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Outline Motivation Planners Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Deposit Insurance without Commitment: Wall St. vs. Main St. Russell Cooper Hubert Kempf European


  1. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Deposit Insurance without Commitment: Wall St. vs. Main St. Russell Cooper ∗ Hubert Kempf ∗∗ ∗ European University Institute and University of Texas at Austin ∗∗ Banque de France and Paris School of Economics May 2011 1 / 30

  2. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Outline Motivation 1 Planner’s Problem 2 Decentralization 3 Systemic Runs and DI: Timing 4 Optimal Taxes Ex Post Taxes Set Ex Ante: Type Independent Taxes Set Ex Ante: Type Dependent Partial Runs 5 Preventing Runs 6 Conclusions 7 2 / 30

  3. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions 3 / 30

  4. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Deposit Insurance in Theory assumed to be credible avoids runs equilibrium Deposit Insurance in Practice Prevalent in various forms around the globe But commitment assumed in theory is less clear UK: Northern Rock (partial coverage and caps) US: redesign of program mid-crisis EMU: how is DI financed? China: 1980s and current regulations bailouts of non-bank intermediaries in many countries Question: in the absence of commitment, will DI (an ex post bailout) be provided? 4 / 30

  5. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Deposit Insurance in Theory assumed to be credible avoids runs equilibrium Deposit Insurance in Practice Prevalent in various forms around the globe But commitment assumed in theory is less clear UK: Northern Rock (partial coverage and caps) US: redesign of program mid-crisis EMU: how is DI financed? China: 1980s and current regulations bailouts of non-bank intermediaries in many countries Question: in the absence of commitment, will DI (an ex post bailout) be provided? 4 / 30

  6. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Deposit Insurance in Theory assumed to be credible avoids runs equilibrium Deposit Insurance in Practice Prevalent in various forms around the globe But commitment assumed in theory is less clear UK: Northern Rock (partial coverage and caps) US: redesign of program mid-crisis EMU: how is DI financed? China: 1980s and current regulations bailouts of non-bank intermediaries in many countries Question: in the absence of commitment, will DI (an ex post bailout) be provided? 4 / 30

  7. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Deposit Insurance in Theory assumed to be credible avoids runs equilibrium Deposit Insurance in Practice Prevalent in various forms around the globe But commitment assumed in theory is less clear UK: Northern Rock (partial coverage and caps) US: redesign of program mid-crisis EMU: how is DI financed? China: 1980s and current regulations bailouts of non-bank intermediaries in many countries Question: in the absence of commitment, will DI (an ex post bailout) be provided? 4 / 30

  8. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Study Using Diamond-Dybvig model heterogeneity in endowments across households Wall St. vs. Main St. tension through claims on entire financial system redistribution through the provision of deposit insurance relative to tax contributions steps of analysis characterize optimal deposit contract (planner and decentralized) ask if there is a expectations driven bank-run (systemic or not) under the optimal allocation if yes, determine if deposit insurance will be provided ex post study this for progressively less flexible taxation systems 5 / 30

  9. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Households t = 0 , 1 , 2. type α 0 endowment of single good: ( α 0 , ¯ α, 0) f ( · ) is pdf, F ( · ) is cdf preferences early consumer: u ( c 0 ) + v ( c E ) late consumer: u ( c 0 ) + v ( c L ) u ( · ) and v ( · ) are strictly increasing and strictly concave π ∈ (0 , 1): fraction early, independent of endowment type 6 / 30

  10. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Technology one period technology: return of 1 two-period technology: return of R > 1 return of ε if liquidated early Table: Technology period 0 period 1 period 2 liquid -1 1 1 illiquid -1 R ε 7 / 30

  11. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Optimal Allocation endowment types are known, tastes are not choose: ( d ( α 0 ) , x E ( α 0 ) , x L ( α 0 )) and φ objective function: � ω ( α 0 )[ u ( α 0 − d ( α 0 ))+ π v (¯ α + x E ( α 0 ))+(1 − π ) v (¯ α + x L ( α 0 ))] f ( α 0 ) d α 0 . (1) resource constraints � x E ( α 0 ) f ( α 0 ) d α 0 φ D = π (2) � x L ( α 0 ) f ( α 0 ) d α 0 (1 − φ ) DR = (1 − π ) (3) welfare weights: ω ( α 0 ) ignore prospect of run 8 / 30

