agent-based models and financial stability david aikman* bank of england 12 th april2013 complexity...
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Agent-based models and financial stability
David Aikman*Bank of England
12th April2013Complexity Models for Systemic Instabilities and Crises
Lorentz Centre
*The views expressed in this presentation are those of the presenter and not necessarily those of the Bank of England. Not for further distribution. 1
Outline
• What are the goals and policy levers of a macroprudential regime?
• What do policy institutions need to know to operationalise a macroprudential regime?– what models and tools are currently being used?
• Where might Agent Based Models fit in?
2
Macroprudential policy
3
Extraordinary Times
2004
Q2 2004
Q3 2004
Q4 2004
2005
2005
Q3 2005
Q4 2005
2006
Q2 2006
Q3 2006
Q4 2006
2007
Q2 2007
Q3 2007
Q4 2007
2008
Q2 2008
Q3 2008
Q4 2008
2009
Q2 2009
Q3 2009
Q4 2009
2010
Q2 2010
Q3 2010
Q4 2010
2011
Q2 2011
Q3 2011
Q4 2011
2012
Q2 2012
90
95
100
105
110
115
120
125
130
Index (2004=100)
15%
UK Euro area US
2004
Q2 2004
Q3 2004
Q4 2004
2005
2005
Q3 2005
Q4 2005
2006
Q2 2006
Q3 2006
Q4 2006
2007
Q2 2007
Q3 2007
Q4 2007
2008
Q2 2008
Q3 2008
Q4 2008
2009
Q2 2009
Q3 2009
Q4 2009
2010
Q2 2010
Q3 2010
Q4 2010
2011
Q2 2011
Q3 2011
Q4 2011
2012
Q2 2012
90
95
100
105
110
115
120
125
130
Index (2004=100)
11%
2004
Q2 2004
Q3 2004
Q4 2004
2005
2005
Q3 2005
Q4 2005
2006
Q2 2006
Q3 2006
Q4 2006
2007
Q2 2007
Q3 2007
Q4 2007
2008
Q2 2008
Q3 2008
Q4 2008
2009
Q2 2009
Q3 2009
Q4 2009
2010
Q2 2010
Q3 2010
Q4 2010
2011
Q2 2011
Q3 2011
Q4 2011
2012
Q2 2012
90
95
100
105
110
115
120
125
130
Index (2004=100)
8%
Source: Thomson Reuters
Simple linear trend used for pre-crisis trends
4
Crisis Cost
Only WWI was more costly
2005 2007 2009 2011 2013 2015 201770
80
90
100
110
120
130
140
IMF forecastGDPPre-crisis trendGreat DepressionWWIWWII
Index: March 2008 = 100
6
Extraordinary Times
Source: GFD
Short-term policy rates
16941695169616971698169917001701170217031704170517061707170817091710171117121713171417151716171717181719172017211722172317241725172617271728172917301731173217331734173517361737173817391740174117421743174417451746174717481749175017511752175317541755175617571758175917601761176217631764176517661767176817691770177117721773177417751776177717781779178017811782178317841785178617871788178917901791179217931794179517961797179817991800180118021803180418051806180718081809181018111812181318141815181618171818181918201821182218231824182518261827182818291830183118321833183418351836183718381839184018411842184318441845184618471848184918501851185218531854185518561857185818591860186118621863186418651866186718681869187018711872187318741875187618771878187918801881188218831884188518861887188818891890189118921893189418951896189718981899190019011902190319041905190619071908190919101911191219131914191519161917191819191920192119221923192419251926192719281929193019311932193319341935193619371938193919401941194219431944194519461947194819491950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120120
2
4
6
8
10
12
14
16
18UK US
Percentage Points
2012
7
Extraordinary Times
182118221823182418251826182718281829183018311832183318341835183618371838183918401841184218431844184518461847184818491850185118521853185418551856185718581859186018611862186318641865186618671868186918701871187218731874187518761877187818791880188118821883188418851886188718881889189018911892189318941895189618971898189919001901190219031904190519061907190819091910191119121913191419151916191719181919192019211922192319241925192619271928192919301931193219331934193519361937193819391940194119421943194419451946194719481949195019511952195319541955195619571958195919601961196219631964196519661967196819691970197119721973197419751976197719781979198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020110
5
10
15
20
25Percent of GDP
Bank of England balance sheet
What is macroprudential policy?
