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Unisex pricing of German participating life annuities—Boon or bane for customer and insurance company?

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  • Bruszas, Sandy
  • Kaschützke, Barbara
  • Maurer, Raimond
  • Siegelin, Ivonne

Abstract

This paper explores how the requirement of gender-neutral premium calculation and the new rules of surplus participation for participating life annuities (PLA) affect insurance company’s profitability and policyholder’s wellbeing. We analyse real data observed for annuity prices in the German market followed by the examination of the impact of unisex calculation, allowing for different assumed and realised gender compositions. To this end, we develop a realistically calibrated asset and liability model for a PLA with stochastic mortality, interest rates, and equity returns. We show that for males, the disadvantages of PLA’s unisex pricing as compared to the gender-specific calculation are substantially lower, if we measure them by considering a lifetime utility that accounts for both distributed surpluses and stochastic mortality. For the insurance company, the gender mix composition turns out to be less important than the capital market influence. Moreover, participating life annuities turn out to be an efficient means to share actual mortality experience between insurance company and the annuitant, and can be, at least to a certain extent, considered a substitute for indemnity longevity hedge.

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  • Bruszas, Sandy & Kaschützke, Barbara & Maurer, Raimond & Siegelin, Ivonne, 2018. "Unisex pricing of German participating life annuities—Boon or bane for customer and insurance company?," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 230-245.
  • Handle: RePEc:eee:insuma:v:78:y:2018:i:c:p:230-245
    DOI: 10.1016/j.insmatheco.2017.09.012
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    More about this item

    Keywords

    Participating life annuity; Gender-neutral pricing; Gender composition; Stochastic mortality; Asset liability model; Lifetime utility;
    All these keywords.

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G - Financial Economics
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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