Mesuring Liquidity Mismatch in the Banking Sector

Jennie Bai, Arvind Krishnamurthy and Charles-Henri Weymuller
Additional contact information
Jennie Bai: Georgetown University
Charles-Henri Weymuller: French Treasury

Research Papers from Stanford University, Graduate School of Business

Abstract: This paper expands on Brunnermeier, Gorton and Krishnamurthy (2011) and 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. The aggregate banking sector liquidity worsens from +$5 trillion before the crisis to -$3 trillion in 2008, and reverses back to the pre-crisis level in 2009. We also show how a liquidity stress test can be conducted with the LMI metric, and that such a stress test as an effective macroprudential tool could have revealed the liquidity need of the banking system in the late 2007. In the cross section, we find that banks with more liquidity mismatch have a higher crash probability in the financial crisis and have a higher chance to borrow from the government during the financial crisis. Thus our LMI measure is informative regarding both individual bank liquidity risk as well as the liquidity risk of the entire banking system.

JEL-codes: G21 G28 (search for similar items in EconPapers)
Date: 2015-03
New Economics Papers: this item is included in nep-ban, nep-cfn and nep-rmg
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Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Measuring Liquidity Mismatch in the Banking Sector (2018)
Working Paper: Measuring Liquidity Mismatch in the Banking Sector (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:stabus:3278

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