Tracking Variation in Systemic Risk at Us Banks During 1974-2013

Armen Hovakimian, E. Kane, L. Laeven
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引用次数: 46

Abstract

This paper proposes a theoretically based and easy-to-implement way to measure the systemic risk of financial institutions using publicly available accounting and stock market data. The measure models the credit enhancement taxpayers provide to individual banks in the Merton tradition (1974) as a combination put option for the deep tail of bank losses and a knock-in stop-loss call on bank assets. This model expresses the value of taxpayer loss exposure from a string of defaults as the value of this combination option written on the portfolio of industry assets. The exercise price of the call is the face value of the debt of the entire sector. We conceive of an individual bank’s systemic risk as its contribution to the value of this sector-wide option on the financial safety net. To the extent that authorities are slow to see bank losses or reluctant to exercise the call, the government itself becomes a secondary source of systemic risk. We apply our model to quarterly data over the period 1974-2013. The model indicates that systemic risk reached unprecedented highs during the financial crisis years 2008-2009, and that bank size, leverage, and asset risk are key drivers of systemic risk.
1974-2013年美国银行系统性风险变化追踪
本文提出了一种基于理论且易于实施的方法,利用公开的会计和股票市场数据来衡量金融机构的系统性风险。该措施模拟了纳税人按照默顿传统(1974年)向个别银行提供的信用增强,即针对银行亏损深尾的看跌期权和对银行资产的连锁止损看涨期权的组合。该模型将一系列违约导致的纳税人损失敞口的价值表示为写在行业资产组合上的这种组合期权的价值。看涨期权的行权价格是整个行业债务的面值。我们认为,单个银行的系统性风险是其对金融安全网上全行业选择权价值的贡献。在某种程度上,当局对银行亏损反应迟缓或不愿行使赎回权,政府本身就成了系统性风险的次要来源。我们将模型应用于1974-2013年期间的季度数据。该模型表明,在2008-2009年金融危机期间,系统性风险达到了前所未有的高度,银行规模、杠杆率和资产风险是系统性风险的关键驱动因素。
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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