Optimal control of interbank contagion under complete information

IF 1.3 Q2 STATISTICS & PROBABILITY
Andreea Minca, A. Sulem
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引用次数: 19

Abstract

Abstract We study a preferred equity infusion government program set to mitigate interbank contagion. Financial institutions are prone to insolvency risk channeled through the network of interbank debt and to funding liquidity risk. The government seeks to maximize, under budget constraints, the total net worth of the financial system or, equivalently, to minimize the dead-weight losses induced by bank runs. The government is assumed to have complete information on interbank debt. The problem of quantifying the optimal amount of infusions can be expressed as a convex combinatorial optimization problem, tractable when the set of banks eligible for intervention (core banks) is sufficiently, yet realistically, small. We find that no bank has an incentive to withdraw from the program, when the preferred dividend rate paid to the government is equal to the government's outside return on the intervention budget. On the other hand, it may be optimal for the government to make infusions in a strict subset of core banks.
完全信息下银行间传染的最优控制
摘要本文研究了一项旨在缓解银行间传染的政府优先股注入计划。金融机构容易面临通过银行间债务网络传导的资不抵债风险和资金流动性风险。在预算限制下,政府寻求使金融体系的总净值最大化,或者,同样地,最小化银行挤兑造成的无谓损失。政府被认为拥有银行间债务的完整信息。量化最优注资量的问题可以表示为一个凸组合优化问题,当有资格进行干预的银行(核心银行)足够小时,这个问题就可以处理。我们发现,当支付给政府的优先股息率等于政府干预预算的外部回报时,没有银行有退出计划的动机。另一方面,政府对核心银行进行严格的注资可能是最优的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistics & Risk Modeling
Statistics & Risk Modeling STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
6.70%
发文量
6
期刊介绍: Statistics & Risk Modeling (STRM) aims at covering modern methods of statistics and probabilistic modeling, and their applications to risk management in finance, insurance and related areas. The journal also welcomes articles related to nonparametric statistical methods and stochastic processes. Papers on innovative applications of statistical modeling and inference in risk management are also encouraged. Topics Statistical analysis for models in finance and insurance Credit-, market- and operational risk models Models for systemic risk Risk management Nonparametric statistical inference Statistical analysis of stochastic processes Stochastics in finance and insurance Decision making under uncertainty.
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