On improving pension product design

Agnieszka Karolina Konicz, John M. Mulvey

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    The paper provides some guidelines to individuals with de_ned contribution (DC) pension plans on how to manage pension savings both before and after retirement. We argue that decisions regarding investment, annuity payments, and the size of death sum should not only depend on the individual’s age (or time left to retirement), nor should they solely depend on the risk preferences, but should also capture: 1) economical characteristics - such as current value on the pension savings account, expected pension contributions (mandatory and voluntary), and expected income after retirement (e.g. retirement state pension), and 2) personal characteristics - such as risk aversion, lifetime expectancy, preferable payout pro_le, bequest motive, and preferences on portfolio composition. Speci_cally, the decisions are optimal under the expected CRRA utility function and are subject to the constraints characterizing the individual. The problem is solved via a model that combines two optimization approaches: stochastic optimal control and multi-stage stochastic programming. The _rst method is common in _nancial and actuarial literature, but produces theoretical results. However, the latter, which is characteristic for operations research, has highly practical applications. We present the operations research methods which have potential to stimulate new thinking and add to actuarial practice.
    Original languageEnglish
    Title of host publicationProceedings - 30th International Congress of Actuaries
    Number of pages28
    PublisherInternational Actuarial Association
    Publication date2014
    Publication statusPublished - 2014
    Event30th International Congress of Actuaries - Washington, DC, United States
    Duration: 30 Mar 20144 Apr 2014
    Conference number: 30


    Conference30th International Congress of Actuaries
    Country/TerritoryUnited States
    CityWashington, DC
    Internet address


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