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Accounting-based asset return smoothing in participating life annuities: Implications for annuitants, insurers, and policymakers

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  • Maurer, Raimond
  • Mitchell, Olivia S.
  • Rogalla, Ralph
  • Siegelin, Ivonne

Abstract

This chapter outlines the conditions under which accounting-based smoothing can be beneficial for policyholders who hold with-profit or participating payout life annuities (PLAs). We use a realistically-calibrated model of PLAs to explore how alternative accounting techniques influence policyholder welfare as well as insurer profitability and stability. We find that accounting smoothing of participating life annuities is favorable to consumers and insurers, as it mitigates the impact of short-term volatility and enhances the utility of these long-term annuity contracts.

Suggested Citation

  • Maurer, Raimond & Mitchell, Olivia S. & Rogalla, Ralph & Siegelin, Ivonne, 2015. "Accounting-based asset return smoothing in participating life annuities: Implications for annuitants, insurers, and policymakers," CFS Working Paper Series 518, Center for Financial Studies (CFS).
    • Handle: RePEc:zbw:cfswop:518
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    References listed on IDEAS

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    1. Maurer, Raimond & Mitchell, Olivia S. & Rogalla, Ralph & Siegelin, Ivonne, 2016. "Accounting and actuarial smoothing of retirement payouts in participating life annuities," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 268-283.
    2. John Piggott & Emiliano A. Valdez & Bettina Detzel, 2005. "The Simple Analytics of a Pooled Annuity Fund," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(3), pages 497-520, September.
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    4. Ellul, Andrew & Jotikasthira, Chotibhak & Lundblad, Christian T. & Wang, Yihui, 2013. "Mark-to-market accounting and systemic risk: evidence from the insurance industry," LSE Research Online Documents on Economics 60968, London School of Economics and Political Science, LSE Library.
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    6. Andrew J. G. Cairns & David Blake & Kevin Dowd, 2006. "A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(4), pages 687-718, December.
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