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A copula-based approach to portfolio credit risk modeling

Author

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  • Bologov , Yaroslav

    () (Moscow State University)

Abstract

Considering correlations between entries of credit portfolio is an important objective when estimating credit risk. This paper aims to construct a multivariate model of credit losses examining a portfolio composed of loans to a set of kinds of business. The paper also introduces the method of credit risk calculation via copulas, gamma distribution and kernel estimates. Empirical application of the introduced method is realized by using a historical loss data provided by one of the Moscow credit banks.

Suggested Citation

  • Bologov , Yaroslav, 2013. "A copula-based approach to portfolio credit risk modeling," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 29(1), pages 45-66.
  • Handle: RePEc:ris:apltrx:0202
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    File URL: http://pe.cemi.rssi.ru/pe_2013_1_45-66.pdf
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    References listed on IDEAS

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    1. Dean Fantazzini, 2008. "Dynamic Copula Modelling for Value at Risk," Frontiers in Finance and Economics, SKEMA Business School, vol. 5(2), pages 72-108, October.
    2. Kritski, Oleg & Ulyanova, Marina, 2007. "Assessment of Multivariate Financial Risks of a Stock Share Portfolio," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 8(4), pages 3-17.
    3. Edward I. Altman & Brooks Brady & Andrea Resti & Andrea Sironi, 2005. "The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications," The Journal of Business, University of Chicago Press, vol. 78(6), pages 2203-2228, November.
    4. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    5. Andre Lucas & Pieter Klaassen & Peter Spreij & Stefan Straetmans, 2003. "Tail behaviour of credit loss distributions for general latent factor models," Applied Mathematical Finance, Taylor & Francis Journals, vol. 10(4), pages 337-357.
    6. Blagoveschensky, Yury, 2012. "Basics of copula’s theory," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 26(2), pages 113-130.
    7. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    8. Fantazzini, Dean, 2008. "Credit Risk Management," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 12(4), pages 84-137.
    9. Kojadinovic, Ivan & Yan, Jun, 2010. "Modeling Multivariate Distributions with Continuous Margins Using the copula R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i09).
    10. Fantazzini , Dean, 2009. "Credit Risk Management (Cont.)," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 13(1), pages 105-138.
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    Citations

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    Cited by:

    1. Дробыш И.И., 2016. "Сравнительный анализ методов оценки рыночного риска, основанных на величине Value at Risk," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(4), pages 74-93, октябрь.

    More about this item

    Keywords

    credit risk; credit bank; multivariate modeling; copula; extreme value theory; kernel smoothing;

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • 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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