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A Liquidity Risk Stress-Testing Framework with Interaction between Market and Credit Risks

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  • Eric Wong

    (Research Department, Hong Kong Monetary Authority)

  • Cho-Hoi Hui

    (Research Department, Hong Kong Monetary Authority)

Abstract

This study develops a stress-testing framework to assess liquidity risk of banks, where liquidity and default risks can stem from the crystallisation of market risk arising from a prolonged period of negative asset price shocks. In the framework, exogenous asset price shocks increase banks¡¯ liquidity risk through three channels. First, severe mark-to-market losses on the banks¡¯ assets increase banks¡¯ default risk and thus induce significant deposits outflows. Secondly, the ability to generate liquidity from asset sales continues to evaporate due to the shocks. Thirdly, banks are exposed to contingent liquidity risk, as the likelihood of drawdowns on their irrevocable commitments increases in such stressful financial environments. In the framework, the linkage between market and default risks of banks is implemented using a Merton-type model, while the linkage between default risk and deposit outflows is estimated econometrically. Contagion risk is also incorporated through banks¡¯ linkage in the interbank and capital markets. Using the Monte Carlo method, the framework quantifies liquidity risk of individual banks by estimating the expected cash-shortage time and the expected default time. Based on publicly available data as at the end of 2007, the framework is applied to a group of banks in Hong Kong. The simulation results suggest that liquidity risk of the banks would be contained in the face of a prolonged period of asset price shocks. However, some banks would be vulnerable when such shocks coincide with interest rate hikes due to monetary tightening. Such tightening is, however, relatively unlikely in a context of such shocks.

Suggested Citation

  • Eric Wong & Cho-Hoi Hui, 2009. "A Liquidity Risk Stress-Testing Framework with Interaction between Market and Credit Risks," Working Papers 0906, Hong Kong Monetary Authority.
  • Handle: RePEc:hkg:wpaper:0906
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    Cited by:

    1. Zlatuse Komarkova & Marek Rusnak & Hana Hejlova, 2016. "The Relationship between Liquidity Risk and Credit Risk in The CNB's Liquidity Stress Tests," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2015/2016, chapter 0, pages 127-136, Czech National Bank.
    2. Francisco Nadal De Simone & Franco Stragiotti, 2010. "Market and Funding Liquidity Stress Testing of the Luxembourg Banking Sector," BCL working papers 45, Central Bank of Luxembourg.
    3. Jobst, Andreas A., 2014. "Measuring systemic risk-adjusted liquidity (SRL)—A model approach," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 270-287.
    4. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, 2020. "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(3), pages 251-273.
    5. Adam Gersl & Zlatuse Komarkova & Lubos Komarek, 2016. "Liquidity Stress Testing with Second-Round Effects: Application to the Czech Banking Sector," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(1), pages 32-49, February.
    6. Zlatuse Komarkova & Adam Gersl & Lubos Komarek, 2011. "Models for Stress Testing Czech Banks' Liquidity Risk," Working Papers 2011/11, Czech National Bank.
    7. 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.
    8. Andreas Jobst & Ms. Hiroko Oura, 2019. "Sovereign Risk in Macroprudential Solvency Stress Testing," IMF Working Papers 2019/266, International Monetary Fund.
    9. 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.
    10. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, . "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, University of Economics, Prague, vol. 0.
    11. Aditya Anta Taruna & Cicilia Anggadewi Harun & Raquela Renanda Nattan, 2020. "Macroprudential Liquidity Stress Test: An Application to Indonesian Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 165-187.
    12. 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.
    13. Bakoush, Mohamed & Gerding, Enrico & Mishra, Tapas & Wolfe, Simon, 2022. "An integrated macroprudential stress test of bank liquidity and solvency," Journal of Financial Stability, Elsevier, vol. 60(C).
    14. International Monetary Fund, 2014. "People’s Republic of China–Hong Kong Special Administrative Region: Financial Sector Assessment Program-Stress Testing the Banking Sector-Technical Note," IMF Staff Country Reports 2014/210, International Monetary Fund.
    15. Miss Liliana B Schumacher & Mr. Theodore M. Barnhill, 2011. "Modeling Correlated Systemic Liquidity and Solvency Risks in a Financial Environment with Incomplete Information," IMF Working Papers 2011/263, International Monetary Fund.
    16. Mr. Heiko Hesse & Mr. Ferhan Salman & Mr. Christian Schmieder, 2014. "How to Capture Macro-Financial Spillover Effects in Stress Tests?," IMF Working Papers 2014/103, International Monetary Fund.
    17. Céline Gauthier & Moez Souissi & Xuezhi Liu, 2014. "Introducing Funding Liquidity Risk in a Macro Stress-Testing Framework," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 105-142, December.
    18. Hirtle, Beverly & Kovner, Anna & Vickery, James & Bhanot, Meru, 2016. "Assessing financial stability: The Capital and Loss Assessment under Stress Scenarios (CLASS) model," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 35-55.
    19. Tarunika Jain Agrawal & Sanjay Sehgal, 2018. "Dynamic Interaction of Bank Risk Exposures: An Empirical Study for the Indian Banking Industry," IIM Kozhikode Society & Management Review, , vol. 7(2), pages 132-153, July.
    20. Mr. Dimitri G Demekas, 2015. "Designing Effective Macroprudential Stress Tests: Progress So Far and the Way Forward," IMF Working Papers 2015/146, International Monetary Fund.

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    More about this item

    Keywords

    Liquidity risk; stress testing; default risk; banks;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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