  12. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions FOCs: insurance and redistribution ω ( α 0 ) u ′ ( α 0 − d ( α 0 )) = λ (4) α + x E ( α 0 )) = Rv ′ (¯ α + x L ( α 0 )) v ′ (¯ (5) and α + x E ( α 0 )) = u ′ ( α 0 − d ( α 0 )) v ′ (¯ (6) for all α 0 . 9 / 30

  13. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Runs truth-telling is a Nash Equilibrium: c L ( α 0 ) > c E ( α 0 ) bank run is an equilibrium too: π < 1 is sufficient if ε is near 0 � x E ( α 0 ) f ( α 0 ) d α 0 < � x E ( α 0 ) f ( α 0 ) d α 0 φ D = π not enough resources to meet demands for all households some households served, others are not α + x E ( α 0 )) + (1 − ζ ) v (¯ ζ v (¯ α ) how does the planner respond to a run? 10 / 30

  14. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Runs truth-telling is a Nash Equilibrium: c L ( α 0 ) > c E ( α 0 ) bank run is an equilibrium too: π < 1 is sufficient if ε is near 0 � x E ( α 0 ) f ( α 0 ) d α 0 < � x E ( α 0 ) f ( α 0 ) d α 0 φ D = π not enough resources to meet demands for all households some households served, others are not α + x E ( α 0 )) + (1 − ζ ) v (¯ ζ v (¯ α ) how does the planner respond to a run? 10 / 30

  15. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Figure: Responding to a Run 11 / 30

  16. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Responses to a Run: Haircut Proposition Given a bank run, the planner has an incentive to reallocate consumption relative to the outcome under sequential service. Objective: � � ω ( α 0 )[ π + ν ( α 0 )(1 − π )][ v (¯ x E ( α 0 ))] f ( α 0 ) d α 0 + ω ( α 0 )[(1 − ν ( α 0 ))(1 − π )][ v (¯ x L ( α 0 ))] f ( α 0 ) d α 0 α +˜ α +˜ (7) where ν ( α 0 ) of type α 0 late consumers announce early period 1 resource constraint: � x E ( α 0 ) f ( α 0 ) d α 0 = φ D − S + ǫ L . [ π + ν ( α 0 )(1 − π )]˜ (8) period 2 resource constraint: � x L ( α 0 ) f ( α 0 ) d α 0 = ( φ D − L ) R + S . (1 − ν ( α 0 ))˜ ((1 − π ) (9) S = 0 and L ≥ 0 imply x E ( α 0 )) = R x L ( α 0 )) . v ′ (¯ α + ˜ ǫ v ′ (¯ α + ˜ (10) risk sharing and reallocation across types, dominates sequential service 12 / 30

  17. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Does this intervention prevent a run? Corollary In the allocation characterized in Proposition 1, there is no bank run. c L ( α 0 ) > c E ( α 0 ) illiquid investment remains intact to fund late consumers commitment not needed but not quite deposit insurance 13 / 30

  18. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Optimal Contract banks: max HH utility st feasibility and zero expected profit contract is α 0 specific Household optimization max d u ( α 0 − d ) + π v (¯ α + r 1 ( α 0 ) d ) + (1 − π ) v (¯ α + r 2 ( α 0 ) d ) (11) Bank constraints for all α 0 r 1 ( α 0 ) π d ( α 0 ) + r 2 ( α 0 )(1 − π ) d ( α 0 ) = φ ( α 0 ) d ( α 0 ) + (1 − φ ( α 0 )) d ( α 0 ) R ; (12) and φ ( α 0 ) d ( α 0 ) ≥ r 1 ( α 0 ) d ( α 0 ) π , (1 − φ ( α 0 )) d ( α 0 ) R ≥ r 2 ( α 0 )(1 − π ) d ( α 0 ) . (13) 14 / 30

  19. Outline Motivation Planner’s Problem Decentralization Systemic Runs and DI: Timing Partial Runs Preventing Runs Conclusions Timing sequential service of households in period 1 bank exhausts liquid assets ε is near zero contacts government: will you provide DI? look at expected utilities with and without DI discuss prevention of runs below 15 / 30

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