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Financial Risk Capacity Saki Bigio 1 Adrien dAvernas 2 1 University - PowerPoint PPT Presentation

Introduction Model Financial Risk Capacity Saki Bigio 1 Adrien dAvernas 2 1 University of California, Los Angeles 2 Stockholm School of Economics June 29, 2019 Introduction Model Introduction Many financial crises begin with a collapse of


  1. Introduction Model Financial Risk Capacity Saki Bigio 1 Adrien d’Avernas 2 1 University of California, Los Angeles 2 Stockholm School of Economics June 29, 2019

  2. Introduction Model Introduction Many financial crises begin with a collapse of banks’ net worth Financial sector’s capacity to intermediate capital decreases Economic activity falls as capital intermediation is suboptimal ⊲ Why banks can’t raise equity in times of crisis?

  3. Introduction Model Introduction Many financial crises begin with a collapse of banks’ net worth Financial sector’s capacity to intermediate capital decreases Economic activity falls as capital intermediation is suboptimal ⊲ Why banks can’t raise equity in times of crisis? “Mr. Chairman, when will the crisis be over?” Interviewer, 60 Minutes “When banks start raising capital on their own.” Ben Bernanke

  4. Introduction Model Demand and Supply Schedules for Capital Intermediation

  5. Introduction Model Demand and Supply Schedules for Capital Intermediation return on equity

  6. Introduction Model Why banks can’t raise equity in times of crisis? Financial assets easily reallocated, recapitalization should be fast Other papers: additional frictions to prevent equity injections Banking theory: banks mitigate asymmetric information This paper: adverse selection is exacerbated by low bank net worth ⊲ Intermediation becomes less profitable ⊲ Reduces incentives to recapitalize banks

  7. Introduction Model Demand and Supply Schedules for Capital Intermediation

  8. Introduction Model Demand and Supply Schedules for Capital Intermediation

  9. Introduction Model Demand and Supply Schedules for Capital Intermediation return on equity

  10. Introduction Model Insights Adverse selection is aggravated by low bank net worth Intermediation becomes less profitable with lower intermediation volumes ⊲ Bankers do not want to inject equity during crisis Generates amplification and persistence of banking crises

  11. Introduction Model Environment Discrete-time, infinite horizon Consumption good and capital Unit mass of producers: produce consumption goods or capital ⊲ C -producers technology: y = ak ⊲ K -producers technology: k = y/κ Need for exchange ⊲ K -producers: lack consumption input for building capital ⊲ C -producers: lack investment opportunities to accumulate capital Unit mass of bankers intermediate capital ⊲ Capital intermediation is risky ⊲ Limited liability constraint: need wealth to sustain potential losses

  12. Introduction Model Heterogeneous Capital Quality Capital stock divisible into continuum Each unit identified with quality ϕ ∈ [0 , 1] λ ( ϕ, φ ) is the depreciation of a ϕ -unit of capital given aggregate shock φ � k t +1 = k t λ ( ϕ, φ t ) dϕ Once a ϕ -unit of capital is scaled by λ ( ϕ, φ t ) , it becomes homogeneous Asymmetric information: buyer of capital do not know its quality ϕ Role for intermediation by banks ⊲ Big banks have technology to pool qualities ⊲ Better risk absorption capacity (risk neutral)

  13. Introduction Model CAPITAL BANKERS ASYMETRIC INFORMATION IOUs C-PRODUCERS K-PRODUCERS

  14. Introduction Model CAPITAL IOUs BANKERS C-PRODUCERS K-PRODUCERS CONSUMPTION CONSUMPTION GOOD GOOD

  15. Introduction Model Assumption 1 The depreciation function is such that: λ (0 , φ ) = 0 . Assumption 2 The depreciation function λ ( ϕ, φ ) is monotone and increasing in ϕ . ⊲ K -producers sell every units of capital below a quality threshold ϕ Assumption 3 � 1 There is no aggregate risk: 0 λ ( ϕ, φ ) dϕ = λ ∀ φ .

  16. Introduction Model

  17. Introduction Model

  18. Introduction Model

  19. Introduction Model C -producers Every period, a fraction (1 − ∆) of producers become c -producers. C -producers consume c c or invest i c in new units of capital at price p d : � � �� U c ( k, η ) = E φ log( c ) + βU ( k ′ , η ′ ) max c c ≥ 0 ,i c ≥ 0 subject to their budget constraint: c c + p d i c = ak and the law of motion for capital: � 1 k ′ = k λ ( ϕ, φ ) dϕ + i c 0

  20. Introduction Model K -producers Every period, a fraction ∆ of producers become k -producers. K -producers choose threshold quality ϕ , consumption c k , and production i k : � � � �� � U k ( k, η ) = max log( c k ) + βU ( k ′ , η ′ ) max E φ ϕ c k ≥ 0 ,i k subject to their budget constraint: c k + κi k = p s ϕk and the law of motion for capital: � 1 k ′ = k λ ( ϕ, φ ) dϕ + i k ϕ

