Bailout Uncertainty, Leverage and Lehman s Collapse

Similar documents
A Macroeconomic Model with Financial Panics

A Macroeconomic Model with Financial Panics

Illiquidity and Interest Rate Policy

Collective Moral Hazard, Maturity Mismatch, and Systemic Bailouts

3. Prove Lemma 1 of the handout Risk Aversion.

1. Introduction of another instrument of savings, namely, capital

Bank Capital, Agency Costs, and Monetary Policy. Césaire Meh Kevin Moran Department of Monetary and Financial Analysis Bank of Canada

Maturity Transformation and Liquidity

John Geanakoplos: The Leverage Cycle

The lender of last resort: liquidity provision versus the possibility of bail-out

Financial Intermediation and the Supply of Liquidity

Credit Booms, Financial Crises and Macroprudential Policy

QED. Queen s Economics Department Working Paper No Junfeng Qiu Central University of Finance and Economics

Lecture 2 General Equilibrium Models: Finite Period Economies

Indexing and Price Informativeness

ECN 106 Macroeconomics 1. Lecture 10

Central bank liquidity provision, risktaking and economic efficiency

ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 Portfolio Allocation Mean-Variance Approach

A Real Intertemporal Model with Investment Copyright 2014 Pearson Education, Inc.

Peer Monitoring via Loss Mutualization

ECON Intermediate Macroeconomic Theory

Macroprudential Bank Capital Regulation in a Competitive Financial System

On the use of leverage caps in bank regulation

1. Under what condition will the nominal interest rate be equal to the real interest rate?

THE ECONOMICS OF BANK CAPITAL

Global Financial Crisis. Econ 690 Spring 2019

Financial Frictions, Monetary Policy, and Exchange Rates. Roberto Chang May 2016

A Model with Costly Enforcement

The Financial System. Sherif Khalifa. Sherif Khalifa () The Financial System 1 / 55

Government Guarantees and the Two-way Feedback between Banking and Sovereign Debt Crises

NBER WORKING PAPER SERIES A BRAZILIAN DEBT-CRISIS MODEL. Assaf Razin Efraim Sadka. Working Paper

Bailouts, Bank Runs, and Signaling

Practice Problems 1: Moral Hazard

A Model of Shadow Banking: Crises, Central Banks and Regulation

Insurance industry's perspective on the project on systemic risk

1-1. Chapter 1: Basic Concepts

Counterparty risk externality: Centralized versus over-the-counter markets. Presentation at Stanford Macro, April 2011

Chapter 2 Theoretical Views on Money Creation and Credit Rationing

Fire sales, inefficient banking and liquidity ratios

Lecture 26 Exchange Rates The Financial Crisis. Noah Williams

Revision Lecture Microeconomics of Banking MSc Finance: Theory of Finance I MSc Economics: Financial Economics I

The Credit Crunch. Macroeconomics IV. Ricardo J. Caballero. Spring 2011 MIT. R.J. Caballero (MIT) The Credit Crunch Spring / 16

The Financial System. Sherif Khalifa. Sherif Khalifa () The Financial System 1 / 52

A Policy Model for Analyzing Macroprudential and Monetary Policies

Credit Frictions and Optimal Monetary Policy. Vasco Curdia (FRB New York) Michael Woodford (Columbia University)

On the Spillover of Exchange-Rate Risk into Default Risk! Miloš Božović! Branko Urošević! Boško Živković!

The Financial System: Opportunities and Dangers

ECON 3560/5040 Week 8-9

CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION

The Rise and Fall of Securitization

Leverage, Moral Hazard and Liquidity. Federal Reserve Bank of New York, February

Implications of Fair Value Accounting for Financial System Stability

Expansions (periods of. positive economic growth)

14. What Use Can Be Made of the Specific FSIs?

Asset Prices, Collateral and Unconventional Monetary Policy in a DSGE model

A Structural Model of Continuous Workout Mortgages (Preliminary Do not cite)

Chapter Fourteen. Chapter 10 Regulating the Financial System 5/6/2018. Financial Crisis

Multi-period mean variance asset allocation: Is it bad to win the lottery?

