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

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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


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Introduction Model

Financial Risk Capacity

Saki Bigio 1 Adrien d’Avernas 2

1University of California, Los Angeles 2Stockholm School of Economics

June 29, 2019

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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?

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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

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Demand and Supply Schedules for Capital Intermediation

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Introduction Model

Demand and Supply Schedules for Capital Intermediation

return on equity

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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

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Demand and Supply Schedules for Capital Intermediation

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Introduction Model

Demand and Supply Schedules for Capital Intermediation

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Introduction Model

Demand and Supply Schedules for Capital Intermediation

return on equity

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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

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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

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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 kt+1 = kt

  • λ(ϕ, φt)dϕ

Once a ϕ-unit of capital is scaled by λ(ϕ, φt), 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)

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C-PRODUCERS K-PRODUCERS

CAPITAL IOUs ASYMETRIC INFORMATION

BANKERS

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C-PRODUCERS K-PRODUCERS

IOUs

BANKERS

CAPITAL

CONSUMPTION GOOD CONSUMPTION GOOD

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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 There is no aggregate risk: 1

0 λ(ϕ, φ)dϕ = λ ∀ φ.

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C-producers

Every period, a fraction (1 − ∆) of producers become c-producers. C-producers consume cc or invest ic in new units of capital at price pd: U c(k, η) = Eφ

  • max

cc≥0,ic≥0

  • log(c) + βU(k′, η′)
  • subject to their budget constraint:

cc + pd ic = ak and the law of motion for capital: k′ = k 1 λ(ϕ, φ)dϕ + ic

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K-producers

Every period, a fraction ∆ of producers become k-producers. K-producers choose threshold quality ϕ, consumption ck, and production ik: U k(k, η) = max

ϕ

  • max

ck≥0,ik

  • log(ck) + βU(k′, η′)

subject to their budget constraint: ck + κik = psϕk and the law of motion for capital: k′ = k 1

ϕ

λ(ϕ, φ)dϕ + ik

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Bankers

Bankers choose intermediation q, equity injection e, and dividend payouts d: U b(n, η) = max

e≥0,1≥d≥0,q≥0

  • d − e + Eφ
  • βU b(n′, η′)
  • 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) = pd(ϕ, φ)Λ(ϕ, φ) − ps(ϕ) and Λ(ϕ, φ) =

ϕ

0 λ(ϕ,φ)dϕ

ϕ

is the average quality of the pool of capital

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State Space

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

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Recursive Competitive Equilibrium

A recursive competitive equilibrium is (i) a set of price functions {ps(η), pd(η, φ)}, (ii) a set of policy functions for c-producers {cc(k, η, φ), ic(kc, η, φ)}, (iii) a set of policy functions for k-producers {ϕ(k, η), ck(k, η, φ), ik(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:

1

The agents’ policy functions (ii), (iii), and (iv) are solutions to their respective problems given prices (i) the law of motion for η (vi)

2

Markets for intermediation of capital, depreciated capital, and consumption goods clear

3

The laws of motion for the state variable η′(η, φ) is consistent with equilibrium functions and demographics.

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Supply Schedule S(ϕ)

The threshold policy is such that: ϕ(ps) = arg max

  • ϕ

  • log
  • κ

1

  • ϕ

λ(ϕ, φ)dϕ + ps ϕ

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Demand Schedule

From the market clearing conditions: pd(ϕ, φ) = βa(1 − ∆) ϕΛ(ϕ, φ)∆ + (1 − β)λ(1 − ∆) Demand schedule D(ϕ): D(Q) = Eφ [d (ϕ(Q), φ)] where ϕ(Q) =

Q ∆K

Intermediation profits Π(ϕ): Π(ϕ) = D(ϕ) − S(ϕ)

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Demand Schedule

From the market clearing conditions: pd(ϕ, φ) = βa(1 − ∆) ϕΛ(ϕ, φ)∆ + (1 − β)λ(1 − ∆) Demand schedule D(ϕ): D(ϕ) = Eφ

  • pd

ϕ, φ

  • substitution

effect

Λ

  • ϕ, φ
  • composition

effect

  • Intermediation profits Π(ϕ):

Π(ϕ) = D(ϕ) − S(ϕ)

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Demand Schedule

From the market clearing conditions: pd(ϕ, φ) = βa(1 − ∆) ϕΛ(ϕ, φ)∆ + (1 − β)λ(1 − ∆) Demand schedule D(ϕ): D(ϕ) = Eφ

  • pd

ϕ, φ

  • substitution

effect

Λ

  • ϕ, φ
  • composition

effect

  • Intermediation profits Π(ϕ):

Π(ϕ) = D(ϕ) − S(ϕ)

return on equity

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Information Sensitivity

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

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Capital Intermediation

The banker intermediation volume is constrained by limited liability: q = n + e − Γ(e) − (1 + τ)d |π(ϕ, φ)| if D(ϕ) − S(ϕ) > 0 The value of inside equity is given by: θ(η) ≡ βEφ

  • ub(η′)
  • + max
  • βEφ
  • ub(η′) π(ϕ, φ)

|π(ϕ, φ)|

  • , 0
  • where U(n, η) = ub(η)n

Bankers pay dividends if θ(η) < 1 − τ Bankers inject equity if θ(η) > 1

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Solution

equity injection financial inaction dividend payout

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Dynamics

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Dynamics

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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