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Investment portfolio risk modelling based on hierarchical copulas

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  • Penikas, Henry

    (Higher School of Economics, Moscow, Russia)

Abstract

Paper is devoted to comparison of various copula models application to investment portfolio risk measurement. Elliptical, Archimedean and hierarchical copulas are considered in the research. The analysis undertaken has shown that hierarchical Clayton model enables to evaluate investment portfolio risks more precisely given the criteria of risk measures such as expected shortfall (ES) and Value-at-Risk (VaR). Statistically justified approach to hierarchical copula definition is also proposed.

Suggested Citation

  • Penikas, Henry, 2014. "Investment portfolio risk modelling based on hierarchical copulas," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 18-38.
  • Handle: RePEc:ris:apltrx:0242
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    References listed on IDEAS

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    Cited by:

    1. Antonov I. N. & Knyazev A. G. & Lepekhin O. A., 2016. "Copula Models of the Joint Distribution of Exchange Rates," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 16(4), pages 20-38.

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    More about this item

    Keywords

    copula; hierarchical copula; tail dependence; expected shortfall (ES); Value-at-Risk (VaR);
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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