The Dark Side of Bank Wholesale Funding



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Transcription:

The Dark Side of Bank Wholesale Funding Rocco Huang Philadelphia Fed Lev Ratnovski Bank of England May 08

Introduction

Assets Liabilities Bank Funding Wholesale Deposits Retail deposits Insured, passive Effectively long-term Limited supply Unused investment opportunities Capital Short-term term wholesale funds Rolled over frequently Other fin institutions, non-fin corps, state/local authorities, foreign entities, money market mutual funds... Repo s, Interbank deposits, Fed Funds, large denomination CDs, commercial papers... 3

Assets Liabilities Short-Term Wholesale Funds Wholesale Deposits Bright side Fully exploit investment opportunities Market discipline (Calomiris, 1999) Reduced liquidity risks (Goodfriend & King, 1998) Capital Dark side Aggressive lending + compromised credit quality Limited market discipline Sudden stops + inefficient liquidations Reconcile? 4

Wholesale funds in past bank failures Act on publicly-available information Run and escape unscathed Continental Illinois Northern Rock Bear Stearns 5

Wholesale funds in past bank failures 1. Continental Illinois Exposure to energy sector and Penn Square Wholesale depositors withdrew The Fed kept lending to prop up the bank Wholesale depositors did not experience loss or delay Retail depositors (and ultimately FDIC) held the bag 2. Northern Rock 3. Bear Stearns 6

Wholesale funds in past bank failures 1. Continental Illinois 2. Northern Rock U.S. subprime mortgage crisis Wholesale financiers refuse to renew funding After a while, NR had to turn to BoE for assistance Did not stop exit by wholesale funds Then retail deposit run finally started Short-term wholesale investors did not lose a penny 3. Bear Stearns 7

Wholesale funds in past bank failures 1. Continental Illinois 2. Northern Rock 3. Bear Stearns Worries about CDO market and Bear Stearns solvency Secured lenders (~$32 billion) refused to continue funding Liquidity pool (~18 billion) sold off to fund their exits Long-term securities (~$80 billion) and customer funds (net ~ $60 billion) bailed out by JP Morgan and the Fed Note: customer funds are insured by SIPC up to $500,000 8

Wholesale funds in past bank failures 1. Continental Illinois 2. Northern Rock 3. Bear Stearns Act on publicly-available information Cheap but noisy Both correct and incorrect liquidations Run and escape unscathed Effective seniority due to first-come first-served Central bank support also helps finance exit 9

This paper Bright side vs. Dark side of wholesale funding Informed vs. Uninformed Incentives to become informed Incentives to liquidate when uninformed Contracting: optimal seniority of short-term wholesale funds Incentives of banks to use short-term term wholesale funds 10

Approach Benchmark: Calomiris and Kahn (1991) Sophisticated funding beneficial: can monitor & liquidate bad Seniority maximizes monitoring (allows to internalize benefits) Bright side Add: A costless noisy (public) signal on bank quality Lower incentives to monitor Excess incentives to liquidate: based on too noisy information Particularly when senior Dark side 11

The Model

Setup 0 1 2 Investment Refinancing (possible liquidation) Payoff A bank with a long-term investment project t=0: investment size 1 t=1: liq value L small: L < 1 and L<pW t=2: X w.p. p or 0 w.p. 1 p px > 1 Funding Deposits: D < 1 (long-term: stay until t=2) Wholesale funds: W = 1 D (short-term: roll over at t=1) Seniority in liquidation s [0;1]: wholesale receive sl 13

Setup 0 1 2 Investment Refinancing (possible liquidation) Payoff 1. Monitoring Information of wholesale financiers Invest C(m), correct signal w.p. m, no signal otherwise good : roll over, bad : liquidate, no signal: roll over Calomiris-Kahn (1991) benchmark 1. Objective: maximize m 2. Solution: set s = 1 14

Setup 0 1 2 Investment Refinancing (possible liquidation) Payoff 1. Monitoring Information of wholesale financiers Invest C(m), correct signal w.p. m, no signal otherwise good : roll over, bad : liquidate, no signal: roll over 2. Costless noisy signal When monitoring produced no signal Provides some information 15

Costless Noisy Signal Precision θ [0;1] Publicly available information e.g., Sector-wide or Market-wide news Relevance: can depend on asset types Mortgages: relevant information from MBS prices Small business loans: no similarly informative signal Correct or Incorrect Energy prices and Continental Illinois US subprime mortgages and Northern Rock 16

Liquidations based on a Noisy Signal Without a noisy signal: Uninformed liquidations never optimal p WR > sl A noisy Bad signal: wholesale financiers may choose to liquidate when: (p-θp) WR < sl May be socially suboptimal (signal precise but not so precise) (p-θp) X > L What makes liquidations more appealing? Higher seniority! 17

Effects of Seniority Benchmark: No noisy signal Higher liquidation payoff sl Higher incentives to monitor m* achieved in s =1 m m* With noisy signal Also: Higher incentives to liquidate More liquidations less monitoring m maximized for s < 1 m m* 1 s s* 1 s No noisy liquidations Liquidations after a noisy negative signal 18

Optimal Seniority for S-T S T Wholesale Funds s* (1 θ ) pwr = (1 θ) pwr < sl L lower for Risk of Noisy Liquidations higher for θ (+) D (+) W ( ) R ( ) L (+) Opaque & illiquid assets: High seniority encourages production of information (CK) Liquid assets & relevant public information (e.g. mortgage banks with MBS): Lower seniority encourages private information production and avoids inefficient liquidations Consistent with recent events 19

Summary

Main Results A small change to Calomiris and Kahn (1991) Costless but noisy public signal New predictions on optimal seniority High seniority of short-term term wholesale funds may reduce monitoring, encourage inefficient liquidations Optimal seniority depends on: Funding structure (e.g. share of deposits / long-term funds) Precision of public signals on project quality (depends on assets) Liquidation value of assets (liquidity buffers / tradeable) Interest rates paid to wholesale financiers Dark side of wholesale funding consistent with recent events 21

Incentives of Banks Main analysis Exogenous funding structure Socially optimal seniority 1. Banks choose funding structure 2. Seniority determined by: Sequential service, collateralization, suspension clauses Official resolution procedures Can banks choices differ from socially optimal? Yes, when long-term funding is insured or CB bailout likely Too high seniority for wholesale funds (cheaper!) Use of uninformed wholesale funds What can regulators do? What can regulators do? Reduce seniority of wholesale funds (?) Restrict use of wholesale funds by banks(?) 22

Thank you!! 23