COUNTRY RISK AND CAPITAL FLOW REVERSALS by: Assaf Razin 1 and Efraim Sadka 2

Financial Economics Field Exam January 2008

Enhancing Insurer Value Via Reinsurance Optimization

Imperfect Transparency and the Risk of Securitization

Bank liabilities channel

Microeconomics Qualifying Exam

Liquidity Regulation and Credit Booms: Theory and Evidence from China. JRCPPF Sixth Annual Conference February 16-17, 2017

Asymmetric Information: Walrasian Equilibria, and Rational Expectations Equilibria

Risk preferences and stochastic dominance

Some Simple Analytics of the Taxation of Banks as Corporations

Managing Confidence in Emerging Market Bank Runs

Supplement to the lecture on the Diamond-Dybvig model

Global Games and Financial Fragility:

Optimal External Debt and Default

The Financial System. Sherif Khalifa. Sherif Khalifa () The Financial System 1 / 74

International financial markets

Banks and Liquidity Crises in Emerging Market Economies

Lecture 25 Unemployment Financial Crisis. Noah Williams

DEPARTMENT OF ECONOMICS Fall 2013 D. Romer

Convertible Bonds and Bank Risk-taking

Optimal Monetary Policy in a Sudden Stop

LECTURE NOTES 3 ARIEL M. VIALE

Bank liabilities channel

A Model with Costly-State Verification

Discussion of Evaluating the Cost of Government Credit Support: The OECD Context by Deborah Lucas

AGGREGATE DEMAND. 1. Keynes s Theory

Leveraged Losses: Lessons from the Mortgage Market Meltdown

Markets, Banks and Shadow Banks

The Credit Channel of Monetary Policy I

The Demand and Supply of Safe Assets (Premilinary)

Capital Allocation Between The Risky And The Risk- Free Asset

Monetary Economics. Lecture 23a: inside and outside liquidity, part one. Chris Edmond. 2nd Semester 2014 (not examinable)

Clearing, Counterparty Risk and Aggregate Risk

Breaking the Spell with Credit-Easing:

Discussion of Relationship and Transaction Lending in a Crisis

Working Paper S e r i e s

Revision Lecture. MSc Finance: Theory of Finance I MSc Economics: Financial Economics I

NBER WORKING PAPER SERIES EXCESSIVE VOLATILITY IN CAPITAL FLOWS: A PIGOUVIAN TAXATION APPROACH. Olivier Jeanne Anton Korinek

Do Intermediaries Matter for Aggregate Asset Prices? Discussion

Discussion of The Great Escape? A Quantitative Evaluation of the Fed s Non- Standard Policies by Del Negro, Eggertsson, Ferrero, and Kiyotaki

Institutional Finance

Federal Reserve Tools for Managing Rates and Reserves

Transcription:

Lehman s Collapse Alex Cukierman 1, 2 3 1 Berglas School of Economics Tel Aviv University 2 The Jerusalem School of Business Administration The Hebrew University of Jerusalem 3 Recanati Graduate School of Business Administration Tel Aviv University May 5, 2010 equilibrium

Goals Model the impact of bailout policy on the volume of leverage and likelihood of a crisis Analyze the impact of a change in perceptions about government bailout policy on financial markets and the real economy (Lehman s collapse) Analyze the impact of expansionary monetary policy on leverage and risk appetite Analyze the impact of a change in perceptions about the economy on financial markets and the economy equilibrium

Outline equilibrium equilibrium

Chronology of CDS rate around Lehman s collapse (September-October 2008) Date Event CDS Spread 13-14/9 150 15/9 Lehman files for chapter 11 16-17/9 Paulson suggests TARP to 250 Congress 18-19/9 150 22-23/9 Paulson & Bernanke address 450 Congress 24-25/9 350 29/9 Congress rejects Tarp proposal Almost 450 3/10 Amended Tarp approved by Congress 5-10/10 Aftermath of approval 150 equilibrium

