1.18Net Leverage 4.09 4.79 +0.20 +0.94Interest Coverage 4.02 3.28 (0.49) (1.05)Cash/Debt 15.8% 16.6% +7.6% +8.4%
Source: Morgan Stanley Research, Bloomberg, S&P LCD, ICE
38
market. Generally speaking, for both HY and loans, a rate-hiking environment is better
for flows than a cutting environment. The obvious justification – that the market
typically prices no hikes or outright cuts when growth is weak. However, the relationship
of loan fund flows to the degree of hikes priced is much stronger than for HY, as one
would expect, given the floating rate nature of the loan market.
Digging into the differences between HY bond and loan flows is instructive. First, the
relative fund flow dynamics between HY and loans begin to normalize once the rates
market stops pricing cuts. Both happened in 3Q20, and provide a more balanced
technical environment for loans over the near term. Second, loan flows begin to
outpace HY flows once the rates market begins to price a rate hike one year out. This
consideration becomes more important toward the end of 2021. Finally, while the
foregoing data only captures the mutual fund/ETF flow dynamic, we also expect
demand from CLOs to improve next year. Our CLO strategists expect $90 billion of US
Broadly Syndicated Loan (BSL) CLO issuance in 2021, compared with $66 billion so far in
2020, an increase of 20-30% y/y.
Valuation considerations are balanced. In spread terms, loans are not simply trading
wide because of the quality differential between the two markets. Adjusting for ratings,
BB loans trade 18bp wide of comparable HY bonds, with the basis increasing to 37bp in
the single-B bucket (Exhibit 59). We acknowledge that the pickup is at the tighter end of
recent ranges. On our composition adjusted measure (based on issuers with both
instruments outstanding), HY bonds on average trade 98bp wider than loans (Exhibit
60). This premium is far less generous than it was in March, but it does not weigh in
favor of loans either.
Overall, our preference for loans is primarily a reflection of managing down rates risk as
we believe rates volatility could propagate to the front end by late 2021. At a more
micro level, the valuation comparisons are evenly balanced.
Exhibit 57: Loan flows improve once the market is no longer pricingcuts, outpace HY once pricing a rate hike 1 year out
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
>= 4 3 to 4 2 to 3 1 to 2 0 to 1 Cuts
(%)
# of Fed Rate Hikes Priced into Rates Markets Over Next 1yr
Loan Market Median Weekly Fund Flows as % of AUMby # of Rate Hikes Priced Over Next 1yr
Loans HY
Source: Morgan Stanley Research, Bloomberg, EPFR Global; Note: The EPFR data and charts displayed heremust not be extracted and republished (whether internally or externally). Such use will violate the terms ofMorgan Stanley's contract with EPFR which only covers named users.
Exhibit 58: Loan flows improve once the market is no longer pricingcuts, outpace HY once pricing a rate hike 1 year out
(30%)
(20%)
(10%)
0%
10%
20%
30%
40%
-4
-2
0
2
4
6
8
2004 2006 2008 2010 2012 2014 2016 2018 2020
(#) Loan Fund Flows vs Rate Hike Expectations
12m # of Rate Hikes in Market Pricing (MSP0KE Index)12wk Cum Loan Fund Flows % of AUM (RS)
Source: Morgan Stanley Research, Bloomberg, EPFR Global
39
2. Fallen Angels Over Legacy BBs in HY
A relatively defensive way to play for the V-shaped economic recovery in HY is to
maintain an overweight on fallen angel names versus legacy BBs. When we initiated this
recommendation back in July (see Parsing the Recent Rally), the basket of fallen angels
(2020 vintage) was trading 125bp wider than legacy BBs. Since then, this basis has
narrowed to 75bp. While we acknowledge that part of this premium is on account of the
longer duration, the relative value comparison is favorable even on a duration-adjusted
basis (Exhibit 61).
