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Measuring Systemic Liquidity Risk and the Cost of Liquidity Insurance

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  • Tiago Severo

Abstract

I construct a systemic liquidity risk index (SLRI) from data on violations of arbitrage relationships across several asset classes between 2004 and 2010. Then I test whether the equity returns of 53 global banks were exposed to this liquidity risk factor. Results show that the level of bank returns is not directly affected by the SLRI, but their volatility increases when liquidity conditions deteriorate. I do not find a strong association between bank size and exposure to the SLRI - measured as the sensitivity of volatility to the index. Surprisingly, exposure to systemic liquidity risk is positively associated with the Net Stable Funding Ratio (NSFR). The link between equity volatility and the SLRI allows me to calculate the cost that would be borne by public authorities for providing liquidity support to the financial sector. I use this information to estimate a liquidity insurance premium that could be paid by individual banks in order to cover for that social cost.

Suggested Citation

  • Tiago Severo, 2012. "Measuring Systemic Liquidity Risk and the Cost of Liquidity Insurance," IMF Working Papers 2012/194, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2012/194
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    Cited by:

    1. Saldías, Martín, 2013. "Systemic risk analysis using forward-looking Distance-to-Default series," Journal of Financial Stability, Elsevier, vol. 9(4), pages 498-517.
    2. Azusa Takeyama & Naoshi Tsuchida, 2015. "The Interaction between Funding Liquidity and Market Liquidity: Evidence from Subprime and European Crises," IMES Discussion Paper Series 15-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
    3. Jean-Loup, Soula, 2017. "Measuring heterogeneity in bank liquidity risk: Who are the winners and losers?," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 302-313.
    4. Legroux, Vincent & Rahmouni-Rousseau, Imène & Szczerbowicz, Urszula & Valla, Natacha, 2022. "Stabilising virtues of central banks: (Re)matching bank liquidity," Journal of Banking & Finance, Elsevier, vol. 134(C).
    5. Akio Hattori & Kentaro Kikuchi & Fuminori Niwa & Yoshihiko Uchida, 2014. "A Survey of Systemic Risk Measures: Methodology and Application to the Japanese Market," IMES Discussion Paper Series 14-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    6. Gianfranco Gianfelice & Giuseppe Marotta & Costanza Torricelli, 2015. "A liquidity risk index as a regulatory tool for systemically important banks? An empirical assessment across two financial crises," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 129-147, January.
    7. Mr. Nicolas R Blancher & Ms. Srobona Mitra & Mrs. Hanan Morsy & Mr. Akira Otani & Tiago Severo & Ms. Laura Valderrama, 2013. "Systemic Risk Monitoring ("SysMo") Toolkit—A User Guide," IMF Working Papers 2013/168, International Monetary Fund.
    8. Gianfranco Gianfelice & Giuseppe Marotta & Costanza Torricelli, 2015. "A liquidity risk index as a regulatory tool for systemically important banks? An empirical assessment across two financial crises," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 129-147, January.
    9. Mr. Stijn Claessens & Ms. Laura E. Kodres, 2014. "The Regulatory Responses to the Global Financial Crisis: Some Uncomfortable Questions," IMF Working Papers 2014/046, International Monetary Fund.

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