•xVA with Threshold and Independent Amount•Netting Intuition
Topics from the xVA desk
[email protected], Counterparty Credit & Funding Risk, Danske Bank, Markets
•Standalone/Incremental/Marginal xVA•Other challenges on the xVA desk
xVA with Threshold and Independent Amount
Threshold and Independent Amount
•If the ISDA (Master Agreement) is supported by a CSA (Credit Support Annex) the counterparty credit risk will be mitigated to a certain extend that depends on the specific details of the CSA.•The CSA stipulates that Collateral must be exchanged when the exposure of the derivatives portfolio covered exceeds a given Threshold, and when the difference between collateral exchanged and current exposure exceeds a given Minimum Transfer Amount.•In addition to the collateral exchanged to cover the exposure, an Independent Amountmay be exchanged, and sometimes delivered by both parties at the same time.•If the Threshold is zero (or very low), and Minimum Transfer Amount is very low, and
2Source: www.danskebank.com/CI
•If the Threshold is zero (or very low), and Minimum Transfer Amount is very low, and Collateral can be called for on a daily basis, the exposure is reduced significantly to be a matter of Close-Out risk (not covered further in this talk).•For any significant Threshold level the exposure below contributes to the CVA.•If an Independent Amount is received, only the exposure above contributes to the CVA.•Depending on the right to rehypothecate, the Independent Amounts delivered and received should be handled carefully for DVA and FCA.
xVA with Threshold and Independent Amount (cont.)
Threshold and Independent Amount
•With V(t) denoting the portfolio value at time t, and H the level of the threshold, the exposure driving CVA (and FCA) is given by:
•If in addition IA denotes the independent amount received, the exposure driving CVA is given by:
Graphically this may be expressed by:
)0)),(,max(min()( tVHtExposure
)0),)(,max(min()( IAtVIAHtExposure
Exposure Comparison, H=30, IA=10
3Source: www.danskebank.com/CI
Graphically this may be expressed by:
0
10
20
30
40
50
60
-50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50
Exposure Comparison, H=30, IA=10
max(V,0) max(min(H,V),0) max(min(H-IA,V-IA),0)
xVA with Threshold and Independent Amount (cont.)
Credit Valuation Adjustment - recap of LS-MC approach
•CVA is defined as the following (ignoring recovery R for simplicity):
•If V can be computed in closed form or through a quick model we are done (but have to take the pain of deriving closed form expressions or implement quick models).
•We can do LS-MC on V to get a proxy (with the tilde), and evaluate CVA as:
T
dtttVECVA0
)()(
T
dtttVECVA )()(~
4Source: www.danskebank.com/CI
•This puts a high demand on the proxy, which needs to be very close for all states of the underlying variables, even in the extremes.
T
dtttVECVA0
)()(~
xVA with Threshold and Independent Amount (cont.)
Credit Valuation Adjustment - recap of LS-MC approach
•To reduce the dependency on the proxy the following alternative CVA calculation is used:
])(1])([[
])(1)([
])()([
0 0)(~
0
proxyregression
0)(~
0
T
tV
T
tt
T
tV
T
dttduucEE
dtttVE
dtttVECVA
5Source: www.danskebank.com/CI
•We now only depend on the proxy close to zero.
])()(1[
])(1)([
0
notionalCVA
0 0)(~
0 0)(~
0 0)(
cashflowfuture
T u
tV
T
tV
T
t
tVtt
duucdttE
dudttucE
xVA with Threshold and Independent Amount (cont.)
Credit Valuation Adjustment � with Threshold
•To take a threshold H into account we can modify the CVA slightly:
])())(
~,1min(1)([
])())(
,1min()([
])()0),),(max(min([
0 0)(~
0
0
T
tV
T
T
dtttV
HtVE
dtttV
HtVE
dttHtVECVA
6Source: www.danskebank.com/CI
•The dependence on the proxy is now stronger, but still most important around zero and around and above H!•Same trick can be applied to FCA and DVA, taking into account that Threshold may be different for counterparty and investor (us).
])())(
~,1min(1])([[
)(
0 0)(~
0
T
tV
T
tt dtt
tV
HduucEE
tV
xVA with Threshold and Independent Amount (cont.)