Motivation and mechanism Animal spirits (Akerlof Shiller) vs rational agents subject to uncertainty The impact of bailout uncertainty on leverage and the role of duration mismatches Extended example of a general equilibrium partially microfounded model of financial markets aimed at analyzing the interrelationships between financial markets Focus is on the shadow banking system in which long term credit is financed by means of short term liabilities equilibrium

Recent work Meltzer and others, bailout uncertainty John Taylor (2009), the impact of low interest rates on the likelihood of a crisis Farhi-Tirole (2009), collective moral hazard Tirole (2010), illiquidity Sieczka, Sornette and Holyst (2010), bankruptcy cascades equilibrium

Financial flows ZL ZF rl rb L F B RA (qa) Econ (1-ZL) rf (1) rf (1) Goverment (1-ZF) RI (qi) Idio equilibrium

Timeline 3 periods labeled: 0,1 and 2 All investment decisions are made in period 0 Once chosen the project size cannot be adjusted equilibrium

Financing - debt maturity Only short term loans are available Two periods projects are financed by two consecutive one period loans If internal resources and credit refinancing does not suffice a default occurs In case of default all equity vanishes equilibrium

There is a large number of each of the following 3 kinds of players: s (B) - entrepreneurs, manufacturers Financial intermediaries (F) - hedge funds, SIVs and conduits s (L) - pension funds Mass: M B, M F and M L Capital: Each individual player (irrespective of type) possesses one unit of equity capital. For Fs this unit may be composed of capital and exogenous long term debt. equilibrium

Each borrower invests in a single long term (two periods) investment project The project size, x, is selected to maximizes the borrower s expected utility The borrower s utility function is { WB if W u(w B ) = B 0 F if W B < 0, F > 0 If needed (x > 1) B borrows an additional amount, L B from F at a gross (one plus) interest rate r Bt, t = 1,2 equilibrium

Borrows an amount L F from many lenders at r L In each period F lends a fraction z F of his resources (1+L F ) to two borrowers at a gross rate r B The remainder, 1 z F, is invested in a risk free asset whose gross rate, r f, is set by the central bank A F chooses L F and z F so as to maximize his expected utility from profits, W F, in each period F possesses a quadratic utility function: u(w F ) = W F b 2 W2 F, W F < 1 b equilibrium

Each lender invests a portion z L of his resources in a fully diversified portfolio of loans to Fs and a portion 1 z L in the risk free asset Each lender lends to a large number of Fs at r L. As a consequence his risky portfolio is fully diversified s are risk averse characterized by a mean-variance preferences (CARA preferences) u(w L ) = 1 α e αw L, α 0 equilibrium

(project) - yield Returns on all projects are equally distributed A project s gross return in each period is the sum of an aggregate and an individual shock R = R A + R I The aggregate (economy-wide shock) R A, is binomially distributed: R A = { RA w.p. q A 0 w.p. 1 q A The idiosyncratic shock, R I, is binomially distributed: R I = { RI w.p. q I 0 w.p. 1 q I equilibrium

(project) - yield RA and R I are independent across periods and mutually independent within a period The idiosyncratic shock, R I, is independent across projects R A < R I The distribution of payoffs is ranked 0 < R A < 1 < µ B < R I < R A +R I µ B E R equilibrium

- default Can possibly default in either period 1 (illiquidity) or in period 2 (insolvency) A borrower who defaults loses his investment project When B defaults the F who lent to him loses the (gross) rate, r Bt, t = 1,2 A borrower defaults in period 1 if he can t refinance the project A borrower defaults in period 2 if his cash flow is smaller than the required debt service Financial requirements equilibrium

- yield The income from a portfolio consist of two loans r B : Yield Probability The two borrowers are solvent r B q A +(1 q A )qi 2 One borrower defaults and one is solvent 1 2 r B 2(1 q A )(1 q I )q I Both borrowers default 0 (1 q A )(1 q I ) 2 equilibrium

- default Can possibly default in either period 1 (illiquidity) or in period 2 (insolvency) Defaults when at least one of his two borrowers defaults His creditors (L) lose the fraction of the (gross) rate, r L, invested in that particular F provided there are no governmental bailouts. Financial requirements equilibrium

