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Wie wirkt sich das Niedrigzinsumfeld auf die Solvabilität der deutschen Lebensversicherer aus?

Author

Listed:
  • Kablau, Anke
  • Weiß, Matthias

Abstract

Die Lebensversicherer sind von den Auswirkungen des Niedrigzinsumfelds unmittelbar betroffen. Damit sie die zugesicherten Garantien erfüllen können, müssen sie unter Umständen Eigenmittel aufwenden. Dies ist dann der Fall, wenn die von den Unternehmen festgelegte Überschussbeteiligung oder sogar die garantierten Leistungen nicht mehr aus den laufenden Erträgen erwirtschaftet werden können. Dadurch kann ihre Solvabilität gefährdet sein. Mit Hilfe einer Szenarioanalyse wird untersucht, zu welchem Zeitpunkt die deutschen Lebensversicherer aufgrund des Niedrigzinsumfelds die derzeit gültigen Eigenmittelanforderungen nach Solvency I nicht mehr erfüllen können. Im Gegensatz zur übrigen Literatur in diesem Bereich kann für die Analyse auf regulatorische Einzeldaten von 85 deutschen Lebensversicherern zurückgegriffen werden. Die Untersuchung zeigt, dass bereits in einem milden Stressszenario zwölf Lebensversicherer mit einen Marktanteil von rund 14% bis zum Jahr 2023 die Eigenmittelanforderungen nicht mehr erfüllen könnten. Unter verschärften Stressbedingungen, insbesondere wenn auch die Renditen auf andere Anlagenverstärkt unter Druck gerieten, würden 32 Unternehmen die Eigenmittelanforderungen nach Solvency I nicht mehr erfüllen. Dies weist auf ein Gefährdungspotenzial für die Solvabilität der Lebensversicherungsbranche hin.

Suggested Citation

  • Kablau, Anke & Weiß, Matthias, 2014. "Wie wirkt sich das Niedrigzinsumfeld auf die Solvabilität der deutschen Lebensversicherer aus?," Discussion Papers 27/2014, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdps:272014
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    References listed on IDEAS

    as
    1. Stolz, Stéphanie Marie & Wedow, Michael, 2010. "Extraordinary measures in extraordinary times: public measures in support of the financial sector in the EU and the United States," Occasional Paper Series 117, European Central Bank.
    2. Svensson, Lars E O, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992-4," CEPR Discussion Papers 1051, C.E.P.R. Discussion Papers.
    3. Svensson, L.E.O., 1994. "Estimating and Interpreting Foreward Interest Rates: Sweden 1992-1994," Papers 579, Stockholm - International Economic Studies.
    4. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    5. N. Podlich & M. Wedow, 2013. "Are insurers SIFIs? A MGARCH model to measure interconnectedness," Applied Economics Letters, Taylor & Francis Journals, vol. 20(7), pages 677-681, May.
    6. Sergio Siglienti, 2000. "Consequences of the Reduction of Interest Rates on Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 25(1), pages 63-77, January.
    7. Stolz, Stéphanie Marie & Wedow, Michael, 2010. "Extraordinary measures in extraordinary times: Public measures in support of the financial sector in the EU and the United States," Discussion Paper Series 1: Economic Studies 2010,13, Deutsche Bundesbank.
    8. Jean-Claude Trichet, 2005. "Financial Stability and the Insurance Sector*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 30(1), pages 65-71, January.
    9. Jan H Holsboer, 2000. "The Impact of Low Interest Rates on Insurers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 25(1), pages 38-58, January.
    10. Gerry Dickinson, 2000. "The Implications of Lower Interest Rates for Insurers: A Comment," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 25(1), pages 59-62, January.
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    More about this item

    Keywords

    life insurance; low-interest rate environment; financial stability;
    All these keywords.

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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