Bank Runs, Prudential Tools and Social Welfare in a Global Game General Equilibrium Model

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Bank Runs, Prudential Tools and Social Welfare in a Global Game General Equilibrium Model Daisuke Ikeda Bank of England 10 April 2018 Financial crises: predictability, causes and consequences The views expressed in this presentation are those of the author and should not be interpreted as those of the Bank of England or the Bank of Japan Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 1 / 1

Need a simple model of prudential tools 10 years since the crisis Recovery phase is over Evaluation phase of Basel III We are looking for a simple model Three essential ingredients: 1 Systemic risk event 2 Financial system resilience 3 Sources of inefficiencies Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 2 / 1

Bank runs as a systemic risk event Most of the crises feature bank runs (Gorton 2012) Bank runs include market runs Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 3 / 1

What I did Developed a two-period general equilibrium model that features 1 Bank runs in a global game framework (systemic risk event) 2 Endogenous probability of bank runs (banking system resilience) 3 Some sources of inefficiencies Conducted welfare analyses and studied prudential instruments: Leverage restriction (capital requirement) Liquidity requirement Bank-specific/sectoral capital requirement Restriction on concentration risk Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 4 / 1

Main results 1 Excessive bank leverage and insufficient liquidity = Too high systemic risk 2 Two sources of inefficiencies 1 Risk shifting (Jensen and Meckling 1976) 2 Pecuniary externalities (Christiano and Ikeda 2016) 3 Multiple tools needed; risk migration 4 General equilibrium effect: which tool is more effective? 5 Applications Bank-specific/sectoral capital requirements and risk weights Concentration risk Deposit insurance Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 5 / 1

Single takeaway: risk migration Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 6 / 1

Related literature Global game bank run models Rochet and Vives (2004) Goldstein and Pauzner (2005) A two-period general equilibrium model with financial frictions Christiano and Ikeda (2013, 2016) Closely related papers Kashyap et al. (2017); Vives (2014); Kara and Ozsoy (2016) Allen and Gale (2017) The literature on liquidity regulation is still at an early stage. Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 7 / 1

Road map 1 Model with leverage and liquidity 2 Main results Excessive leverage and insufficient liquidity Sources of inefficiencies 3 Applications Bank-specific/sectoral capital requirements Concentration risk 4 Preliminary result on the dynamic model Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 8 / 1

The two-period model: Overview Households Banks Fund managers Consume Save Take in deposits Risky lending Decide run or not Have private info Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 9 / 1

Households Supply curve of funds Price taker Exogenous income Utility over consumption in periods 1 and 2 Deposit contract Aware of bank default risk Owner of banks Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 10 / 1

Households: analytical expression s.t. max u(c 1) + E(c 2 ), {c 1,c 2,d} c 1 + d y, c 2 vrd + π, where v = { 1 with prob. 1 P (no bank default) < 1 with prob. P (bank default) Solution: supply curve of funds: R = u (y d) 1 P + E(v default)p Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 11 / 1

Fund managers Fund managers behaviour Risk neutral Private info about bank return (normally distributed) Decide run or not Payoff is exogenous Rewarded if right decision Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 12 / 1

How do they form perceived probability of bank default? Liquidity crisis Perceived prob is high when: Private info is bad More fund managers run Costly early liquidation Bank is risky High leverage Low liquidity High interest rate Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 13 / 1

Fund managers strategy Equilibrium strategy Cutoff is increasing in: Leverage Interest rate Cost of early liquidation Cutoff is decreasing in: Liquidity Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 14 / 1

Fund managers: analytical expression (leverage only) Withdraw iff P i > γ R k = bank return; L = leverage; x = # of fund managers who run Threshold strategy: withdraw if private info s i < s Equilibrium threshold s = s : Pr(R k < R k s ) = γ, ( R k = R 1 L) 1 [ ] 1 + λx(r k, s ), x(r k, s ) = Pr(R k + ϵ i }{{} =s i < s ) Limit case in which private info becomes infinitely accurate: ( s = R k = R 1 1 ) [1 + λ(1 γ)] L Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 15 / 1

Banks Demand curve for funds Exogenous bank capital Cannot commit to their actions Market signal: interest rate only Tradeoff: higher leverage Higher return on equity Higher default probability Tradeoff: more liquidity Lower return on bank assets Lower default probability Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 16 / 1