The high concentration of fallen angels in cyclical COVID-impacted sectors (Exhibit 62) is
another factor contributing to the above basis. This sector skew has also meant that the
median leverage of the names in this basket has deteriorated at a much faster pace than
BB rated HY companies through recent quarters (Exhibit 63). We believe that the sector
exposure in the fallen angel cohort will work in its favor under the economic re-opening
scenario. As earnings recover, we also expect these companies to be more motivated to
regain their IG rating. While the path back will take time, we expect more creditor-
friendly activity in these names.
Exhibit 59: Within a ratings bucket, loans are beginning to trade widerthan bonds again
0
200
400
600
800
1,000
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
(bp) Loan vs Bond Spread - Ratings Comparison
BB Loans BB Bonds B Loans B Bonds
Source: Morgan Stanley Research, Bloomberg, S&P LCD
Exhibit 60: HY unsecured bonds trade 98bp wide to leveraged loansfor the median issuer of both
0
50
100
150
200
250
300
350
400
Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20
(bp) Median Ticker-Paired Bond-Loan Spread
Source: Morgan Stanley Research, Bloomberg, ICE, S&P LCD
Exhibit 61: 2020 Fallen Angels Trade 75bp Wide to Legacy BBs
-200
-100
0
100
200
300
400
500
Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20
(bp) Dur. Adj FA Spread Premium vs Legacy BBs
Source: Morgan Stanley Research, ICE
40
3. Staying Down in Quality
Banking on laggards to lead the next leg of compression. Measured against the short-
term ranges and pre-COVID tights, Bs have caught up with BBs in recent months (Exhibit
64). However, we therefore maintain that, over the next 12 months, the improvement in
growth and our expectation for a moderation in default rates should help further
compression in the B-BB (and also the CCC-BB) basis. The compression thesis
increasingly relies on the performance of more stressed names within the lower ratings
buckets.
Adjusting for tail contributions and losses. In periods of stress, distortions from
distressed credits can often limit the information content in index spreads. To compare
the relative value across ratings buckets, it is worth stripping out the contribution from
the price distressed tail (Exhibit 65). Even if we focus on the non-distressed cohorts, the
B-BB basis is ~25bp off the prior cycle tights of ~90bp. Nonetheless, for a more
meaningful compression across the quality spectrum, tail credits and cyclical names
have to do the heavy lifting. The impact of potential rates moves and the associated
convexity considerations discussed earlier are also pertinent here. The growing duration
gap between BBs and Bs is likely to weigh of the former's total returns in 2H21. Our
down-in-quality view therefore aligns with the reflation thesis not just in terms of the
growth and earnings narrative but also in the context of the sensitivity to rates.
Another measure that we have relied on in recent times is the "loss-adjusted carry". The
measure is simply a way of adjusting spreads in each ratings category for impairment
risks. To estimate the losses haircut for each bucket, we use the "tail first" - defaulting
credits with the lowest cash price until we get to our default forecast. On this measure,
we find that Bs are the most attractive within HY for a broad range of default
assumptions (Exhibit 66).
On a related note, the fact that a majority of the CCC spread is from the tail names
should not come as a surprise. Elevated tail concentration also translates into a much
higher sensitivity to default assumptions. Given its idiosyncratic nature, we find that
expressing an outright view on this ratings bucket is of little value. Even so, we believe
that the tail credits will participate more in the fundamental-led rally that we expect
in 2021.
