risk incentives in an interbank network - banque de france · bank 1 (z) bank 2 (0) bank 3 (z)...
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Introduction Example General Framework Numerical Example Policy Conclusion
Risk Incentives in an Interbank Network
Miguel Faria-e-CastroNew York University
Endogenous Financial Networks and Equilibrium DynamicsBanque de France
July 10, 2015
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Introduction Example General Framework Numerical Example Policy Conclusion
Financial Crises and Bank Herding
I Non-anonymous markets
I Limited liability
I Risk shifting
Incentives to
I Correlate failures
I Endogenous intermediation?
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Introduction Example General Framework Numerical Example Policy Conclusion
This Model
Main features:
I Non-anonymous market for debt contracts
I Liquidity shocks motivate risky debt contracts
I Direct (counterparty) and indirect (systemic) risk
I Endogenous network formation
I Arbitrary number of heterogeneous banks
Main results:
I “Risk-based” intermediation
I Bank herding, risk-shifting behavior
I Network structure amplifies risk
I Policy: caps on lending, LOLR, creditor bailouts
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Introduction Example General Framework Numerical Example Policy Conclusion
Literature
I OTC Financial Markets: Duffie et al. (2005), Lagos andRocheteau (2009), Afonso and Lagos (2012), Acharya andBisin (2014).
I Financial Networks: Allen and Gale (2000), Freixas et al.(2000), Atkeson et al. (2013), Fique and Page (2013),Acemoglu et al. (2015).
I Strategic Formation of Financial Networks: Cohen-Coleet al. (2011), Zawadowski (2013), Farboodi (2014), Glodeand Opp (2014).
I Bank Herding: Acharya (2009), Acharya and Yorulmazer(2008).
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Introduction Example General Framework Numerical Example Policy Conclusion
Example
I 2 periods, 3 banks
I Banks own long-term asset a, senior claims v
bad : a = v − ε < v
good : a = v + ε > v
I Payoffs are non-pledgeable ⇒ debt contracts
I Banks endowed with net liquidity position z
I Liquidity technology at rate r , or borrow from bank withliquidity surplus
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Introduction Example General Framework Numerical Example Policy Conclusion
Example continuedAssume the following payoff structure
State Bank 1 Bank 2 Bank 3
s1 v − ε v + ε v + εs23 v + ε v − ε v − εs3 v + ε v + ε v − ε
I 1 and 3 are negatively correlated
I 2 is (partially) correlated with both
Endowments:
z1 = −zz2 = 0
z3 = z
Default is socially costly, with zero recovery rate.6 / 23
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Introduction Example General Framework Numerical Example Policy Conclusion
Autarky
Bank 1(−z)
Bank 2(0)
Bank 3(z)
I Bank 1 borrows from outside at rate r
I Bank 3 willing to offer a cheaper contract
I Gains from trade, avoid costly liquidity technology
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Introduction Example General Framework Numerical Example Policy Conclusion
3 lends to 1
Bank 1(−z)
Bank 2(0)
Bank 3(z)
L3→1
I Dominates autarky as long as r > 1
I Socially optimal
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Introduction Example General Framework Numerical Example Policy Conclusion
May not be stable...
Bank 1(−z)
Bank 2(0)
Bank 3(z)
L3→2L2→1
Under certain conditions,I Bank 2 willing to lend to 1 at a lower rateI Bank 3 willing to lend to 2 at a lower rateI Pairwise stable, but inefficient equilibriumI Bank 3 now defaults in state s23!
Limited Liability + Non-Anonymous Market = Systemic Risk9 / 23
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Introduction Example General Framework Numerical Example Policy Conclusion
General Model - Environment
I Two dates t = 0, 1
I One good, cash (liquidity)
I N islands, each populated by a representative bank anddepositors
I Banks indexed by long-term assets and initial deposits (ai , di )
I t = 0: liquidity shock zi , banks may engage in debt contracts.
I t = 1: Illiquid long-term assets pay Ri ∼ g(R), contracts aresettled
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Introduction Example General Framework Numerical Example Policy Conclusion
Interbank Lending
I Banks lend to each other to clear liquidity positionsI Lending from bank i to bank j
`ij
I Interbank lending forms a credit network
L =
0 `12 . . . `1N
`21 0 . . . `2N...
.... . .
...`N1 `N2 . . . 0
This network is
I directed`ij 6= `ji
I weighted`ij ∈ R+
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Introduction Example General Framework Numerical Example Policy Conclusion
Flow of Funds and Payoffs
Banks must clear liquidity positions at t = 0∑j 6=i
`ij + ci︸ ︷︷ ︸outflows
=∑j 6=i
`ji + vi + zi︸ ︷︷ ︸inflows
Profits at t = 1
π+i (Ri ,θ) =
Riai + ci +∑j 6=i
θj rij`ij −∑j 6=i
rji`ji − f (vi )− di
+
wheref ′ > 0 f ′′ > 0
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Introduction Example General Framework Numerical Example Policy Conclusion
Networked Markets
I Bank i borrows from a competitive market i
I Other banks can participate to lend to i
Bank 1Market 1, rB1
Bank 2Market 2, rB2
Bank 3Market 3, rB3
`12
`32
`23
`13`21
`31
I One interest rate in each market rBiI Identity of the lender is irrelevant (converse not true!)
Bi ≡∑j 6=i
`ji
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Introduction Example General Framework Numerical Example Policy Conclusion
Equilibrium at t = 1
At t = 1, banks have chosen their portfolios L, c.
