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Minimum standards for investment performance: A new perspective on non-life insurer solvency

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  • Eling, Martin
  • Gatzert, Nadine
  • Schmeiser, Hato

Abstract

The aim of this paper is to develop an alternative approach for assessing an insurer's solvency as a proposal for a standard model for Solvency II. Instead of deriving minimum capital requirements-as is done in solvency regulation-our model provides company-specific minimum standards for risk and return of investment performance, given the distribution structure of liabilities and a predefined safety level. The idea behind this approach is that in a situation of weak solvency, an insurer's asset allocation can be adjusted much more easily in the short term than can, for example, claims cost distributions, operating expenses, or equity capital. Hence, instead of using separate models for capital regulation and solvency regulation-as is typically done in most insurance markets-our single model will reduce the complexity and costs for insurers as well as for regulators. In this paper, we first develop the model framework and second test its applicability using data from a German non-life insurer.

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  • Eling, Martin & Gatzert, Nadine & Schmeiser, Hato, 2009. "Minimum standards for investment performance: A new perspective on non-life insurer solvency," Insurance: Mathematics and Economics, Elsevier, vol. 45(1), pages 113-122, August.
  • Handle: RePEc:eee:insuma:v:45:y:2009:i:1:p:113-122
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    Cited by:

    1. Eckert, Johanna & Gatzert, Nadine, 2018. "Risk- and value-based management for non-life insurers under solvency constraints," European Journal of Operational Research, Elsevier, vol. 266(2), pages 761-774.
    2. Dina Manolache Aurora Elena, 2019. "Stress and scenario tests in the context of a Romanian non-life insurance company," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 149-161, May.
    3. Eling, Martin & Pankoke, David, 2013. "Basis Risk, Procylicality, and Systemic Risk in the Solvency II Equity Risk Module," Working Papers on Finance 1306, University of St. Gallen, School of Finance.
    4. Jing Liu & Huan Zhang, 2017. "Asymptotic Estimates for the One-Year Ruin Probability under Risky Investments," Risks, MDPI, vol. 5(2), pages 1-11, May.
    5. Eling, Martin & Jung, Kwangmin, 2020. "Risk aggregation in non-life insurance: Standard models vs. internal models," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 183-198.
    6. Eling, Martin, 2014. "Fitting asset returns to skewed distributions: Are the skew-normal and skew-student good models?," Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 45-56.
    7. Cheung, Ka Chun & Phillip Yam, Sheung Chi & Yuen, Fei Lung & Zhang, Yiying, 2020. "Concave distortion risk minimizing reinsurance design under adverse selection," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 155-165.
    8. Alexander Braun & Hato Schmeiser & Florian Schreiber, 2017. "Portfolio Optimization Under Solvency II: Implicit Constraints Imposed by the Market Risk Standard Formula," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 177-207, March.
    9. Dorothea Diers & Martin Eling & Christian Kraus & Andreas Reuß, 2012. "Market-consistent embedded value in non-life insurance: how to measure it and why," Journal of Risk Finance, Emerald Group Publishing, vol. 13(4), pages 320-346, August.
    10. Gatzert, Nadine & Kellner, Ralf, 2011. "The influence of non-linear dependencies on the basis risk of industry loss warranties," Insurance: Mathematics and Economics, Elsevier, vol. 49(1), pages 132-144, July.
    11. Abhijit Sharma & Diara Md. Jadi & Damian Ward, 2021. "Analysing the determinants of financial performance for UK insurance companies using financial strength ratings information," Economic Change and Restructuring, Springer, vol. 54(3), pages 683-697, August.

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