Exhibit 62: 2020 Fallen Angels Are Disproportionately Found inCyclical Sectors Compared to Legacy BBs
85%
100%
59%
0%
20%
40%
60%
80%
100%
2020 Fallen Angels 2Q20 Fallen Angels Legacy BBs
Fallen Angels vs Legacy BB % Cyclical (By Par)
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC, ICE
Exhibit 63: Fallen Angel Leverage Up Nearly 3x y/y, vs 0.4x Increasefor Legacy BBs
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
Jun-19 Sep-19 Dec-19 Mar-20 Jun-20
(x) 2020 Fallen Angel vs Legacy BB Gross Leverage
Legacy BB Fallen Angels
Source: Morgan Stanley Research, Bloomberg, FTSE Fixed Income LLC, ICE
41
Despite a deeper earnings shock, a majority of B-rated firms have also been able to
improve their liquidity profiles. From a fundamental standpoint, EBITDA deterioration
in Bs was more severe in 2Q (74%y/y among single Bs vs 31% for BBs). However, the
increase in leverage was comparable across the two ratings buckets and so was the
median improvement in cash-to-debt ratios - 9 percentage points y/y for BB rated
issuers vs. ~7pp for B rated issuers (Exhibit 67). The breadth of improvement was also
strong across both these ratings buckets with 80% of BBs and 70% of Bs reporting a y/y
increase in cash ratios. The ability of even lower rates HY issuers to raise liquidity in
what was arguable one of the weakest earnings periods in history is encouraging. As the
economy heals and earnings rebound, we expect the fundamental dispersion within high
yield to also normalize. In the meantime, the broad based improvement in liquidity
runways should help temper the tiering in default expectations across BBs and Bs.
A key risk to our overall down in quality view is that a slower economic recovery could
trigger a latent wave of defaults and another bout of decompression within HY.
4. Sectors - Barbell re-opening beneficiaries Industrials and ConsumerCyclicals, with Information Technology
Our early-cycle narrative bodes well for cyclical sector performance even within
Exhibit 64: Normalization of Spreads Has Been Slower in BBs and BsDespite the Recent Compression Momentum
52
53
75
127
186
186
185
337
961
235
276
332
490
839
845
1,213
1,194
2,051
62
71
87
149
313
295
379
472
969
AAA
AA
A
BBB
BB Index
-- Legacy BB
-- BB FA
B
CCC
Spread Ranges - (Min, Current, Max)
Source: Morgan Stanley Research, ICE Note: Shows 1yr spread range
Exhibit 65: The Compression Narrative Going Forward Is IncreasinglyReliant on Tail Participation
375 313428
577449
319480
979
1,937
1,4931,685
2,084
0
500
1,000
1,500
2,000
2,500
HY BB B CCC
(bp) HY OAS: Distressed vs Non-Distressed by Rating
Non-Distressed Index Distressed
Source: Morgan Stanley Research, ICE.
Exhibit 66: Bs offer better loss-adjusted carry even under more severedefault rate assumptions
-200-100
0100200300400500600700
2% 3% 4% 5% 6% 7% 8%Default Rate
Loss Adjusted Spread (bp)HYBBBCCC
MSForecast
Source: Morgan Stanley Research, ICENote: Assumed recovery rates = 30% for senior unsecured and 40% for secured
Exhibit 67: Lower-rated Companies Have also Been Able to IncreaseTheir Liquidity Runway and Should Benefit More from Re-opening
Source: Bloomberg, S&P Capital IQ, Morgan Stanley Research; Note: Y/Y change metrics assume the currentuniverse ratings mix.
42
leveraged credit. The expression of this view does warrant some nuance. All sectors
posted negative EBITDA growth in 2Q this year (Exhibit 68), with the earnings damage
particularly concentrated in Industrials (-141% 2Q/2Q) and Consumer Discretionary (-
98%). Beyond these sectors, the extent of EBITDA collapse varied – Energy, Health Care,
Materials and Consumer Staples all had meaningful declines of 10-30%, while
Information Technology remained resilient with only a 3% decline.
Perhaps more interesting is that the two sectors that bore the brunt of the earnings
shock in 2Q now screen favorably on the liquidity front. Consumer Discretionary saw
the second-largest increase in median cash-to-debt ratio y/y, while the improvement in
Industrials was on par with some of the sectors with resilient earnings. Layering on our
equity colleagues' earnings optimism for cyclical sectors in general, we also favor a
barbell of Industrials and Consumer Discretionary but would barbell this with the more
quality-oriented Information Technology sector in leveraged credit.