Credit Valuation Adjustment � with Threshold and Independent Amount
•To take a threshold H and an independent amount IA received into account we can modify the CVA slightly more (assume H >> IA) :
])()0),~,~1max(min(1)([
])()0),)(
,)(
1max(min()([
])()0),,)(max(min([
0
0
T
T
T
dttIAHIA
tVE
dtttV
IAH
tV
IAtVE
dttIAHIAtVECVA
7Source: www.danskebank.com/CI
•The dependence on the proxy is now even stronger, but still most important around zero , around IA, and around and above H-IA!•If IA received may not be rehypothecated (used for funding) the exposure used for FCA is unchanged.
])()0),)(
~,)(
~1max(min(1])([[
])()0),)(
~,)(
~1max(min(1)([
0 0)(~
0 0)(~
T
tV
T
tt
tV
dtttV
IAH
tV
IAduucEE
dtttV
IAH
tV
IAtVE
xVA with Threshold and Independent Amount (cont.)
Credit Valuation Adjustment � with Threshold and Independent Amount
•Graphically we can compare the impact on the CVA Notional:
20
30
40
50
60
Value Decomposition, H=30, IA=10
0.40
0.60
0.80
1.00
1.20
CVA Notional Comparison, H=30, IA=10
8Source: www.danskebank.com/CI
0
10
-50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50
IA max(min(H-IA,V-IA),0) Collateral
0.00
0.20
-50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50
CVA_Ntl CVA_Ntl(H) CVA_Ntl(H,IA)
xVA with Threshold and Independent Amount (cont.)
Expected Positive/Negative Exposure � with Threshold and Independent Amount
•Example (i): 1B EUR 10Y IRS, Counterparty Pays Floating, Investor (us) Pays Fixed, IRS set ATM before XVA.
30,000,000
40,000,000
50,000,000
60,000,000
70,000,000
Exposure, Threshold = 50M EUR, IA = 10M EUR
30,000,000
40,000,000
50,000,000
60,000,000
70,000,000
Exposure, Threshold = Infinite, IA = 0
9Source: www.danskebank.com/CI
-40,000,000
-30,000,000
-20,000,000
-10,000,000
0
10,000,000
20,000,000
30,000,000
EPE ENE EE
-40,000,000
-30,000,000
-20,000,000
-10,000,000
0
10,000,000
20,000,000
30,000,000
EPE ENE EE
xVA with Threshold and Independent Amount (cont.)
Expected Positive/Negative Exposure � with Threshold and Independent Amount
•Example (i): We can decompose the exposure into exposure captured by IA and collateral recevied/posted beyond the Threshold.
20,000,000
30,000,000
40,000,000
50,000,000
60,000,000
70,000,000
Exposure (stacked), Threshold = 50M EUR, IA = 10M EUR
10Source: www.danskebank.com/CI
-40,000,000
-30,000,000
-20,000,000
-10,000,000
0
10,000,000
20,000,000
Positive Collateral Positive Exposure Positive IA
Negative Collateral Negative Exposure Negative IA
Netting Intuition
Expected Positive Exposure (EPE) is an option on a portfolio
•Most quants have a developed intuition for what impacts the value of a call option on a single underlying. Often this intuition is derived from careful study of the Black-Scholesmodel and the background theory.•This intuition is less developed for options on the sum or difference of several underlyings, say basket or spread options, nor for best-of types of options.
•For analyzing Credit Valuation Adjustment and related xVAs, the ability to understand netting effects between different trades, or risk factors in a derivatives portfolio is crucial!•Most often this analysis is done on a before-and-after basis, hence the comparison is
11Source: www.danskebank.com/CI
•Most often this analysis is done on a before-and-after basis, hence the comparison is between the existing netting set and the netting set augmented with a new trade (alternatively reduced by a terminated trade). The resulting xVA impact is called the Incremental xVA.•When an xVA is decomposed into the contributions of different trades or risk factors we consider it a Marginal xVA.•Before analyzing how to compute these in the xVA framework, we consider some intuitive approaches for understanding the EPE and ENE impact.
Netting Intuition (cont.)
