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Calculating systemic risk capital: A factor model approach

Author

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  • Avramidis, Panagiotis
  • Pasiouras, Fotios
Abstract
We treat the banking system as a traded credit portfolio and calculate systemic risk capital as the amount of capital that insures the portfolio's value against unexpected losses. Using data from the largest global financial institutions, we find evidence of extreme event dependence between banks during the recent financial crisis. Subsequently, we extend the existing Gaussian approach by proposing a model that accounts for the extreme event dependence, and we quantify the level of capital shortfall when this characteristic is ignored. Furthermore, the mark to market valuation approach incorporates the economic loss of credit downgrades into the estimates.

Suggested Citation

  • Avramidis, Panagiotis & Pasiouras, Fotios, 2015. "Calculating systemic risk capital: A factor model approach," Journal of Financial Stability, Elsevier, vol. 16(C), pages 138-150.
    • Handle: RePEc:eee:finsta:v:16:y:2015:i:c:p:138-150
    DOI: 10.1016/j.jfs.2015.01.003
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    References listed on IDEAS

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    Cited by:

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    3. Hong Fan & Allan Alvin Lee Lukaya Amalia & Qian Qian Gao, 2018. "The Assessment of Systemic Risk in the Kenyan Banking Sector," Complexity, Hindawi, vol. 2018, pages 1-15, January.
    4. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    5. Miguel Rivera-Castro & Andrea Ugolini & Juan Arismendi Z, 2016. "Tail Systemic Risk And Banking Network Contagion: Evidence From the Brazilian Banking System," ICMA Centre Discussion Papers in Finance icma-dp2016-05, Henley Business School, University of Reading.
    6. Rivera-Castro, Miguel A. & Ugolini, Andrea & Arismendi Zambrano, Juan, 2018. "Tail systemic risk and contagion: Evidence from the Brazilian and Latin America banking network," Emerging Markets Review, Elsevier, vol. 35(C), pages 164-189.
    7. Kosmidou, Kyriaki & Kousenidis, Dimitrios & Ladas, Anestis & Negkakis, Christos, 2017. "Determinants of risk in the banking sector during the European Financial Crisis," Journal of Financial Stability, Elsevier, vol. 33(C), pages 285-296.
    8. Uribe, Jorge M. & Chuliá, Helena & Guillén, Montserrat, 2017. "Uncertainty, systemic shocks and the global banking sector: Has the crisis modified their relationship?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 52-68.
    9. Hasan Hanif & Muhammad Naveed & David McMillan, 2020. "Dynamic modeling of idiosyncratic risk under economic sensitivity. A case of Pakistan," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1838734-183, January.
    10. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

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    More about this item

    Keywords

    Macro-prudential regulation; Systemic risk capital charges; Value at Risk; Factor models; Tail dependence;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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