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Asset Price Bubbles and Monetary Policy: A Multivariate ExtensionBy Andrew Filardo, BIS
Prepared for a workshop on “Fundamental and Non-fundamental Asset Price Dynamics: Where Do We Stand?”, Venastul, Norway, 14-15 February 2008
General MotivationGreenspan, Bubbles and Policy
“In conclusion, the endeavors of policy makers to stabilize our economies require a functioning model of the way our economies work. Increasingly, it appears that this model needs to embody movements in equity premiums and the development of bubbles if it is to explain history.”
Jackson Hole 2002
Key Contributions Of This Paper
Methodology – relatively simple macro setup and “realistic” multivariate bubble specification do work and yield key insights
Modelling – endogenous multivariate bubbles in a dynamic macro model
Monetary policy – conventional wisdom about ‘benign neglect and mopping-up later approach’ may be too optimistic in the current policy environment
Preview Of Findings
Multivariate bubble considerations complicate the policy tradeoffs:
It is optimal to respond to asset prices generally and bubbles specifically!
Defensive strategies – preventing and pricking asset price bubbles
Opportunistic strategies – use bubbles to achieve stabilization goals
Monetary Policy And Asset Prices
Asset price booms and busts have been extreme developments that monetary authorities have had to face.
Monetary Policy an Asset Prices
Asset price booms and busts are an important feature of the monetary policy landscape going forward. [Borio, English and Filardo (2003)]
The double-bubble aspect of this relationship has been underappreciated
Asset price booms and busts have been extreme developments that monetary authorities have had to face.
Road Map
Lay out monetary policy model
Multivariate bubble specification
Results
Policy implications and conclusions
The Greenspan Approach – Conventional Wisdom?
“ …Greenspan’s preferred approach to bubbles is to let them burst of their own accord, and then to use monetary policy (and other instruments), as necessary, to protect the banking system and the economy from the fallout…the ‘mop-up after’ strategy
“If the mopping up strategy worked this well after the mega-bubble burst in 2000, shouldn’t we assume that it will also work after other, presumably smaller, bubbles burst in the future?”
Blinder & Reis, Jackson Hole 2006
Three Modelling Blocks
Small-Scale Macro Model
1 1 , 1 1
1 1 , 1
( )
( )
t t t AP t t t
t t t NF t t
IS y r y
PC y
φ π π
βπ
Asset Price Block
, , ,( ) AP t F t NF tAP π π π
,, 1 1
,
,, 1 1
,
( )
( ) ( , )
e eeF t t
F t t th hhF t t
eB t
NF t t t thNF t
F i y
B y r
π
π
Optimal Monetary Policy
{ , , , }var( ) var( ) var( )
1Min
a ay F NFL y r rr
a a
subject to the model of the macroeconomy and asset prices:
,
,
,
,
1F t
F t
B t
B t
t
t
e
h
e
h
y
ttt AX BEX
, ,F F t NFt Ft tt Nyr a y a a π a π
Modelling the BubbleTime-Varying Transition Probability (TVTP) Model For
Each Bubble
1,
0,
1,
it
bubble
I no bubble
bubble
Asset price bubble distribution
assuming I(t-1) = 0
0
0.2
0.4
0.6
0.8
-1 0 1
I(t)
Pro
ba
bilit
y
Modelling the Bubble
Time-Varying Transition Probability Model
Sample Path of a Bubble - “Blowing Bubbles”
-20
-15
-10
-5
0
5
10
15
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Time periods
Modelling the Bubble
No-Bubble State Transition Probability
10,0
1
exp(0.5 )0.96 1.92 0.5
1 exp(0.5 )i t
t
yP
y
10,1 0,0
1
exp( )(1 )
1 exp( )i i t
t
yP P
y
0, 1 0,0 0,11i i iP P P
0
0.5
1
-10 -5 0 5 10
y t-1
Function of yt-1
Modelling the Bubble
Bubble State Transition Probability
2 specifications
- weakly interacting multivariate bubbles
- strongly interacting multivariate bubbles
housinghousing 1 1 1
1,1 housing1 1 1
exp(2.5 1.1 0.4 0.1 )
1 exp(2.5 1.1 0.4 0.1 )t t t
t t t
y rP
y r
‘Own’
duration dependence
t-1equityAdd τ for strong version
Housing bubble
transition probability
Results for Optimal PolicyV
ari
anc
e o
f in
fla
tio
n
Variance of output
Optimal Monetary Policy Frontiers
tatyyatr **
Results for Optimal PolicyV
ari
anc
e o
f in
fla
tio
n
Variance of output
Optimal Monetary Policy Frontiers
Superior policy
Results for Optimal PolicyV
ari
anc
e o
f in
fla
tio
n
Variance of output
Optimal Monetary Policy Frontiers
Basic Result I: Pricking AP Is Optimal
Optimal Policy Frontiers
No response to AP
Responseto AP
r a y ayt t t t a APAP
Basic Result 2: Knowing NF and F not critical
Optimal Policy Frontiers
No response to AP
Responseto AP
Response to F and NF
r a y ayt t t a π a πF F,t NF NF,t
A Little Bit of Nonlinearity, Important Consequences
1 1
1 1
( , )
( , )t
t
t
t
et
te
h
h
t
t
t t
y r
y r
tE
Bubblepart
Nonlinear Impulse Responses Illustrate…
Endogenous bubble models admit richer dynamics
Chaotic behavior is possible
Monetary policy helps to stabilize the economy…
… by not only pricking bubbles but also by exploiting bubbles (Blanchard, 2000)
Expected Durations
How do the expected durations of a bubble change over time?