Expected Positive Exposure (EPE) is an option on a portfolio
•In practice a typical OTC derivatives netting set may consist of 1000�s of trades with exposure across different asset classes and derivative types.•In a pricing situation it is close to impossible (within the time-frame given) to analyze the individual trades of the netting set, and their co-dependency structure in detail.•However, the derivative type and main risk factors of the single (or few) additional trade is known. Further analytics, such as exposure profiles (across time) for the netting set, the additional trade, and the augmented netting set allows heuristic reasoning for incremental xVA impacts.•Consider:
12Source: www.danskebank.com/CI
•Consider:
)()()()(
)()(
)()(
)()(
)()(
1
1
tENEtEPEtVEtEE
tVEtENE
tVEtEPE
tXtV
tXtV
NetNetNetNet
NetNet
NetNet
nNew
n
ii
Net
)()()(
)()()(
and
)()()(
tVtVtVEE
tVtVEtEPE
tEPEtEPEtEPE
NetNetNew
NetNewNetNew
NewNetNewNet
Netting Intuition (cont.)
Expected Positive Exposure (EPE) is an option on a portfolio
•Example (ii): Consider the following hypothetical exposure measures EPE, ENE, and EE observed for a single time point. What could be the possible reasons for the change from Net to (New+Net)?
25
50
75
100
25
50
75
100
25
50
75
100
25
50
75
100
13Source: www.danskebank.com/CI
-100
-75
-50
-25
0
Net New New+Net
EPE EE ENE
-100
-75
-50
-25
0
Net New New+Net
EPE EE ENE
-100
-75
-50
-25
0
Net New New+Net
EPE EE ENE
-100
-75
-50
-25
0
Net New New+Net
EPE EE ENE
Case A Case B Case C Case D
Netting Intuition (cont.)
Expected Positive Exposure (EPE) with a Threshold behaves like a call spread.
•The expected positive exposure (EPE) in the presence of a Threshold H is given by:
•The last expression is identical to a so-called call spread on the value of the netting set with strikes 0 and H.
)0,)(max()0),(max(
)0)),(max(min();(
HtVtVE
HtVEHtEPENetNet
NetNet
40
60
EPE with Threshold H= 50
14Source: www.danskebank.com/CI
0 and H. •From the Black-Scholes analysis we know the behavior of call spreads (or digital options) around the two strikes. In particular their Vega/Gamma sensitivity becomes important in understanding changes in EPE (and ENE) driving Incremental xVA.
-80
-60
-40
-20
0
20
40
-150 -100 -50 0 50 100 150 200 250
max(min(V,H),0) Value Vega
Standalone/Incremental/Marginal xVA
Computing standalone, incremental, and marginal xVA in a single valuation.
•Let VNet(t) denote the value of the existing netting set (portfolio), and let VNew(t) denote the value of the new trade being priced. The corresponding cashflows are denoted cNet(t), and cNew (t),respectively.•Similarly, let CVANet and CVANew+Net denote the CVA of the existing netting set, and the augmented netting set, respectively.•We can then compute Incremental CVA by:
])(1)(1)()([
])()([])()([00
TNetNewNet
TNet
TNetNewNetNetNew
dtttVtVtVE
dtttVEdtttVECVACVA
15Source: www.danskebank.com/CI
])()(1[
])()(11[
])(1)(11)([
])(1)(1)()([
0
notionalCVA
0 0)(~
)(~
0
notionalCVA lIncrementa
0 0)(~
0)(~
)(~
0 0)()(0)(0)()(
0 0)(0)()(
TNew
u
tVtV
TNet
u
tVtVtV
T
tVtV
New
tVtVtV
Net
tV
Net
tVtV
NewNet
duucdttE
duucdttE
dtttVtVE
dtttVtVtVE
NewNet
NetNewNet
NewNetNetNewNet
NetNewNet
Standalone/Incremental/Marginal xVA (cont.)
Computing standalone, incremental, and marginal xVA in a single valuation.
•Adding back in the CVANet we can decompose CVANew+Net into Marginal CVA of Net and New denoted CVANet|Net+New , and CVANew|Net+New respectively:
NewNet
TNewNet
T
tVtV
NewNet
TNetNew
NetNewNewNetNewNetNetNew
dtttVtVE
dtttVtVE
dtttVE
CVACVACVA
])(1)(1)([
])(1)()([
])()([
0 0)()(
0
||
16Source: www.danskebank.com/CI
NetNewNew
NewNet
NetNewNet
NewNet
NewNetNewNet
CVA
TNew
u
tVtV
CVA
TNet
u
tVtV
tVtV
New
tVtV
Net
duucdttE
duucdttE
dtttVtVE
|
|
])()(1[
])()(1[
])(1)(1)([
0 0 0)(~
)(~
0 0 0)(~
)(~
0 0)()(0)()(
Standalone/Incremental/Marginal xVA (cont.)