  21. Introduction Model Bankers Bankers choose intermediation q , equity injection e , and dividend payouts d : � � �� U b ( n, η ) = βU b ( n ′ , η ′ ) max d − e + E φ e ≥ 0 , 1 ≥ d ≥ 0 ,q ≥ 0 subject to the law of motion for wealth: n ′ = n + e − Γ( e ) − (1 + τ ) d + qπ ( ϕ, φ ) and the limited liability constraint: n ′ ≥ 0 ∀ φ where π ( ϕ, φ ) = p d ( ϕ, φ )Λ( ϕ, φ ) − p s ( ϕ ) � ϕ 0 λ ( ϕ,φ ) dϕ and Λ( ϕ, φ ) = is the average quality of the pool of capital ϕ

  22. Introduction Model State Space There are two aggregate quantities of interest: the aggregate capital stock, � 1 K = k ( z ) dz, 0 and the equity of the entire financial system, � 1 N = n ( j ) dj 0 The aggregate state is summarized by { η, φ } : η ≡ N/K

  23. Introduction Model Recursive Competitive Equilibrium A recursive competitive equilibrium is (i) a set of price functions { p s ( η ) , p d ( η, φ ) } , (ii) a set of policy functions for c -producers { c c ( k, η, φ ) , i c ( k c , η, φ ) } , (iii) a set of policy functions for k -producers { ϕ ( k, η ) , c k ( k, η, φ ) , i k ( k, η, φ ) } , (iv) a set of policy functions for bankers { e ( n, η ) , d ( n, η ) , q ( n, η ) } , (v) a set of value functions { U c ( k, η ) , U k ( k, η ) , U b ( n, η ) } , and (vi) a law of motion for the aggregate state η ′ ( η, φ ) such that: The agents’ policy functions (ii), (iii), and (iv) are solutions to their 1 respective problems given prices (i) the law of motion for η (vi) Markets for intermediation of capital, depreciated capital, and 2 consumption goods clear The laws of motion for the state variable η ′ ( η, φ ) is consistent with 3 equilibrium functions and demographics.

  24. Introduction Model Supply Schedule S ( ϕ ) The threshold policy is such that: � � �� � 1 λ ( ϕ, φ ) dϕ + p s � ϕ ( p s ) = arg max E φ log κ ϕ ϕ � ϕ �

  25. Introduction Model Demand Schedule From the market clearing conditions: βa (1 − ∆) p d ( ϕ, φ ) = ϕ Λ( ϕ, φ )∆ + (1 − β ) λ (1 − ∆) Demand schedule D ( ϕ ) : D ( Q ) = E φ [ d ( ϕ ( Q ) , φ )] Q where ϕ ( Q ) = ∆ K Intermediation profits Π( ϕ ) : Π( ϕ ) = D ( ϕ ) − S ( ϕ )

  26. Introduction Model Demand Schedule From the market clearing conditions: βa (1 − ∆) p d ( ϕ, φ ) = ϕ Λ( ϕ, φ )∆ + (1 − β ) λ (1 − ∆) Demand schedule D ( ϕ ) : � � p d � � � � D ( ϕ ) = E φ ϕ, φ Λ ϕ, φ � �� � � �� � substitution composition effect effect Intermediation profits Π( ϕ ) : Π( ϕ ) = D ( ϕ ) − S ( ϕ )

  27. Introduction Model Demand Schedule From the market clearing conditions: βa (1 − ∆) p d ( ϕ, φ ) = ϕ Λ( ϕ, φ )∆ + (1 − β ) λ (1 − ∆) return on equity Demand schedule D ( ϕ ) : � � p d � � � � D ( ϕ ) = E φ ϕ, φ Λ ϕ, φ � �� � � �� � substitution composition effect effect Intermediation profits Π( ϕ ) : Π( ϕ ) = D ( ϕ ) − S ( ϕ )

  28. Introduction Model Information Sensitivity Given φ , the intermediation revenues are increasing in ϕ , ∂p d ( ϕ, φ )Λ( ϕ, φ ) > 0 , ∂ϕ if and only if the following condition holds: [Λ( ϕ, φ )] 2 ∆ λ ( ϕ, φ ) − Λ( ϕ, φ ) > . ϕ (1 − β ) λ (1 − ∆) Information asymmetries need to weaken sufficiently fast as more capital is intermediated.

  29. Introduction Model Capital Intermediation The banker intermediation volume is constrained by limited liability: q = n + e − Γ( e ) − (1 + τ ) d if D ( ϕ ) − S ( ϕ ) > 0 | π ( ϕ, φ ) | The value of inside equity is given by: � � � � � � u b ( η ′ ) π ( ϕ, φ ) u b ( η ′ ) θ ( η ) ≡ β E φ + max β E φ , 0 | π ( ϕ, φ ) | where U ( n, η ) = u b ( η ) n Bankers pay dividends if θ ( η ) < 1 − τ Bankers inject equity if θ ( η ) > 1

  30. Introduction Model Solution equity injection financial inaction dividend payout

  31. Introduction Model Dynamics

  32. Introduction Model Dynamics

  33. Introduction Model Conclusion Adverse selection generates non-monotone expected profits No incentives to recapitalize when intermediation volumes are low Prolonged recession following large losses in bankers’ net worth

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