Stripping out the distressed tails, spreads in Consumer Staples and Energy are
approaching beginning-of-year levels. Shifting from fundamentals to valuations, a major
wrinkle in comparing sector-level spreads is the varying ratings distribution and, by
extension, the size of the distressed tails. In Exhibit 69, we plot the sector distribution of
the distressed (>1000bp spread) tail in HY. Energy was and remains a dominant
contributor to the stressed bucket but, not surprisingly, the contribution of other
sectors has also increased. Digging deeper, we show the ex-tail sector spread in Exhibit
70 and compare these versus the beginning-of-year levels. Overall, we find that even
after excluding the distressed credits, risk premiums in Industrials (particularly Logistics/
Transport) and Consumer Cyclicals (Leisure) and Real Estate remain elevated to
compensate for the fundamental deterioration. At the other end, Consumer Staples,
Communication Services and Energy (mainly Gas Distribution names) are relatively close
to their beginning-of-year levels.
Exhibit 68: 2Q20 Sector Fundamental Summary
Gross Leverage Net Leverage Interest Coverage Cash-to-DebtY/Y LTM
EBITDA GrowthLTM
EBITDA MarginSector 2Q20 Y/Y ∆ 2Q20 Y/Y ∆ 2Q20 Y/Y ∆ 2Q20 Y/Y ∆ 2Q20 Y/Y ∆ 2Q20 Y/Y ∆Utilities 6.25x -1.27x 5.92x -1.34x 3.93x 1.37x 6% 4% 20% 28% 31.5% 8.6%
Health Care 4.38x -0.51x 3.42x -0.80x 5.31x 1.18x 17% 10% -9% -21% 17.6% 1.7%Information Technology 3.81x 0.18x 2.59x -0.43x 4.36x 0.62x 32% 18% 0% -12% 16.5% -0.1%
Communication Services 5.63x 0.54x 5.05x 0.35x 2.87x 0.07x 13% 9% 0% -17% 20.4% -3.0%Industrials 4.67x 0.74x 3.83x 0.56x 4.24x 0.88x 22% 10% -41% -40% 11.3% -0.9%Materials 4.97x 0.86x 4.33x 0.61x 4.59x 0.14x 14% 4% -26% -15% 13.3% -2.2%
Consumer Staples 5.16x 1.04x 4.04x 0.15x 4.37x 0.22x 16% 9% -11% -2% 10.7% -0.6%Energy 4.26x 1.10x 3.65x 0.45x 4.00x 0.76x 3% -2% -7% -42% 41.8% 2.9%
Consumer Discretionary 5.57x 1.24x 4.64x 0.63x 3.69x 0.93x 23% 14% -31% -34% 9.7% -1.8%HY 4.97x 0.78x 4.09x 0.26x 4.02x 0.50x 16% 7% -12% -21% 14.4% -1.5%
Source: Bloomberg, S&P Capital IQ, Morgan Stanley Research; Note: Y/Y change metrics assume the current universe ratings mix.
43
Exhibit 69: Energy, Industrials, and Communication Have Largest Contribution to the HY Tail
0
5
10
15
20
25
30
Ener
gy
Indu
stria
ls
Com
mun
icat
ion
Hea
lthca
re
Con
s. C
yc.
Fina
ncia
ls
Basi
cs
Util
ities
Rea
l Est
ate
Tech
nolo
gy
Con
s. N
on-C
yc.
($bn) Sector Distribution of HY Distressed Tail by MV
Jan 2020 Nov 2020
Source: Morgan Stanley Research, ICE Note: Shows market value of HY bonds trading above 1,000bp
Exhibit 70: Ex-tail Spreads Remain Wide in Consumer Cyclicals, Real Estate and Industrials
0
100
200
300
400
500
600
Ener
gy
Con
s. C
yc.