Governmental bailout policy Government may repay the gross debt owed to lenders by defaulting Fs The probability that the debt service of a defaulting F is payed by government (a bailout) is π Likelihood of bailout is independent across Fs In case of bailout lenders receives the debt service r L equilibrium

- yield The return to a lender on his (fully diversified) portfolio of loans is normally distributed with mean E({ r L }) = ( q A +(1 q A )q 2 I +π(1 q A ) ( 1 q 2 I)) rl and variance Var({ r L }) = q A (1 q A )(1 π) 2 (1 q 2 I) 2 r 2 L Variance of return on risky portfolio is the covariance between two loans. equilibrium

Equilibrium s interest rates Proposition In equilibrium with positive quantities the yields satisfy 0 < r f < r L < r B equilibrium

Summary Player Index Leverage Mass Income Expenses B L B M B R rb FI F L F M F r B r L L 0 M L r L 0 R = RA + R I Probability of receiving R A is q A Probability of receiving R I is q I Probability of bailout is π Probability of receiving r B is determined by q A and q I Probability of receiving r L is determined by q A, q I and π equilibrium

s optimal leverage Since Bs payoffs are discrete the probability of default is a step function of L B The optimal leverage is L µ B = B +(R A 1)rB2 e rb2 e (1+r B1) µ B rb2 e R A equilibrium

s optimization F s wealth is at the end of each period W F = (1+L F )[z f r B +(1 z f )r f ] r L L F The distribution of return from two loans, r B, is Return Probability State r B γ 1 F S 1 2 r B γ 2 F PD 0 1 γ 1 F γ2 F D equilibrium

s optimization Proposition At an optimum with positive leverage F invests all his resources in risky loans to Bs and L F (r B,r L ) = (γ1 F +0.5γ2 F )rb rl b[γ1 F rb(rb rl)+0.5γ2 F rb(0.5rb rl)] b[γ 1 F (rb rl)2 +γ 2 F (0.5rB rl)2 +(1 γ 1 F γ2 F )r2 L] where γ 1 F = 1 (1 q A )(1 q 2 I) γ 2 F = 2(1 q A )(1 q I )q I equilibrium

s optimization Proposition Provided the marginal utility from W F is positive at twice the value of W F in the full solvency state (which is the case when b is sufficiently small): L F r L < 0, L F r B > 0. equilibrium

s optimization Proposition A lender s optimal investment in a fully diversified risky portfolio of loans to Fs satisfies z L = E({ r L}) r f αvar({ r L }). equilibrium

equilibrium in period 1 equilibrium of the financial system is characterized by clearing in two credit markets: the market for loans by Fs to Bs and the market for loans by Ls to Fs Given the aggregate demand for loans by borrowers and realized rates of return on real investments the market clearing conditions determine r B and r L In a state of aggregate expansion (E) borrowers rates of return are R A +R I or R A In a state of aggregate contraction (C) borrowers rates of return are R I or 0 equilibrium

equilibrium in period 1 Although equilibrium on financial markets varies depending on whether the economy is in state E or in state C in period 1 the market clearing conditions are qualitatively similar. equilibrium

equilibrium in period 1 Expansion q A (1 q I )M B {(1+L B )(1 R A)+r B1 L B } = M F L F(r B2,r L2 ) = M F {W F1 +L F (r B2,r L2 )} ( ) γ 1 LE + γ2 LE E({ r L2 }) r f2 r L1 M L 2 αvar({ r L2 }) where W F1 is the capital of a solvent F, and γ 1 Li and γ2 Li, i = E,C, are messy functions of q A, q I and π. equilibrium

equilibrium in period 1 The left hand side (LHS) of the first equation is total demand for loans by non rationned Bs and the RHS is the supply of such loans by Fs that survive into period 1 The LHS of the second equation is total demand for loans by Fs and the RHS is the supply of such loans by Ls equilibrium

equilibrium in period 1 Contraction q I (1 q A )M B {(1+L B)(1 R I )+r B1 L B} = q 2 I M FL F (r B2,r L2 ) = q 2 IM F {W F1 +L F (r B2,r L2 )} ( ) γ 1 LC + γ2 LC E({ r L2 }) r f2 r L1 M L 2 αvar({ r L2 }) Proposition A decrease in the probability of bailout reduces γ 1 Li + γ2 Li 2, i = E,C. equilibrium

