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MEASURING LIQUIDITY MISMATCH IN THE BANKING SECTOR

机译:衡量银行部门的流动性错配

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This paper implements a liquidity measure, "Liquidity Mismatch Index (LMI)," to gauge the mismatch between the market liquidity of assets and the funding liquidity of liabilities. We construct the LMIs for 2882 bank holding companies during 2002-2014 and investigate the time-series and cross-sectional patterns of banks' liquidity and liquidity risk. Aggregate banking sector liquidity worsens from +$4 trillion before the crisis to -$6 trillion in 2008, and reverses back to the pre-crisis level in 2009. We also show how a macro-prudential liquidity stress test can be conducted with the LMI metric, and that such a stress test could have revealed the fragility of the banking system in early 2007. In the cross section, we find that banks with more ex-ante liquidity mismatch have a higher stock-market crash probability and are more likely to borrow from the government during the financial crisis. Thus the LMI measure is informative regarding both individual bank liquidity risk as well as the liquidity risk of the entire banking system. We compare the LMI measure of liquidity to other measures such as Basel Ill's liquidity coverage ratio and net stable funding ratio, and show that LMI performs better in many dimensions. The outperformance of LMI partially results from the contract-specific time-varying liquidity sensitivity weights which are driven by market prices.
机译:本文实施了一种流动性度量“流动性不匹配指数(LMI)”,以衡量资产的市场流动性与负债的融资流动性之间的不匹配。我们在2002-2014年间为2882家银行控股公司构建了LMI,并研究了银行流动性和流动性风险的时间序列和横断面模式。银行业的总体流动性从危机前的+4万亿美元恶化至2008年的-6万亿美元,并在2009年回到危机前的水平。我们还展示了如何使用LMI指标进行宏观审慎的流动性压力测试,而且这种压力测试可能揭示了2007年初银行系统的脆弱性。在横截面中,我们发现事前流动性不匹配程度更高的银行股票市场崩溃的可能性更高,并且更有可能向其借款。金融危机期间的政府。因此,LMI度量对于单个银行的流动性风险以及整个银行系统的流动性风险都是有益的。我们将LMI的流动性度量与其他度量(例如,巴塞尔Ill的流动性覆盖率和净稳定资金比率)进行了比较,并显示LMI在许多方面表现更好。 LMI的出色表现部分归因于受市场价格驱动的特定于合同的随时间变化的流动性敏感性权重。

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  • 来源
    《Working Paper Series 》 |2016年第22729期| A1-A21-64| 共66页
  • 作者单位

    Stanford Graduate School of Business Stanford University 655 Knight Way Stanford, CA 94305 and NBER;

    Georgetown University 3700 O St. N.W. Washington DC, 20057;

    Sciences Po Paris 27 rue Saint Guillaume 75007 Paris France;

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  • 正文语种 eng
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