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Measuring systemic risk-adjusted liquidity (SRL)—A model approach

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  • Jobst, Andreas A.

Abstract

Little progress has been made so far in addressing—in a comprehensive way—the negative externalities caused by excessive maturity transformation and the implications for effective liquidity regulation of banks. The SRL model combines option pricing theory with market information and balance sheet data to generate probabilistic measure of systemic liquidity risk. It enhances price-based liquidity regulation by linking a bank’s maturity mismatch impacting the stability of its funding with those characteristics of other banks, subject to individual changes in risk profiles and common changes in market conditions impacting funding and market liquidity risk. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to expected losses from system-wide liquidity shortfalls and (ii) to price insurance premia that provide incentives for banks to internalize the social cost of their individual funding decisions.

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  • Jobst, Andreas A., 2014. "Measuring systemic risk-adjusted liquidity (SRL)—A model approach," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 270-287.
    • Handle: RePEc:eee:jbfina:v:45:y:2014:i:c:p:270-287
    DOI: 10.1016/j.jbankfin.2014.04.013
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    Cited by:

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    4. Jeanne Gobat & Mamoru Yanase & Joseph Maloney, 2014. "The Net Stable Funding Ratio: Impact and Issues for Consideration," IMF Working Papers 2014/106, International Monetary Fund.
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    8. Wan-Chien Chiu & Juan Ignacio Pe~na & Chih-Wei Wang, 2022. "Measuring Systemic Risk: Common Factor Exposures and Tail Dependence Effects," Papers 2202.02276, arXiv.org.
    9. Schmitt, Matthias & Schmaltz, Christian, 2016. "Potential implications of a NSFR on German banks' credit supply and profitability," Discussion Papers 37/2016, Deutsche Bundesbank.
    10. Jan Willem Van den End, 2016. "A macroprudential approach to address liquidity risk with the loan-to-deposit ratio," The European Journal of Finance, Taylor & Francis Journals, vol. 22(3), pages 237-253, February.
    11. Cipollini, Fabrizio & Giannozzi, Alessandro & Menchetti, Fiammetta & Roggi, Oliviero, 2020. "The beauty contest between systemic and systematic risk measures: Assessing the empirical performance," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 316-332.
    12. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    13. Andreas Jobst & Mr. Dale F Gray, 2013. "Systemic Contingent Claims Analysis: Estimating Market-Implied Systemic Risk," IMF Working Papers 2013/054, International Monetary Fund.
    14. O. de Bandt & J.-C. Héam & C. Labonne & S. Tavolaro, 2013. "Measuring Systemic Risk in a Post-Crisis World," Débats économiques et financiers 6, Banque de France.
    15. Yaoyao Fan & Showyi Yuxiang Jiang & Kim Cuong Ly, 2018. "Do banks adjust their liquidity to cope with environmental variation? A study of bank deregulation," Working Papers 2018-31, Swansea University, School of Management.
    16. Uribe, Jorge M. & Chuliá, Helena & Guillén, Montserrat, 2017. "Uncertainty, systemic shocks and the global banking sector: Has the crisis modified their relationship?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 52-68.
    17. Anne-Marie Rieu-Foucault, 2017. "Point sur la fourniture de liquidié publique," EconomiX Working Papers 2017-27, University of Paris Nanterre, EconomiX.
    18. Bellavite Pellegrini, Carlo & Cincinelli, Peter & Meoli, Michele & Urga, Giovanni, 2022. "The role of shadow banking in systemic risk in the European financial system," Journal of Banking & Finance, Elsevier, vol. 138(C).
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    20. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    21. M. Zulkifli Salim & Kevin Daly, 2021. "Modelling Systemically Important Banks vis-à-vis the Basel Prudential Guidelines," JRFM, MDPI, vol. 14(7), pages 1-20, June.
    22. Jobst, Andreas A., 2013. "Multivariate dependence of implied volatilities from equity options as measure of systemic risk," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 112-129.

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    More about this item

    Keywords

    Systemic risk; Liquidity risk; Net Stable Funding Ratio (NSFR); Extreme value theory; Financial contagion; Macroprudential policy; Liquidity regulation;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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