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Correlation crises in insurance and finance, and the need for dynamic risk maps in ORSA

Author

Listed:
  • Stéphane Loisel

    (SAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

  • Pierre Arnal

    (Actuaris - Actuaris)

  • Romain Durand

    (Actuaris - Actuaris)

Abstract
We explain why correlation crises may occur in insurance and finance. These phenomena are not taken into account in Solvency II standard formula. We show the importance of taking them into account in internal models or partial internal models. Given the variety of scenarios that could lead to correlation crises and their different potential impacts, we support the idea that ORSA (Own Risk and Solvency Assessment) reports of insurance companies should include dynamic and causal correlation crises analyzes.

Suggested Citation

  • Stéphane Loisel & Pierre Arnal & Romain Durand, 2010. "Correlation crises in insurance and finance, and the need for dynamic risk maps in ORSA," Working Papers hal-00502848, HAL.
    • Handle: RePEc:hal:wpaper:hal-00502848
    Note: View the original document on HAL open archive server: https://hal.science/hal-00502848
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    References listed on IDEAS

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    1. Areski Cousin & Diana Dorobantu & Didier Rullière, 2013. "An extension of Davis and Lo's contagion model," Quantitative Finance, Taylor & Francis Journals, vol. 13(3), pages 407-420, February.
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    Cited by:

    1. Barsotti, Flavia & Milhaud, Xavier & Salhi, Yahia, 2016. "Lapse risk in life insurance: Correlation and contagion effects among policyholders’ behaviors," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 317-331.
    2. Barsotti, Flavia & Milhaud, Xavier & Salhi, Yahia, 2016. "Lapse risk in life insurance: Correlation and contagion effects among policyholders’ behaviors," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 317-331.

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