金融网络中资产清算策略对杠杆要求和甩卖对金融传染的影响

IF 1.3 Q2 STATISTICS & PROBABILITY Statistics & Risk Modeling Pub Date : 2015-07-07 DOI:10.1515/strm-2015-0030
Zachary Feinstein, Fatena El-Masri
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引用次数: 20

摘要

摘要本文提供了一个模型框架,用于对由于无法满足杠杆要求而导致非流动性资产清算的多重非流动性资产金融体系进行建模。这扩展了[6]的网络模型,该模型将单个资产与廉价出售和资本充足率结合在一起。这也扩展了[14]的网络模型,该模型将多个非流动性资产与低价出售和无杠杆率结合在一起。我们证明存在均衡清算支付和清算价格的已知清算策略时,杠杆要求是必需的。我们还证明了具有相应清算支付和清算价格的均衡清算策略存在的充分条件。最后,我们将网络模型与美国50家银行2007-2014年的资产和负债数据进行校准,以得出系统性风险作为杠杆要求函数的结论。
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The effects of leverage requirements and fire sales on financial contagion via asset liquidation strategies in financial networks
Abstract This paper provides a framework for modeling the financial system with multiple illiquid assets when liquidation of illiquid assets is caused by failure to meet a leverage requirement. This extends the network model of [6] which incorporates a single asset with fire sales and capital adequacy ratio. This also extends the network model of [14] which incorporates multiple illiquid assets with fire sales and no leverage ratios. We prove existence of equilibrium clearing payments and liquidation prices for a known liquidation strategy when leverage requirements are required. We also prove sufficient conditions for the existence of an equilibrium liquidation strategy with corresponding clearing payments and liquidation prices. Finally, we calibrate network models to asset and liability data for 50 banks in the United States from 2007–2014 in order to draw conclusions on systemic risk as a function of leverage requirements.
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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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