Indu
stria
ls
Rea
l Est
ate
Fina
ncia
ls
Basi
cs
Com
mun
icat
ion
Hea
lthca
re
Tech
nolo
gy
Con
s. N
on-C
yc.
Util
ities
(bp) OAS of Non-Distressed Cohort Within Each HY Sector
Jan 2020 Nov 2020
Source: Morgan Stanley Research, ICE
44
Derivatives
In the synthetic credit space, we forecast a base case CDX IG spread of 45bp and CDX
HY spread of 265bp for year-end 2021 (see Exhibit 71). Our numbers imply a rolling 1Y
return of ~1.1% for CDX IG and 6.8% for CDX HY. For CDX HY, we estimate 0-2 defaults
over the next 12 months based on our bottom-up methodology coupled with price and
curve-implied measures (we assume 1 default in our return calculations). Our return
projection for CDX HY is better than our excess return number for HY cash, given lower
default expectations and some benefit from roll-down as curves normalize. However, in
CDX IG, with spreads not too far from post-GFC tights, and most of the portfolio trading
at or through pre-COVID levels, we expect the index to perform in line with cash.
Downgrade risk in the synthetic indices remains elevated vs. cash considering the lower
quality skew of the portfolio.
2020 saw record trading activity in synthetic products, with index volumes hitting
historical highs. The unprecedented volatility and outflows in bond markets in March
meant that CDX indices were one of the few spots of accessible liquidity to hedge
against disorderly moves. The same theme played out in reverse through the rally that
followed, with CDX indices providing a liquid scalable way to play the spread
compression theme, resulting in a record build up of non-dealer long positions,
especially in IG. With a lot of risk premium already having compressed, CDX IG at these
levels is vulnerable to bouts of volatility. As such, the opportunity in the CDX IG space is
more around tactical risk-management to the upside and downside, and waiting for dips
to buy risk, rather than simply clipping carry. The case for a beta long or carry is more
compelling in CDX HY, with some excess spread in the low- and mid-beta segments of
the index.
We think there are enough price distortions and opportunities left in the non-linear
products within synthetic credit. Implied volatility remains well above pre-COVID levels
and should normalize next year as part of the early cycle playbook. We like monetizing
it by selling strangles in HY, and over-writing IG bond portfolios. Credit curves in HY
remain too flat considering the ongoing recovery and lower default rates, and we like
front-end steepeners here. In the tranche space, we like selling equity protection in the
legacy IG series (S33) as a leveraged way of capturing excess risk premium in the fallen
angels, and like going long junior mezzanine risk in legacy HY series (S33).
In addition, we expect that bespoke issuance could also rise next year. Volumes this year
were understandably depressed - down ~70% y/y - as volatility rose to unprecedented
levels, and defaults spiked with record low recoveries. Normally, we would expect such
a rebound to happen much later in the cycle. However, considering how quickly spreads
have normalized, we think traditional structured credit investors will look to enhance
yield through such non-linear bespoke opportunities. A backdrop of low/falling defaults
over the next few years bodes well for risk takers down the capital structure. On the
other hand, the excess spread that is still priced into "high quality" HY or cross-over
names, means there is some juice in spreads up the capital structure in mezzanine/senior
tranches.