Computing standalone, incremental, and marginal xVA in a single valuation.
•Example (iii): Net = 100M EUR 10Y IRS, Counterparty Pays Floating, Investor (us) Pays Fixed, New = 200M EUR 5Y IRS, Counterparty Pays Fixed, Investor (us) Pays Floating, both IRSs set ATM before xVA. Assume CP CDS = 2.00% flat, Own CDS = Own Funding = 0.5%
-3,000,000
-2,000,000
-1,000,000
0
1,000,000
2,000,000
0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00
New = EUR 200M 5Y IRS, We pay fixed
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
Net = EUR 100M 10Y IRS, We receive fixed
17Source: www.danskebank.com/CI
-6,000,000
-5,000,000
-4,000,000
-3,000,000
Positive Negative Expected
-3,000,000
-2,000,000
-1,000,000
0
1,000,000
0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00
Positive Negative Expected
Standalone xVA
xVA (s.e.)
CVA 66,174 851 EUR
DVA -80,461 325 EUR
FCA 17,732 227 EUR
xVA Total 3,445 EUR
Standalone xVA
xVA (s.e.)
CVA 769,079 4,471 EUR
DVA -51,311 1,491 EUR
FCA 219,683 1,226 EUR
xVA Total 937,451 EUR
Standalone/Incremental/Marginal xVA (cont.)
Computing standalone, incremental, and marginal xVA in a single valuation.
•Example (iii): Computing Incremental Exposure and Incremental xVA.
-1,000,000
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
0.00 2.00 4.00 6.00 8.00 10.00 12.00
Total Exposure (Net + New)
-4,000,000
-3,000,000
-2,000,000
-1,000,000
0
1,000,000
2,000,000
0.00 2.00 4.00 6.00 8.00 10.00 12.00
Incremental Exposure (Net + New \ Net)
18Source: www.danskebank.com/CI
-2,000,000
Positive (Net+New) Negative (Net+New) Expected(Net+New)
-5,000,000
Positive(Net+New \ Net) Negative(Net+New \ Net) Expected(Net+New \ Net)
Incremental xVA
xVA (Net+New) (s.e.) xVA (Net+New \ Net) (s.e.)
CVA 500,476 3,012 EUR -268,604 2,832 EUR
DVA -41,337 1,000 EUR 9,974 802 EUR
FCA 147,068 847 EUR -72,614 750 EUR
xVA Total 606,207 -331,244 EUR
Standalone/Incremental/Marginal xVA (cont.)
Computing standalone, incremental, and marginal xVA in a single valuation.
•Example (iii): Computing Marginal Exposure and Marginal xVA.
-4,000,000
-2,000,000
0
2,000,000
4,000,000
6,000,000
8,000,000
0.00 2.00 4.00 6.00 8.00 10.00 12.00
Marginal Exposure (Net | Net + New), (New | Net + New)
19Source: www.danskebank.com/CI
-6,000,000
Positive(Net | Net+New) Negative(Net | Net+New) Expected(Net | Net+New)
Positive(New | Net+New) Negative(New | Net+New) Expected(New | Net+New)
Marginal xVA
xVA (Net | Net+New) (s.e.) xVA (New | Net+New) (s.e.)
CVA 696,453 4,260 EUR -195,977 2,197 EUR
DVA -32,058 1,453 EUR -9,279 639 EUR
FCA 200,430 1,181 EUR -53,361 591 EUR
xVA Total 864,825 -258,618 EUR
Standalone/Incremental/Marginal xVA (cont.)
Computing standalone, incremental, and marginal xVA in a single valuation.
•Example (iv): Net=1B USD 5Y CCS vs. 736M EUR, Counterparty Pays EUR Euribor 3M �8.13bp, Investor (us) Pays USD Libor 3M. New = 1B USD 5Y IRS, Counterparty Pays USD Libor 3M Investor (us) pays Fixed 1.751%. Assume CP CDS = 2.00% flat, Own CDS = Own Funding = 0.5%. Notice that effectively, New+Net is a fixed-for-float CCS.
15,000,000
20,000,000
25,000,000
30,000,000
New = 1B USD 5Y IRS, Pay Fixed vs. Rec USD3M
20,000,000
40,000,000
60,000,000
80,000,000
Net = 1B USD 5Y CCS vs 736M EUR, Pay USD3M vs Rec EUR3M - 8.13bp
20Source: www.danskebank.com/CI
Standalone xVA
xVA (s.e.)