8
• 2 components of systemic risk (Borio and Crockett, 2000)– Cyclical vs structural or time series vs cross section
• Cyclical risks = credit cycle– Upswing amplified by increasing leverage, maturity transformation,
intra-financial system activity, and looser terms and conditions in markets
– Factors go into reverse in downswing
• Structural risks– Systemically important financial institutions (“TBTF”)– Opacity, complexity
Medium-term cycle in real credit and GDP in the UK
9
Macroprudential policy in the UK
• Financial Policy Committee (FPC) set up to take a top-down macroprudential view
• Mandate to “protect and enhance the resilience of the UK financial system”- Subject to that, support
growth and employment
Financial Policy
Committee
Monetary Policy
Committee
Prudential Regulation Authority
10
• Includes members of the BoE’s executive, microprudential heads, and externals:– Non-voting HM Treasury representative
Financial Policy Committee’s powers
General Recommendations
• eg to HM Treasury over regulatory perimeter
Comply or Explain Recommendations
• Better suited for tackling structural, cross-sectional risks
Directions
• Binding instructions
11
Microprudential regulators
• Directions carry greater statutory force – so which specific tools?
Which macroprudential tools?
12
• FPC will have immediate powers over – Countercyclical capital buffer (CCB)– Sectoral capital requirements (SCRs)
• Future candidates?– Leverage ratio (in 2018, subject to review in 2017)– Liquidity tool– Margining requirements– LTV / LTI restrictions
Policy Statement: The FPCs’ Powers to Supplement Capital Requirements (2013)
Countercyclical capital buffer (CCB)
• Part of Basel III• Level playing field:
– FPC sets CCB rate for UK lending
– Other countries set national CCB rate for overseas lending
– Mandatory reciprocity in EU up to 2.5% RWAs
13
Sectoral capital requirements (SCRs)• FPC sets temporary additional capital requirements on
– Residential mortgages– Commercial property exposures– Exposures to other financial sector entities
• More targeted/flexible than CCB– Could target risky sub-sectors
• High-LTV mortgages• Financial sector: institutions (eg exposures to SPVs) or
instruments (eg repos)– Could apply to stock of existing loans or just new lending
14
What do we need to know to operationalise a macroprudential regime?
15
Risk assessment
process
FPC decisio
ns
Coordination
process
Implementatio
nImpact
16
Policy process
Measuring systemic risk
• What is the current level of systemic risk? How has risk changed in the last quarter?– What summary statistic indicators should we look at?– Should we run more/less stringent stress tests? – What does a “severe but plausible” stress look like?
• Where are the major structural fault-lines in the financial system?– Which institutions/markets/infrastructures are most
systemic?
17
Macroprudential indicators
18
19
Macroprudential indicators
Stress testing - RAMSI
Source: Aikman et al (2009) Source: Burrows, Learmonth and McKeown (2012)
Understanding the impact of policy
• What transmission mechanism would we expect a change in capital requirements to have?– On financial stability – On growth– On different segments of society
• Which tools are best suited to tackling a particular problem?
• How should we think about the interaction across tools? 21
Transmission map
22
Source: Bank of England (2013)
Nelson and Gabor (2013): DSGE framework
Simulating a credit boom under different capital requirements rules
• By leaning against the wind, countercyclical capital requirements can moderate credit cycles
quartersquartersquarters
Solid line: no interventionDashed line: fixed capital requirementDotted line: countercyclical capital requirement responding to credit imbalance
Bridges et al (2013): Estimating the sectoral impact of capital requirements
Impact of a 100 basis point increase in Pillar 2 requirements
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
01 2 3 4 5 6 7 8 9 10
Per cent
Quarters
HH UNSEC HH SECPNFC CRETotal
• Micro-econometric estimates of the impact of micro-prudential standards on credit volumes
Gai et al (2011): Haircuts and liquidity
Source: Gai, Haldane and Kapadia (2011)
Haircut vs frequency of liquidity hoarding in a geometric network
Gai et al (2011): Haircuts and liquidity
Source: Gai, Haldane and Kapadia (2011)
Haircut vs frequency of liquidity hoarding in a geometric network
• Raising liquidity requirements as haircuts fall reduces contagion risk
Where might ABMs fit in?
27
• We’re in exploring mode
• ABMs seem to offer major advantages– allow a more flexible characterisation of expectations
and instability– Allow modelling of detailed features of credit markets
• Caution too: – ABMs seem overparameterised; – question marks too over their story-telling power
How do ABMs fit in?
28
• How different might recent macro history have been had we had a countercyclical macroprudential regime in place?
• Which policy lever would have been most potent in pricking the housing bubble? LTVs, LTIs, amortisation periods, capital requirements, interest rates etc
• How does banking market structure affect transmission mechanism of policy?
• Can one construct a simple model of procyclicality based on adaptive expectations? Or on strategic complementarities such as “keeping up with the Goldmans”?
Some concrete suggestions
29
• What impact might the shift towards collateralised lending have for financial stability? For growth?
• Under what conditions might the insurance sector be a shock absorber?
• What are the financial stability implications of Vickers? Liikanen? Volcker?
• What are the implications of simple vs complex regulatory rules? Eg leverage vs risk-based capital requirements?
Some concrete suggestions (cont)
30