45
CDX HY vs. IG Compression (1:5 ratio)
As the above forecasts show, we have a preference for HY risk over IG, and expressing
this through the CDS indices (1:5 ratio) is one of our top trade recommendations for
2021. While we have seen the compression trade work since mid-August, we think there
is substantial room for it to play out, considering how much decompression we saw
from 2019 through mid-2020. At a high level, the spread ratio between HY and IG
remains quite elevated relative to history at 6.2x (see Exhibit 72). And this high ratio
persists despite the CDX HY index having the best average credit quality in recent years
(~62% BB), while CDX IG quality continues to weaken (~72% BBBs). Further, the bottom-
up argument now favors HY even more strongly compared to a year ago. Looking at the
composition of the CDX HY index, the current series includes just 7 issuers rated CCC,
compared to 10+ in HY33 a year ago. Of these names, only 2 are trading at deeply
distressed levels at the front-end of the curve, suggesting that near-term default risk is
likely low. Notably, the BB portion of CDX HY35 includes 7 recent fallen angels, which
are levered to the re-opening of the economy next year and the pent up demand
returning. With recent headlines around COVID-19 vaccines suggesting a constructive
outcome, our economists believe that the economy could fully re-open by mid 2021.
This should provide a further catalyst for HY to outperform. In contrast to HY, the CDX
IG index has seen more than 100 names in the portfolio go back to early 2020 tights,
suggesting that aggregate risk premium in the index is quite minimal. As such, we think
downgrade risk in IG is more concerning than default risk in HY. The risk to the
compression trade is that defaults remain elevated next year, which could cause HY to
underperform.
Exhibit 71: Synthetic credit forecasts for 2021; HY to outperform IG; CDX to outperform cash inHY
StartingSpread Bull Base Bear
CDX IG Spread (bp) 53 35 45 75Rolling CDX IG Return 1.6% 1.1% -0.5%
CDX HY Spread (bp) 328 230 265 500Rolling CDX HY Return 8.2% 6.8% -4.2%
Source: Morgan Stanley Research Estimates
46
Sell CDX HY volatility via strangles
Unlike index spreads where much of the risk premium normalization has played out, the
credit options market is still pricing in elevated uncertainty over the coming year. 3M
implied volatility in CDX HY remains well above pre-COVID levels at 7.2%, also trading a
healthy premium to realized. From current levels, we like locking in ranges for HY index
levels and selling 3M strangles (104/109) to collect a premium of ~130c. While HY can
continue to benefit from economic momentum, we think that incremental upside will be
gradual, depending on how reopening will drive fundamentals in some of the challenged
names. On the other hand, the vaccine news has clearly mitigated the downside tail for
HY even in the face of rising COVID-19 cases.
The key risk to this trade is that spreads tighten or widen sharply, or implied volatility
spikes.
CDX HY 3s-5s Steepeners
While several measures of credit market functioning have normalized rapidly this year,
one exception is the shape of curves in CDX HY. Index level 3s-5s curve is at 30bp,
substantially flatter compared to history. Given the much cleaner quality of HY35, the
level of index curves is no longer markedly skewed by deeply distressed tail names. For
Exhibit 72: The CDX HY to IG ratio remains elevated relative to history
4.04.55.05.56.06.57.07.58.0
Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20
CDX HY/IG Spread Ratio(x)
Source: Morgan Stanley Research
Exhibit 73: HY volatility remains well above pre COVID levels, even asspreads have normalized more rapidly
3%5%7%9%
11%13%15%17%19%
CDX HY 3M Price ATM Implied Vol
Source: Morgan Stanley Research
Exhibit 74: We like selling strangles in CDX HY to lock in ranges
-200
-150
-100
-50
0
50
100
150
101 103 105 107 109 111CDX HY Price Level at Expiry($)
Sell 3M strangles in CDX HY(PnL in bp ofnotional)
Source: Morgan Stanley Research
47
instance, if we exclude all names trading >2000bp and estimate curves, we see that it
steepens only marginally from 30bp to 42bp, which would still keep it much flatter
than average levels pre-2020. In terms of trade economics, a DV01 neutral steepener on
HY35 has a positive carry of 1.8% of the 5Y notional over 12 months. Naturally the
steepener is long jump-to-default risk. But at these levels the total 1Y carry and roll-
down can pay for the five widest names in the portfolio defaulting (using current
marked recoveries). In other words, even if there are idiosyncratic JTD events next year,
the curve is flat enough to offset those. The risk to this trade is that the economy
double dips, defaults spike significantly, and curves flatten even beyond the stressed
names.