- Assume in the no-bubble steady state and a pickup in economic activity begins
- In simulations, an 8-period positive shock to y
Expected Durations – Monetary Policy Matters!1
, , , ,1 1 1
( | ) ( | ) (1 )i
t t i i t j j t i j j t ki i k
E D I j D F D I j i p p
Expected Duration for Housing Bubble
Start with an equity bubble (1995)
• Then a housing bubble begins (1999)
• Then recessionary shocks start (2000) & soon after the equity price bubble collapses
• Subpar growth shocks end (2002)
• Equity price bubble restarts (2003)
Counterfactual simulation (?)
Expected Duration for Housing Bubble
Recession ends at point D and optimal R increases!E bubble
H bubble
Recession
Summary – So Far
Optimal policy indicates central banks should respond to asset price bubbles on the way up as on the way down in other words, no Greenspan benign neglect on the upside
Also, double bubbles are a double whammy on Greenspan approach don’t be too
aggressive on the downside
Consensus view a la Blinder/Reis not robust!
Extra Consideration – Closer to Reality: Incorporating Uncertainty Into Analysis
PAYOFF MATRIX
True macroeconomic structure
H price bubble matters H price bubble not matter H price bubble matters
Lmatter, matter=8.2 Lmatter, not matter=8.3 Monetary authority’s view
H price bubble does not matter
Lnot matter, matter=9.3 Lnot matter, not matter=8.2
Compare the expected gains and losses from reacting to asset prices – Risk Management!
PROBABILITY STRUCTURE
H price bubble matters H price bubble not matter
H price bubble matters
Pmatter Pnot matter Monetary authority’s view
H price bubble does not matter
Pmatter Pnot matter
Bayesian Expected Loss Analysis
Implications for Monetary Policy and Benign Neglect
Threshold
Degree of confidence in bubble matters!
Conclusions
In this class of models, generally monetary authorities want to respond to asset prices; it also optimal to “prevent and prick them.”
Findings about optimal monetary policy in multi-bubble environment:
- Intuition from single-bubble models might be misleading at this policy juncture
- Greenspan approach in 2000+ may not be as attractive in 2008+
Conclusions
What’s next on policy modelling front?
- Forward-looking behavior (lengthening horizon!)
- Uncertainty with small probability events (tail risk, insurance motives and ‘Greenspan/Bernanke put’)
- Optimal policy mix especially at the ZLB
Conclusions
What’s next on bubble modelling front?
Better micro-foundations for financial imbalances and bubbles
- What is the role of money and credit?
- What is the nature of the coordination failure?
- What is the role of rational herding and information cascades? Other behavioral models of asset prices?
So, here’s an alternative explanation for why the timing and size of the 75 basis point intermeeting cut in the federal funds rate target. Chairman Bernanke and his colleagues want us to know that when they see changes in the economy that compromise their medium-term stabilization objectives, they will act.
January 23, ???
Where do we stand?... Now, In Disarray
Investors expect the federal funds rate to be as low as 2.25% by the end of the year...In trying to prevent financial-market calamity, the (Bernanke) Fed may find itself pushed by Wall Street to leave interest rates too low for too long.
The Economist, 31 January 2008