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Implementation of the Stress Test Methods in the Retail Portfolio

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  • Pawel Siarka

Abstract

Article refers to the issue of credit risk management in commercial banks. Particular attention is paid to the problem of stress testing. In addition, methods are presented that allow prediction of the losses of the portfolio in the context of extreme events relating to the crises of financial markets. The author presented the results of research based on the extreme values theory, the conditional loss distribution function and the profitability analysis of the loan portfolio. The achieved outcomes has been shown in the context of the provisions of the New Basel Capital Accord and the subsequent consultation documents published by the Basel Committee on Banking Supervision. It was shown that losses caused by the rare but still plausible events could significantly exceed the minimum capital requirements estimated in accordance with IRB method.

Suggested Citation

  • Pawel Siarka, 2012. "Implementation of the Stress Test Methods in the Retail Portfolio," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(6), pages 1-2.
    • Handle: RePEc:spt:apfiba:v:2:y:2012:i:6:f:2_6_2
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    References listed on IDEAS

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    1. Daniel Roesch & Harald Scheule, 2007. "Stress-testing credit risk parameters: An application to retail loan portfolios," Published Paper Series 2007-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Peura, Samu & Jokivuolle, Esa, 2004. "Simulation based stress tests of banks' regulatory capital adequacy," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 1801-1824, August.
    3. Amin, Gaurav S. & Kat, Harry M., 2003. "Hedge Fund Performance 1990–2000: Do the “Money Machines” Really Add Value?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(2), pages 251-274, June.
    4. Juraj Zeman & Pavol Jurca, 2008. "Macro Stress Testing of the Slovak Banking Sector," Working and Discussion Papers WP 1/2008, Research Department, National Bank of Slovakia.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. Darren Pain, 2003. "The provisioning experience of the major UK banks: a small panel investigation," Bank of England working papers 177, Bank of England.
    7. repec:uts:ppaper:v:1:y:2007:i:1:p:55-75 is not listed on IDEAS
    8. Michael Boss & Gerald Krenn & Claus Puhr & Martin Summer, 2006. "Systemic Risk Monitor: A Model for Systemic Risk Analysis and Stress Testing of Banking Systems," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 11, pages 83-95.
    9. repec:zbw:bofrdp:2004_018 is not listed on IDEAS
    10. McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.
    11. Longin, Francois M., 2000. "From value at risk to stress testing: The extreme value approach," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1097-1130, July.
    12. Paul Embrechts & Sidney Resnick & Gennady Samorodnitsky, 1999. "Extreme Value Theory as a Risk Management Tool," North American Actuarial Journal, Taylor & Francis Journals, vol. 3(2), pages 30-41.
    13. Sorge, Marco & Virolainen, Kimmo, 2006. "A comparative analysis of macro stress-testing methodologies with application to Finland," Journal of Financial Stability, Elsevier, vol. 2(2), pages 113-151, June.
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