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Research on lapse in life insurance: what has been done and what needs to be done?

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  • Martin Eling
  • Michael Kochanski

Abstract

Purpose - The purpose of this paper is to review research on lapse in life insurance and to outline potential new areas of research in this field. Design/methodology/approach - The authors consider theoretical lapse rate models as well as empirical research on life insurance lapse and provide a classification of these two streams of research. More than 50 theoretical and empirical papers from this important field of research are reviewed. Challenges for lapse rate modeling, lapse risk mitigation techniques, and possible trends in future lapse behavior are discussed. Findings - Lapse rate modeling has been a very active field of research in the last years, as evidenced by the 44 papers on lapse modeling considered in this review. Moreover, a fair amount of empirical work (another 12 papers) has been done, especially on the issue of how environmental variables affect lapse. Research on individual policyholder and contract information is more scarce, since such information is typically treated as confidential. Practical implications - The risks arising from lapse are of high economic importance. Lapsation is thus of interest not only to academics, but is highly relevant for the industry, regulators, and policymakers, especially in regard to designing an appropriate regulatory environment. Lapsation also impacts many actuarial tasks, such as product design, pricing, hedging, and risk management. A review of the recent literature might be helpful for these tasks. Originality/value - To the best of the authors' knowledge, this is the first structured review of the increasingly important literature on life insurance lapsation. Next to the structured review of the existing models and the empirical evidence, the paper also contributes to the literature by discussing challenges for lapse rate modeling and possible trends.

Suggested Citation

  • Martin Eling & Michael Kochanski, 2013. "Research on lapse in life insurance: what has been done and what needs to be done?," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 14(4), pages 392-413, August.
  • Handle: RePEc:eme:jrfpps:jrf-12-2012-0088
    DOI: 10.1108/JRF-12-2012-0088
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    Cited by:

    1. Koijen, Ralph S.J. & Lee, Hae Kang & Van Nieuwerburgh, Stijn, 2024. "Aggregate lapsation risk," Journal of Financial Economics, Elsevier, vol. 155(C).
    2. Oytun Hac{c}ar{i}z & Torsten Kleinow & Angus S. Macdonald, 2024. "Lapse-supported life insurance and adverse selection," Papers 2409.01843, arXiv.org.
    3. Mathias Valla, 2024. "A Longitudinal Tree-Based Framework for Lapse Management in Life Insurance," Post-Print hal-04178278, HAL.
    4. David Anaya & Lluís Bermúdez & Jaume Belles-Sampera, 2024. "Modeling paid-ups in life insurance products for risk management," Risk Management, Palgrave Macmillan, vol. 26(3), pages 1-21, September.
    5. Mathias Valla & Xavier Milhaud & Anani Ayodélé Olympio, 2023. "Including individual Customer Lifetime Value and competing risks in tree-based lapse management strategies," Post-Print hal-03903047, HAL.

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    More about this item

    Keywords

    Life insurance; Consumer behavior; Modelling; Research work; Lapsation; Surrender; Lapse modeling; Value‐based management; Internal risk models;
    All these keywords.

    JEL classification:

    • 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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