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Return smoothing in life insurance from a client perspective

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  • Ruß, Jochen
  • Schelling, Stefan

Abstract

Participating (or with-profit) life insurance contracts play an important role in private old-age provision in many countries. Life insurers pool the assets and liabilities of a heterogeneous portfolio of such contracts and typically perform some return smoothing in the collective investment. Participating contracts were historically equipped with a cliquet-style (year-to-year) guarantee. The current low interest rate environment and regulatory requirements have forced life insurers to develop new product designs with lower and/or different types of guarantees. However, observed demand as well as the findings of several studies show that (year-to-year) guarantees are (subjectively) highly attractive for long-term investors. In this paper, we show that return smoothing alone (that is, without guarantees) can significantly increase the attractiveness for such investors. Most importantly, we show that many (loss averse) long-term investors will even prefer products without guarantee but with smoothed returns over other products with guarantee features. The results hold for long-term investors who not only consider the terminal value but at least partially also evaluate potential annual changes in the account value (even if such changes only have a rather low impact on the decision). Additionally, we show that the descriptive model used in this paper is able to explain the popularity of traditional participating life insurance products in Germany providing further evidence that long-term investors consider potential annual value chances already when making the investment decision.

Suggested Citation

  • Ruß, Jochen & Schelling, Stefan, 2021. "Return smoothing in life insurance from a client perspective," Insurance: Mathematics and Economics, Elsevier, vol. 101(PA), pages 91-106.
  • Handle: RePEc:eee:insuma:v:101:y:2021:i:pa:p:91-106
    DOI: 10.1016/j.insmatheco.2021.03.012
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    as
    1. Døskeland, Trond M. & Nordahl, Helge A., 2008. "Optimal pension insurance design," Journal of Banking & Finance, Elsevier, vol. 32(3), pages 382-392, March.
    2. Jeffrey R. Brown & Jeffrey R. Kling & Sendhil Mullainathan & Marian V. Wrobel, 2008. "Why Don’t People Insure Late-Life Consumption? A Framing Explanation of the Under-Annuitization Puzzle," American Economic Review, American Economic Association, vol. 98(2), pages 304-309, May.
    3. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’Haridon, 2008. "A tractable method to measure utility and loss aversion under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 245-266, June.
    4. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    5. Arjan B. Berkelaar & Roy Kouwenberg & Thierry Post, 2004. "Optimal Portfolio Choice under Loss Aversion," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 973-987, November.
    6. Carole Bernard & Xuedong He & Jia-An Yan & Xun Yu Zhou, 2015. "Optimal Insurance Design Under Rank-Dependent Expected Utility," Mathematical Finance, Wiley Blackwell, vol. 25(1), pages 154-186, January.
    7. Graf, Stefan & Kling, Alexander & Ruß, Jochen, 2011. "Risk analysis and valuation of life insurance contracts: Combining actuarial and financial approaches," Insurance: Mathematics and Economics, Elsevier, vol. 49(1), pages 115-125, July.
    8. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    9. Gollier, Christian, 2008. "Intergenerational risk-sharing and risk-taking of a pension fund," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1463-1485, June.
    10. Andreas Reuß & Jochen Ruß & Jochen Wieland, 2016. "Participating Life Insurance Products with Alternative Guarantees: Reconciling Policyholders’ and Insurers’ Interests," Risks, MDPI, vol. 4(2), pages 1-18, May.
    11. Shlomo Benartzi & Richard H. Thaler, 1999. "Risk Aversion or Myopia? Choices in Repeated Gambles and Retirement Investments," Management Science, INFORMS, vol. 45(3), pages 364-381, March.
    12. Howard Kunreuther & Mark Pauly, 2004. "Neglecting Disaster: Why Don't People Insure Against Large Losses?," Journal of Risk and Uncertainty, Springer, vol. 28(1), pages 5-21, January.
    13. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    14. Chen, An & Hentschel, Felix & Klein, Jakob K., 2015. "A utility- and CPT-based comparison of life insurance contracts with guarantees," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 327-339.
    15. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    16. Wang, Jianli & Liu, Liqun & Neilson, William S., 2020. "The participation puzzle with reference-dependent expected utility preferences," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 278-287.
    17. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    18. van Bilsen, Servaas & Laeven, Roger J.A., 2020. "Dynamic consumption and portfolio choice under prospect theory," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 224-237.
    19. Marc Oliver Rieger & Mei Wang & Thorsten Hens, 2017. "Estimating cumulative prospect theory parameters from an international survey," Theory and Decision, Springer, vol. 82(4), pages 567-596, April.
    20. Goecke, Oskar, 2013. "Pension saving schemes with return smoothing mechanism," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 678-689.
    21. Shapira, Zur & Venezia, Itzhak, 2008. "On the preference for full-coverage policies: Why do people buy too much insurance?," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 747-761, November.
    22. Stefan Graf & Jochen Ruß & Stefan Schelling, 2019. "As you like it: Explaining the popularity of life‐cycle funds with multi cumulative prospect theory," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(2), pages 221-238, July.
    23. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    24. Olivier l'Haridon & Ferdinand M. Vieider, 2019. "All over the map: A worldwide comparison of risk preferences," Quantitative Economics, Econometric Society, vol. 10(1), pages 185-215, January.
    25. Ralf Korn & Andreas Wagner, 2018. "Chance-Risk Classification of Pension Products: Scientific Concepts and Challenges," World Scientific Book Chapters, in: Kathrin Glau & Daniël Linders & Aleksey Min & Matthias Scherer & Lorenz Schneider & Rudi Zagst (ed.), Innovations in Insurance, Risk- and Asset Management, chapter 15, pages 381-398, World Scientific Publishing Co. Pte. Ltd..
    26. Bauer, Daniel & Kling, Alexander & Russ, Jochen, 2008. "A Universal Pricing Framework for Guaranteed Minimum Benefits in Variable Annuities1," ASTIN Bulletin, Cambridge University Press, vol. 38(2), pages 621-651, November.
    27. Jochen Ruß & Stefan Schelling, 2018. "Multi Cumulative Prospect Theory and the Demand for Cliquet‐Style Guarantees," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 85(4), pages 1103-1125, December.
    28. Vasicek, Oldrich Alfonso, 1977. "Abstract: An Equilibrium Characterization of the Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 627-627, November.
    29. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    30. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    31. Susan Laury & Melayne McInnes & J. Swarthout, 2009. "Insurance decisions for low-probability losses," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 17-44, August.
    32. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
    33. Christian Knoller, 2016. "MULTIPLE REFERENCE POINTS AND THE DEMAND FOR PRINCIPAL-PROTECTED LIFE ANNUITIES: An EXPERIMENTAL ANALYSIS," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(1), pages 163-179, January.
    34. Black, Fischer & Perold, AndreF., 1992. "Theory of constant proportion portfolio insurance," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 403-426.
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    More about this item

    Keywords

    Cumulative prospect theory; Myopic loss aversion; Return smoothing; Retirement savings; Participating life insurance;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions

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