Long CDX HY 35 vs. Sell iBoxx HY TRS
Within HY, we see better risk-reward in being long via the CDX indices than cash, and like
going long HY35 vs. selling IBOXHY TRS to September. First, looking at relative
valuations, the basis between cash spreads and synthetics has compressed materially,
and is very close to pre-COVID levels. Second, looking at current spread levels, we think
there is more upside in the fallen angel cohort within the CDX indices relative to the
upside in cash. Third, risk-reward for HY cash is constrained by the negative convexity
embedded in the market, with a significant proportion of legacy debt trading to short-
call dates. In a scenario of continued improvement in the economy, this constrains
upside on the cash leg vs. synthetics which provide a cleaner measure of risk premium.
Further, as rates rise, the cash indices will be more vulnerable to bouts of outflows and
extension risk, unlike synthetics.
In terms of execution, we think the entry-point for shorting TRS remains reasonable,
with long-dated contracts trading rich to NAV. We recommend using the Sep contract
for this trade to lock in current attractive levels on the short TRS positions. The risk to
this trade is that defaults pick up rapidly, and rates fall, in which case IBOXHY could
outperform CDX HY.
Exhibit 75: CDX HY curves remain very flat, with the front-end offersexcess default premium at these levels
(175)
(125)
(75)
(25)
25
75
125
175
2006 2008 2010 2012 2014 2016 2018 2020
(bp) 3s-5s CDX HY Spread Curve
Source: Morgan Stanley Research
Exhibit 76: CDX HY 3s-5s Steepener Economics
Source: Morgan Stanley Research
48
Buy Loan TRS vs. IBOXHY TRS (2:1)
As discussed earlier in the leveraged finance section, in a rising rate environment, we
have switched our preference back into loans at the expense of HY bonds. The TRS
market offers a good expression of this view, and we recommend buying the IBXXLLTR
contract, and selling the IBOXHY contract to September using a 2:1 ratio to beta-adjust.
From a market standpoint, the entry-point for this trade remains attractive with HY TRS
trading at a premium, while Loan TRS trades at a modest discount. In addition, client
positioning in IBOXHY remains at significantly more bullish levels than Loans, where it
has trended around flat over the past few months (see Exhibit 78). 2018 data provides a
sense for how positioning could shift as rates rise. Back then, IBOXHY positioning was
consistently net bearish, with shorts peaking at around $1.4 billion. On the other hand,
Loan TRS positioning was quite bullish as the market looked for protection in floating
rate products. Of course there is an important distinction to draw vs. 2018 - back then
the Fed was hiking rates which explicitly helped Loans, unlike 2021 where we are
projecting steeper curves, but the Fed remaining on hold. Nonetheless, given the
magnitude of repricing our macro colleague project in interest rates, we think Loans TRS
will outperform. The key risk to this trade is that growth remains weak, downgrades pick
up (affecting Loans more than HY), and interest rates fall (helping HY more than Loans).
Exhibit 77: CDX HY vs. Cash HY spread basis back to pre-COVID levels
-300-250-200-150-100-50
050
Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20
CDX HY vs IBOXX HY Spread Basis(bp)
Source: Markit, Morgan Stanley Research
49
Overwrite IG bond portfolios
As discussed earlier in the IG section, another trade that we like is to generate yield by
selling calls on IG bond portfolios. All-in yields on IG are just 15bp from historical lows
(see Exhibit 79), and we think those lows are unlikely to be re-tested anytime soon. From
a spread standpoint, we see only modest tightening from current levels, not enough to
offset the rise in Treasury yields. On the other hand, even in a scenario where growth
surprises to the downside, yields are unlikely to test the lows of August. As our Macro
Strategy colleagues recently discussed, the floor on how low government bond yields
can go is higher considering the likelihood of fiscal stimulus even in a divided
government outcome. For IG investors looking to enhance yield, selling 25D OTM calls
on IG bond portfolios looks attractive at current implied volatility levels (see Exhibit
80). This risk to this trade is interest rates fall sharply back to historical lows in a
scenario where growth rolls over, and IG bond prices rise as a result.
