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Optimal Asset Allocation of a Pension Fund: Does The Fear of Regret Matter?

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  • Oyakhilome IBHAGUI

    (Department of Economics, D3-06 Keynes College, University of Kent, Canterbury, CT2 7NP, UK.)

Abstract

In this paper, which presents a simplified behavioral finance model, we incorporate regret into the decision-making process of a pension fund and derive the optimal asset allocation of a final-wealth-maximizing pension fund in the accumulation and decumulation phases. We find that the optimal allocation must be congruent in both phases if and only if the pension fund is upside regret averse. In particular, our results suggest that allocation to risky assets must increase through time in the accumulation and decumulation phases so that the pension fund can realize gains from any upsides in the risky asset market, thereby maximizing final wealth and limiting the feeling of regret ex-post. Although decisions in both phases are congruent, we find that the optimal asset allocation generally depends on wealth levels. This evidence implies that separate management of the accumulation and decumulation phases of a pension fund decreases available wealth levels and is not an optimal strategy.

Suggested Citation

  • Oyakhilome IBHAGUI, 2017. "Optimal Asset Allocation of a Pension Fund: Does The Fear of Regret Matter?," Journal of Economics Library, KSP Journals, vol. 4(2), pages 130-159, June.
    • Handle: RePEc:ksp:journ5:v:4:y:2017:i:2:p:130-159
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    References listed on IDEAS

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    More about this item

    Keywords

    Financial Markets. Asset allocation. Log-logistic. Modified utility. Mortality. Pension fund. Regret aversion.;

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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