Limited liability ⇒ bank unable to repay debts for low values of Ri
1. Available assets: Riai + ci − f (vi ) + repayments
2. Senior debt: di
3. Junior debt: rBi Bi
Costs of Default: Fraction δ of total assets is recovered, δRiai
I π+i (Ri ,θ) depends on counterparty defaults and repayments
I ...which in turn may depend on πi !
I Fixed point problem as in Eisenberg and Noe (2001), withcosts of default.
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Introduction Example General Framework Numerical Example Policy Conclusion
Banks’ Problem at t = 0
Take θ(R; L, c) and prices as given.
maxci ,vi ,{`ij}j 6=i ,Bi
ER[π+i (R,θ)]
subject to
FF :∑j 6=i
`ij + ci = Bi + vi + zi
Optimality implies rBi = f ′(vi ) ≡ ri ,
ci : 1 ≤ ri
`ij : E[θj |πi ≥ 0]rj ≤ ri , ∀j 6= i
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Introduction Example General Framework Numerical Example Policy Conclusion
EquilibriumA Competitive Equilibrium consists of a collection of portfolioallocations L ∈ RN×N , c ∈ RN ; prices r ∈ RN ; and a repaymentrule θ(R; L, c) ∈ RN such that:
1. Given expected repayments E[θ(R; L, c)] and prices r,portfolio allocations L, c solve the bank’s problem for eachrepresentative bank i ∈ N.
2. Prices are such that all N interbank credit markets clear
Bi =∑j 6=i
`ji , ∀i ∈ N
and defined as ri = f ′(vi ) whenever Bi = 0.
3. For each joint realization of long-term asset payoffsR ∼ G (R), θ(R; L, c) constitutes a repayment equilibrium.
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Introduction Example General Framework Numerical Example Policy Conclusion
Results
I Perceived Repayments
θ̃i→j ≡ E[θj |πi ≥ 0]
I Interest Rate Dispersion: if i → j
rj ≥ rj θ̃i→j = ri ≥ ri
I Herding Behavior: if i → j
rj θ̃i→j = ri
I Risk-Based Intermediation: i → j , j → k, but i 9 k if
θ̃j→k × θ̃i→j ≥ θ̃i→k17 / 23
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Introduction Example General Framework Numerical Example Policy Conclusion
Six Bank Example
Parameter Value
N 6ai 1di 0.8
f (v)(ψ1 + 1
2ψ2v)· v
ψ1 1ψ2 5δ 0.7
Distributions
Gi ≡ U [0.8, 1.2]
zi ∼ U [−0.15, 0.15],N∑i=1
zi = 0
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Introduction Example General Framework Numerical Example Policy Conclusion
Six Bank Example
Bank si ri Pr[default] Risk Shifting Risk Sharing
1 0.05 2.46% 2.40% 2.40% −2.40%2 0.15 0.00% 0.00% 0.00% 0.00%3 −0.10 34.23% 25.50% 2.05% 74.50%4 0.01 2.14% 2.10% 2.10% −2.10%5 −0.05 11.54% 10.35% −0.85% 19.20%6 −0.06 17.72% 15.05% −0.55% 37.10%
1
2
3
4
5
6
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Introduction Example General Framework Numerical Example Policy Conclusion
Policy - Cap on Lending∑i 6=j
`ij ≤ f (ai , di , zi ;φ)
Equivalent to a leverage constraint
0.02 0.04 0.06 0.08 0.1 0.12
0.15
0.2
0.25
Volume
φ0.02 0.04 0.06 0.08 0.1 0.12
29
30
31
32
33
34
No. Connect ions
φ
0.02 0.04 0.06 0.08 0.1 0.12
9.84
9.85
9.86
9.87
Welfare
φ0.02 0.04 0.06 0.08 0.1 0.12
0
1
2
3
4
5x 10
−3
φ
Risk Measures
Sharing
Shifting
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Introduction Example General Framework Numerical Example Policy Conclusion
Policy - Discount Window Lending
I Captures riskier borrowersI Reduces both direct and indirect risks in the systemI May destroy risk-sharing links and induce formation of
risk-shifting ones
1 1.1 1.2 1.3 1.4 1.5
0.05
0.1
0.15
0.2
0.25Volume
r̄
1 1.1 1.2 1.3 1.4 1.5
20
22
24
26
28
30
32
No. Connect ions
r̄
1 1.1 1.2 1.3 1.4 1.59.9
10
10.1
10.2
10.3
Welfare
r̄
1 1.1 1.2 1.3 1.4 1.50
0.005
0.01
0.015
0.02
0.025
0.03
r̄
Risk Measures
Sharing
Shifting
1 1.1 1.2 1.3 1.4 1.5
0.05
0.1
0.15
0.2
0.25
0.3
0.35
Discount Borrowing
r̄
1 1.1 1.2 1.3 1.4 1.5
0.01
0.02
0.03
0.04
0.05
Expected Costs
r̄ 21 / 23
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Introduction Example General Framework Numerical Example Policy Conclusion
Policy - Creditor Bailouts
I Expectation of bailout lowers rates and curbs risk shifting
I No time consistency issues
I Systemic insurance, as in Dell’Ariccia and Ratnovski (2013)
Policy E[W ] E[r ] E[vol ] E[costs]
No Policy 10.0619 1.68% 0.357 0Unexpected 10.0721 1.68% 0.357 0.0347
Expected 10.1090 0.00% 0.487 0.0334
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Introduction Example General Framework Numerical Example Policy Conclusion
Conclusion
I Key ingredients:
1. Idiosyncratic shocks2. Limited liability3. Non-anonymous markets
I Results:
1. Risk-based intermediation2. Bank herding3. Endogenous amplification of risk4. Role for policy
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