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Actuarial Modeling and Analysis of the Hong Kong Life Annuity Scheme

Author

Listed:
  • Kwong Koon-Shing

    (School of Economics, Singapore Management University, Singapore, Singapore)

  • Chan Wai-Sum

    (Department of Finance, The Chinese University of Hong Kong, 12 Chak Cheung Street, Shatin, Hong Kong)

  • Siu-Hang Li Johnny

    (Department of Economics, The University of Melbourne, Melbourne, Australia)

Abstract

The Hong Kong Mortgage Corporation (HKMC) Limited, which was established in March 1997 and is wholly owned by the government of the Hong Kong Special Administrative Region, has a major mission to develop and provide different financial retirement instruments to Hong Kong residents to help address the income poverty of retirees. In June 2017, HKMC Annuity Limited, a wholly-owned subsidiary of the HKMC was incorporated to implement a new life annuity scheme which would be launched by mid-2018 to cater for the needs of cash-rich Hong Kong old age residents. The objective of the scheme is to provide an additional financial retirement planning option with minimum credit risk and a certain level of liquidity to the elderly by turning lump-sum premiums into lifetime streams of monthly income at a reasonable and stable return rate. In this paper, we establish an actuarial framework to model this life annuity scheme. The framework enables us to estimate the monthly annuity payments one might receive for a certain amount of investment. It also allows us to analyze the risk entailed in the product, thus shedding light on how the underlying risk can be managed through product design. Our findings will help potential subscribers to understand the scheme and decide whether this scheme should be included in their retirement investment portfolios when it is launched in 2018.

Suggested Citation

  • Kwong Koon-Shing & Chan Wai-Sum & Siu-Hang Li Johnny, 2020. "Actuarial Modeling and Analysis of the Hong Kong Life Annuity Scheme," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 14(1), pages 1-12, January.
    • Handle: RePEc:bpj:apjrin:v:14:y:2020:i:1:p:12:n:2
    DOI: 10.1515/apjri-2018-0013
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    References listed on IDEAS

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    1. Andrew Cairns & David Blake & Kevin Dowd & Guy Coughlan & David Epstein & Alen Ong & Igor Balevich, 2009. "A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States," North American Actuarial Journal, Taylor & Francis Journals, vol. 13(1), pages 1-35.
    2. Siu-Yau Lee & Kee-Lee Chou, 2016. "Trends in Elderly Poverty in Hong Kong: A Decomposition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 551-564, November.
    3. Benjamin M. Friedman & Mark J. Warshawsky, 1990. "The Cost of Annuities: Implications for Saving Behavior and Bequests," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 135-154.
    4. Jang Hoon Choi & Joseph H.T. Kim, 2016. "Designing an Alternative Public Pension Scheme: A Korean Case Study," Global Economic Review, Taylor & Francis Journals, vol. 45(4), pages 380-404, October.
    5. Renshaw, A.E. & Haberman, S., 2006. "A cohort-based extension to the Lee-Carter model for mortality reduction factors," Insurance: Mathematics and Economics, Elsevier, vol. 38(3), pages 556-570, June.
    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.
    7. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
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