Long-Term Portfolio Choice Given Uncertain Personal Savings

53 Pages Posted: 12 May 2002

See all articles by Guenter Franke

Guenter Franke

University of Konstanz - Department of Economics

Sandra Peterson

affiliation not provided to SSRN

Richard C. Stapleton

University of Strathclyde - Department of Accounting and Finance

Date Written: June 20, 2002

Abstract

Investors choosing a portfolio strategy, in order to secure a pension at a future date, are faced with many uncertainties. One major uncertainty, is the amount by which their pension fund will be supplemented by personal savings from a variety of sources such as future labor income, bequests, or property sales. Over long periods of time these uncertainties are likely to be large and difficult to hedge, and hence may have a significant effect on the dynamic portfolio strategy chosen for the pension scheme. Drawing on the results of previous literature on the reaction of investors to non-hedgable background risk, and on the theory of stochastic dynamic programming, this article derives optimal strategies for investors maximising the expected utility of terminal wealth, where wealth consists of a pension fund plus accumulated personal savings. Numerical results, assuming that the market portfolio and the expectation of personal savings follow correlated geometric Brownian motions, are derived to illustrate the effects of the size and uncertainty of the personal savings, as well as the effect of the resolution of the uncertainty in them over time. The computation uses a new technique for implementing the stochastic dynamic programming. This involves a binomial approximation, in two dimensions, which ensures that the computations are feasible for relatively long-term problems.

Suggested Citation

Franke, Guenter and Peterson, Sandra and Stapleton, Richard C., Long-Term Portfolio Choice Given Uncertain Personal Savings (June 20, 2002). Available at SSRN: https://ssrn.com/abstract=311779 or http://dx.doi.org/10.2139/ssrn.311779

Guenter Franke

University of Konstanz - Department of Economics ( email )

Fach 147
Konstanz, 78457
Germany
+49 7531 88 2545 (Phone)
+49 7531 88 3559 (Fax)

Sandra Peterson

affiliation not provided to SSRN

Richard C. Stapleton (Contact Author)

University of Strathclyde - Department of Accounting and Finance ( email )

Curran Building
100 Cathedral Street
Glasgow G4 0LN
United Kingdom
+44 1524 381 172 (Phone)
+44 1524 846874 (Fax)

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