equilibrium in period 0 There are 6 equilibrium conditions: Period s 0 equilibrium conditions (2 equations), period s 1 forecasted equilibrium condition for the case of expansion (2 equations) and period s 1 forecasted equilibrium condition for the case of contraction (2 equations). There is one model consistent equation for expectations about r B2 Those 7 conditions determine the following 7 endogenous variables: r B1,r L1,r E B2,rE L2,rC B2,rC L2,re B2 equilibrium

equilibrium in period 0 M B L µ B M B +(R A 1)rB2 e B rb2 e (1+r B1) µ B rb2 e R A = M F {1+L F(r B1,r L1 )} M F L F(r B1,r L1 ) = M L E({ r L1 }) r f1 αvar({ r L1 }), equilibrium

Period s 0 forecasts of period 1 equilibrium conditions In case of aggregate expansion ( R A = R A ) q A (1 q I )M B {(1+L B )(1 R A)+r B1 L B } = M F L F (re B2,rE L2 ) = ( γ 1E M F { E0 W F1 +L F (re B2,rE L2 )} L + γ2e L In case of aggregate contraction ( R A = 0) 2 ) r L1 M L E({ r L2 }) r f2 αvar({ r L2 }), q I (1 q A )M B {(1+L B)(1 R I )+r B1 L B} = γ 1C F M F { WF1 +L F (r C B2,r C L2) } ( γ 1C F M F L F (rb2,r C L2) C = γ 1C L + γ2c L 2 ) r L1 M L E({ r L2 }) r f2 αvar({ r L2 }) equilibrium

Period s 0 Expectation about r B2 r e B2 = q A (1 q I )r E B2 +q I (1 q A )r C B2 equilibrium

Financial flows ZL ZF rl rb L F B RA (qa) Econ (1-ZL) rf (1) rf (1) Goverment (1-ZF) RI (qi) Idio equilibrium

Changes in beliefs about bailout policy (period 1) Following a major indication of a shift in government s bailout policy, like not rescuing Lehman, the (perceived) probability of bailout, π, decreases. Proposition A decrease in the perceived probability of bailout reduces E({ r L }) and raises Var({ r L }). Provided the difference between r L2 and r f2 is smaller than 100 percent, both changes operate to reduce the supply of funds by lenders to financial intermediaries. equilibrium

Changes in beliefs about bailout policy (period 1) s: The decrease in perceived π induces a lower expected return and a higher volatility on funds lent to Fs The fraction of funds offered as loans to Fs decreases and the fraction invested in the risk free asset increases The cost of funds, r L, to Fs increases inducing deleveraging by Fs If perceptions are model consistent the decrease in π also directly reduces the fraction of lenders with positive funds, which induces an additional increase in r L equilibrium

Changes in beliefs about bailout policy (period 1) Financial intermediaries: Reduce their leverage, L F, and the total volume of loans supplied to borrowers The cost of funds, r B, to borrowers increases s: s demand for funds in period 1 is totally insensitive to r B A higher r B reduces the expected profit for period 2 Some of the Bs that had expected, as of period 0, to get refinancing in period 1 may not get it equilibrium

Decrease in the risk free policy rate s: raise the fraction of their funds supplied to financial intermediaries (reduces r L ) Financial intermediaries: increase their leverage and supply more funds to borrowers (reduces r B ) s: provided the reduction in r B is sufficiently large, raise their leverage equilibrium

Change in beliefs about the economy Proposition 1. A decrease in either of q A or of q I reduces the expected return on the risky portfolios 2. Provided q A and q I are larger than 0.5 a decrease in either of them raises the variability of the rate of return on the risky portfolios The proposition implies that the qualitative effects of more pessimistic expectations about the economy are identical to the impacts of a decrease in the likelihood of governmental bailouts. equilibrium

Changes in beliefs about idiosyncratic shocks Qualitatively similar to comparative with respect to the perceived probability of bailouts equilibrium