Banks: analytical expression (leverage only) Bank defaults iff R k < R k Deposits d = (L 1)n, where n is bank capital Bank s problem: E(π) = max {L} R k (L) Optimality condition: { [ ( )] } R k L R 1 + λx R k, s (L) (L 1) ndf (R k ). 0 = (R k R)dF (R k ) Rλ R k ( x R k, s ) Rλ (L 1) R k s R k x ( ) R k, s (L) df (R k ), s (L) L df (Rk ) Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 17 / 1

Competitive equilibrium Demand and supply curve for funds Endogenous variables Consumption in period 1, 2 Deposits Leverage Liquid asset holdings Interest rate Recovery rate Systemic risk Market clearing: Deposits = (Leverage - 1) capital Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 18 / 1

Competitive equilibrium: analytical expression (leverage only) Household optimality condition: R = u (y (L 1)n) 1 P + E(v default)p Bank optimality condition: 0 = (R k R)dF (R k ) Rλ R k ( x R k, s ) Rλ (L 1) R k s Recovery rate { { R k v = min 1, max R R k x ( ) R k, s (L) df (R k ), s (L) L df (Rk ) L L 1 λx(rk, s ), 1 R k 1 + λ R }} L L 1 Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 19 / 1

Regulator s problem Leverage restriction Leverage too high? Liquidity too low? Systemic risk too high? Improve social welfare? Sources of inefficiencies? Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 20 / 1

Regulator s problem: analytical expression Regulator sets leverage and liquidity (liquidity-deposit ratio) Otherwise, everything is the same as competitive equilibrium Regulator does so to maximize social welfare: subject to max SW = u(c 1) + E(c 2 ), {L,m} Household optimality conditions Bank run risk (fund managers behaviour) Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 21 / 1

Analytical result 1: Elevated systemic risk Proposition In a competitive equilibrium: Leverage is excessive, given any choice of liquidity Liquidity is insufficient, given any choice of leverage Consequently, systemic risk is too high Policy implications Need leverage restriction Need liquidity requirement Need both Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 22 / 1

Analytical results 2: Sources of inefficiencies Proposition There are two sources of inefficiencies: 1 Bank risk shifting: affects both leverage and liquidity 2 Pecuniary externalities: affect only leverage Intuition 1 Risk shifting: banks do not internalize their choice of riskiness (leverage and liquidity) on the (risky) interest rate 2 Pecuniary externalities: costs associated with bank runs depend on the (risk-neutral) interest rate (households willingness to supply funds) Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 23 / 1

Parameterization for numerical analyses US banks 2008-2017 (Miller and Sowerbutts 2018) Target values Leverage = 15 Liquidity ratio relative to deposits = 5% Crisis probability = 5% (BCBS 2010) Deposit interest rate = 2% Average bank asset return = 3.5% (after-taxed RoE = 15%) Standard deviation of bank asset return = 2.5% Supply curve of funds: relatively flat or steep Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 24 / 1

Risk migration: leverage or liquidity requirements only Risk migrates from one area to another Tightening liquidity requirement worsens welfare when the supply curve is relatively flat (α = 0.01). Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 25 / 1

Joint effects of leverage and liquidity requirements on social welfare α = 0.01 (flat supply curve) α = 0.1 (steep supply curve) Liquidity requirement is more tightened. Leverage restriction is more tightened. Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 26 / 1

Comparative statics: constrained optimal allocation Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 27 / 1

Application 1: Regulated banks and shadow banks Two types of banks; leverage choice only Type-j bank specializes in lending to sector j {1, 2} Sector 2 is risker than sector 1 Risk migration: leverage restriction on type-1 banks only Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 28 / 1

Application 1 (cont d): Bank-specific/sectoral capital requirements Joint effects of type-specific leverage restrictions Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 29 / 1

Application 2: Concentration risk One type of banks; leverage and portfolio choices Identical and independent two types of lending Portfolio [0.5, 0.5] minimizes the riskiness of bank assets Risk migration: leverage restriction and portfolio choice Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 30 / 1

Recap: Mind risk migration Leverage and liquidity Regulated banks and shadow banks Leverage and portfolio choice Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 31 / 1

Future work: dynamic model Endogenous bank capital, household income and bank asset return Impulse responses to a severe TFP shock Ikeda (BoE) Bank Runs and Prudential Tools 10 April 2018 32 / 1