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Measuring Systemic Risk-Adjusted Liquidity (SRL): A Model Approach

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  • Andreas Jobst
Abstract
Little progress has been made so far in addressing—in a comprehensive way—the externalities caused by impact of the interconnectedness within institutions and markets on funding and market liquidity risk within financial systems. The Systemic Risk-adjusted Liquidity (SRL) model combines option pricing with market information and balance sheet data to generate a probabilistic measure of the frequency and severity of multiple entities experiencing a joint liquidity event. It links a firm’s maturity mismatch between assets and liabilities impacting the stability of its funding with those characteristics of other firms, subject to individual changes in risk profiles and common changes in market conditions. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to system-wide liquidity shortfalls and (ii) to price liquidity risk within a macroprudential framework that, if used to motivate a capital charge or insurance premia, provides incentives for liquidity managers to internalize the systemic risk of their decisions. The model can also accommodate a stress testing approach for institution-specific and/or general funding shocks that generate estimates of systemic liquidity risk (and associated charges) under adverse scenarios.

Suggested Citation

  • Andreas Jobst, 2012. "Measuring Systemic Risk-Adjusted Liquidity (SRL): A Model Approach," IMF Working Papers 2012/209, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2012/209
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    Cited by:

    1. Jobst, Andreas A., 2014. "Measuring systemic risk-adjusted liquidity (SRL)—A model approach," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 270-287.
    2. International Monetary Fund, 2013. "European Union: Publication of Financial Sector Assessment Program Documentation—Technical Note on Stress Testing of Banks," IMF Staff Country Reports 2013/068, International Monetary Fund.
    3. 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).
    4. Jan Henrik Wosnitza, 2017. "The optimal trade-off between interest rate risk and annual return of bond ladders," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 469-489, November.
    5. 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.
    6. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    7. Andreas Jobst & Mr. Dale F Gray, 2013. "Systemic Contingent Claims Analysis: Estimating Market-Implied Systemic Risk," IMF Working Papers 2013/054, International Monetary Fund.
    8. 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.
    9. 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.
    10. Anne-Marie Rieu-Foucault, 2017. "Point sur la fourniture de liquidié publique," EconomiX Working Papers 2017-27, University of Paris Nanterre, EconomiX.
    11. 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.
    12. 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.
    13. International Monetary Fund, 2011. "United Kingdom: Stress Testing the Banking Sector Technical Note," IMF Staff Country Reports 2011/227, International Monetary Fund.
    14. de Mendonça, Helder Ferreira & Silva, Rafael Bernardo da, 2018. "Effect of banking and macroeconomic variables on systemic risk: An application of ΔCOVAR for an emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 141-157.
    15. 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.
    16. Schmitt, Matthias & Schmaltz, Christian, 2016. "Potential implications of a NSFR on German banks' credit supply and profitability," Discussion Papers 37/2016, Deutsche Bundesbank.
    17. 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.
    18. 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.
    19. 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.
    20. 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).
    21. Fan, Yaoyao & Jiang, Yuxiang & Ly, Kim Cuong, 2022. "Do banks adjust their liquidity to cope with environmental variation? A study of bank deregulation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    22. 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.

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    More about this item

    Keywords

    WP; private sector liquidity; U.S. dollar; systemic risk; liquidity risk; Net Stable Funding Ratio (NSFR); extreme value theory; financial contagion; macroprudential regulation; liquidity shortfall; fair value; insurance guarantee fee; option pricing; put option; III liquidity framework; central bank; Liquidity; Liquidity requirements; Liquidity management; Global;
    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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