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Liquidity Stress-Tester: A Model for Stress-testing Banks' Liquidity Risk

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  • Jan Willem van den End

Abstract

This article presents a stress-testing model for liquidity risks of banks. It takes into account the first- and second-round (feedback) effects of shocks, induced by reactions of heterogeneous banks, and reputation effects. The impact on liquidity buffers and the probability of a liquidity shortfall is simulated by a Monte Carlo approach. An application to Dutch banks illustrates that the second-round effects in specific scenarios could have more impact than the first-round effects and hit all types of banks, indicative of systemic risk. This lends support policy initiatives to enhance banks' liquidity buffers and liquidity risk management, which could also contribute to prevent financial stability risks. (JEL Codes: C15, E44, G21, G32) Copyright , Oxford University Press.

Suggested Citation

  • Jan Willem van den End, 2010. "Liquidity Stress-Tester: A Model for Stress-testing Banks' Liquidity Risk," CESifo Economic Studies, CESifo Group, vol. 56(1), pages 38-69, March.
    • Handle: RePEc:oup:cesifo:v:56:y:2010:i:1:p:38-69
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    File URL: http://hdl.handle.net/10.1093/cesifo/ifp005
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    Citations

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    Cited by:

    1. Bernd Rudolph, 2010. "Die internationale Finanzkrise als Anstoß für Weiterentwicklungen im Risikocontrolling der Banken und für Reformen in der Bankregulierung," Schmalenbach Journal of Business Research, Springer, vol. 62(61), pages 122-149, January.
    2. Stanislav Skapa, 2013. "Commodities As A Tool Of Risk Diversification," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 8(2), pages 65-77, June.
    3. Koliai, Lyes, 2016. "Extreme risk modeling: An EVT–pair-copulas approach for financial stress tests," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 1-22.
    4. Oana-Maria Georgescu & Dimitrios Laliotis & Miha Leber & Javier Población, 2020. "A Liquidity Shortfall Analysis Framework for the European Banking Sector," Mathematics, MDPI, vol. 8(5), pages 1-15, May.
    5. Benjamin M. Tabak & Solange M. Guerra & Rodrigo C. Miranda & Sergio Rubens S. de Souza, 2012. "Teste de Estresse para Risco de Liquidez: o caso do sistema bancário brasileiro," Working Papers Series 302, Central Bank of Brazil, Research Department.
    6. van den End, Jan Willem & Tabbae, Mostafa, 2012. "When liquidity risk becomes a systemic issue: Empirical evidence of bank behaviour," Journal of Financial Stability, Elsevier, vol. 8(2), pages 107-120.
    7. Benjamin M. Tabak & Sergio R. S. Souza & Solange M. Guerra, 2013. "Assessing Systemic Risk in the Brazilian Interbank Market," Working Papers Series 318, Central Bank of Brazil, Research Department.
    8. E. G. Shershneva & H. B. Bakr Hasan & J. Al Hadabi, 2020. "Econometric Modeling of the Bank’s Short-Term Liquidity Dynamics Based on Multi-Factor Regression," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(1), pages 79-96.
    9. Guy, Kester & Lowe, Shane, 2012. "Tracing the Liquidity Effects on Bank Stability in Barbados," MPRA Paper 52205, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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