CVA 3,873,850 15,117 EUR
DVA -850,636 4,111 EUR
FCA 1,072,246 4,102 EUR
xVA Total 4,095,460 EUR
-10,000,000
-5,000,000
0
5,000,000
10,000,000
0.00 1.00 2.00 3.00 4.00 5.00 6.00
Positive Negative Expected
-60,000,000
-40,000,000
-20,000,000
0
0.00 1.00 2.00 3.00 4.00 5.00 6.00
Positive Negative Expected
Standalone xVA
xVA (s.e.)
CVA 1,539,087 2,109 EUR
DVA -70,346 787 EUR
FCA 417,425 551 EUR
xVA Total 1,886,166 EUR
Standalone/Incremental/Marginal xVA (cont.)
Computing standalone, incremental, and marginal xVA in a single valuation.
•Example (iv): New + Net, total and incremental Exposure and xVA
-20,000,000
0
20,000,000
40,000,000
60,000,000
80,000,000
0.00 1.00 2.00 3.00 4.00 5.00 6.00
New + Net
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
Incremental: New + Net \ Net
21Source: www.danskebank.com/CI
-60,000,000
-40,000,000
Positive Negative Expected
Total xVA
PV (s.e.)
CVA 4,605,043 11,767 EUR
DVA -736,914 4,177 EUR
FCA 1,270,623 3,226 EUR
xVA Total 5,138,751 EUR
Incremental xVA
PV
CVA 731,193 EUR
DVA 113,722 EUR
FCA 198,377 EUR
xVA Total 1,043,291 EUR
-5,000,000
0
0.00 1.00 2.00 3.00 4.00 5.00 6.00
Positive Negative Expected
Standalone/Incremental/Marginal xVA (cont.)
Computing standalone, incremental, and marginal xVA in a single valuation.
•Example (v): Trade = 1B USD 5Y CCS vs. 736M EUR, Counterparty Pays EUR Euribor 3M - 8.13bp, Investor (us) Pays USD Libor 3M, Quarterly Reset of USD Notional(*)!•Consider replacing Net with Trade.
0
5,000,000
10,000,000
15,000,000
0.00 1.00 2.00 3.00 4.00 5.00 6.00
T = 1B USD 5Y CCS vs 736M EUR, Pay USD3M vs Rec EUR3M - 8.13bp,
Quarterly USD Reset
(*) The USD notional is set to the current spot at the beginning of each period and the change in notional relative to previous period is paid/received.
22Source: www.danskebank.com/CI
-15,000,000
-10,000,000
-5,000,000
0.00 1.00 2.00 3.00 4.00 5.00 6.00
Positive Negative Expected
Standalone xVA
PV (s.e.)
CVA 528,295 12,368 EUR
DVA -102,935 3,451 EUR
FCA 142,970 3,293 EUR
xVA Total 568,330 EUR
From an exposure point of view it has the same effect as receiving collateral every 3 months, or alternatively as considering the trade a string of 3M FX forwards.
Incremental xVA
PV
CVA -4,076,748 EUR
DVA 633,979 EUR
FCA -1,127,652 EUR
xVA Total -4,570,422 EUR
Other challenges on the xVA desk
Applying a diverse set of quantitative (and personal) skills.
•The xVA desk may have a mandate to cover both x = Credit, x = Debit, x = Funding, x = Collateral, and x = Capital.•The mandate may evolve dynamically, from pricing trades, to measuring and reporting risk of the derivative portfolio, to actively managing PnL through hedging activity.•It requires a combined set of skills in both Rates, FX, Inflation, Commodity, etc., and not least Credit.•The ability to interact constructively with Sales, Credit, Collateral Management, Legal, and other Trading desks is highly important!
23Source: www.danskebank.com/CI
•Other related challenges may come along:•Collateral optimization, how to post the collateral that is cheapest-to-deliver given the CCS market, the Repo market, and the LCR regulation.•CCP initial margin management, minimize the funding cost of posting IM across several CCPs, keeping Default Fund contributions in check (it is also a counterparty exposure).•Balance-sheet and Leverage Ratio management, through trade-compression, novations, back-loading to CCPs.
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24
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25Source: www.danskebank.com/CI