Long IG33 5Y 0-3% Tranche, Long HY33 15-25%
In tranches, we like going long equity risk in legacy IG series as a levered play on upside
in fallen angels. At 44pts upfront, the equity tranche in IG33 5y (Dec 24 maturity) is
priced for almost 3 defaults. However, the tail of the portfolio is almost entirely
Exhibit 78: Client positioning much more bullish in HY TRS than Loans; that could change as rateskeep rising
-2,000-1,500-1,000
-5000
5001,0001,5002,0002,500
Jun-15 Mar-16 Dec-16 Sep-17 Jun-18 Mar-19 Dec-19 Sep-20
($MM) Net Non-dealer Positioning
IBXXLLTR IBOXHY
Net Sellers of Risk
Net Buyers of Risk
Source: DTCC, Morgan Stanley Research
Exhibit 79: All-in IG yields are close to historical lows
0.02.04.06.08.0
10.012.014.016.018.020.0
19 29 39 49 59 69 79 89 99 09 19
(%) Long-Term Corporate Bond Yield History
US Recession IG Average Current
Source: Moody's, Federal Reserve, Bloomberg, NBER, Morgan Stanley Research
Exhibit 80: IG bond implied volatility remains elevated, and has roomto normalize further
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
2012 2013 2014 2015 2016 2017 2018 2019 2020
IG Bond 3M Implied Vol
Source: Bloomberg, Morgan Stanley Research
50
comprised of recent fallen angels, that are trading significantly wider than market
averages (the average spread of the 8 widest names in the index is ~590bp). As the
positive effects of a COVID-19 vaccine play out, we expect these names to compress vs.
the broader index. The IG equity tranche provides a levered play on these names, and a
more liquid trade than simply going long via a basket of CDS. The risk to this trade is
that vaccines are less effective than expected, and the economic re-opening takes longer
to play out we expect.
In HY tranches, we like going HY S33 15-25%, at a spread of ~1000bp/$ price of 83. After
accounting for realized losses, the HY33 junior mezz tranche has an effective
attachment point of 5.1% and detachment point of 16.7%, with 89 names left in the
index. Effectively the tranche is immune to 7 additional defaults (assuming 30%
recovery), before it faces principal impairment. In addition, the current upfront price and
coupons, offset an additional 3-5 defaults, depending on how they are distributed. Given
our constructive macro outlook, and the cleaner quality of the remaining names in the
HY portfolio (almost 70% are BBs), we think the junior mezzanine tranche offers
reasonable default cushion at these levels (see Exhibit 82). It stands out to us as one of
the few double digit return opportunities in this tight spread environment. The risk to
this trade is that realized defaults are more severe than we anticipate, eroding the
subordination of the tranche rapidly and causing MTM downside.
Exhibit 81: IG 33 equity tranche offers a levered upside play on a recovery in fallen angels
20.0%25.0%30.0%35.0%40.0%45.0%50.0%55.0%60.0%65.0%70.0%
Sep-19 Dec-19 Mar-20 Jun-20 Sep-20
IG33 0-3% Upfront Price
Source: Morgan Stanley Research
51
Exhibit 82: HY33 junior mezz tranche is an attractive high beta long, with some cushion against amodest pace of defaults going forward
-80.00%
-60.00%
-40.00%
-20.00%
0.00%
20.00%
40.00%
0 2 4 6 8 10 12 14 16 18 20 22 24
Terminal Payout of HY33 15-25% vs. Number of Defaults
Source: Morgan Stanley Research. Note: Assumes that defaults happen half way between today and index expiry
52
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