The impact of perceived bailout probability (period 0) Proposition Provided the difference between r L0 and r f0 is smaller than 100 percent a higher perceived bailout probability in period 0 is associated with 1. A higher supply of funds by Ls to Fs and a lower r L0 2. More highly leveraged Fs, a higher supply of funds to Bs and a lower r B0 3. More highly leveraged Bs equilibrium

The impact of risk free rate (period 0) Proposition A lower risk free rate in period 0 is associated with 1. A higher supply of funds by Ls to Fs and a lower r L0 2. More highly leveraged Fs, a higher supply of funds to Bs and a lower r B0 3. More highly leveraged Bs equilibrium

The impact of updating belief on bailout The combined impacts of an optimistic perception about the probability of bailout in period 0 and of its downward adjustment in period 1: A high π 0 leads to an overall expansion of credit in period 0, thus financial intermediaries raise their leverage and so do borrowers This makes both Bs and Fs more susceptible to default when π 0 is revised downward in period 1 The larger the (positive) difference π 0 π 1, the larger leverage buildup in period 0 and the larger the volume of deleveraging and of defaults in period 1 The broad conclusion is that bailout uncertainty raises the amplitude of booms and busts equilibrium

A decrease in the perceived likelihood of a bailout (lower π) leads to deleveraging in the shadow banking system. This is consistent with the dramatic decrease in SIV s, conduits and hedge funds following Lehman s collapse This triggers a general increase in interest rates and an increase in the volume of bankruptcies Intensification of pessimistic expectations about the economy (lower q A and q I ) produces similar qualitative effects equilibrium

Expansionary monetary policy (lower r f ) raises leverage, lowers rates and moderates bankruptcies in the short run But in the longer run expansionary monetary policy, by encouraging the expansion of short term debt, raises the likelihood of a crisis uncertainty raises the amplitude of booms and busts equilibrium

Future research Use model to investigate how shifting bailout policy from financial institutions to borrowers affects leverage, the volume of defaults and other variables An interesting extension of the model will involve allowing financial intermediaries to obtain funds by means of long term (2 periods) as well as short term (one period) loans equilibrium

s financial requirements s financial requirements in period 1 are either zero (when realized return is R A +R I ) or, otherwise, FR = (1+L B )(1 R B1 )+r B1 L B If he survives to period 2 B s terminal wealth is W B = (1+L B ) R B2 FRr B1 equilibrium

s solvency conditions A borrower is solvent in period 1 iff he obtains the refinancing required to maintain the project till period 2: or equivalently where (1+L B )µ B FRr B1 L B µ B +( R B1 1)r B2 K( R B1,µ B ) L c B( R B1 ), K( R B1,µ B ) r B2 (1+r B1 ) µ B r B2 RB1. equilibrium

s solvency conditions A borrower is solvent in period 2 iff his cash flow is larger than the required debt service or equivalently where Default (1+L B ) R B1 FRr B1 W B = A( R B1, R B2 ) K( R B1, R B2 )L B 0, A( R B1, R B2 ) R B2 +r B2 RB1. equilibrium

s optimization An optimal positive level of B s leverage implies K(µ B,µ B ) > 0. Lemma Period s 0 B s optimal level of leverage must be one of the following L B3 = L c B(R A ) ε, ε > 0 and infinitesimally small L B4 = L c B(0) ε Lemma Under some additional conditions on W B for various combinations of R B1 and of R B2 the expected utility of a representative borrower is larger when leverage is at L B3 than when leverage is at L B4. implying that L B3 is B s optimal leverage. This is more likely to be the case, the larger R A and the lower q A (1 q I ). equilibrium

s solvency conditions F is solvent iff W F (L F ) = (1+L F ) r B r L L F = r B +( r B r L )L F 0 Since r B > r L, F is solvent for any L F when r B = r B In the other two cases F is solvent only if L F is sufficiently small: L F 0.5r B r L 0.5r B when r B = 0.5r B L F = 0 when r B = 0 We focus on an equilibrium in which Fs risk aversion as characterized by b is such that L F > 0.5r B r L 0.5r B equilibrium Default