Dynamic Stochastic Accumulation Model with Application to Pension Savings Management

Yugoslav Journal of Operations Research, Vol. 20, No. 1, pp. 1-27, 2010

23 Pages Posted: 18 Aug 2008 Last revised: 7 Jul 2010

See all articles by Igor Melichercik

Igor Melichercik

Comenius University - Faculty of Mathematics, Physics and Informatics; Department of Applied Mathematics and Statistics

Daniel Sevcovic

Comenius University - Faculty of Mathematics, Physics and Informatics

Date Written: May 12, 2010

Abstract

We propose a dynamic stochastic accumulation model for determining optimal decision between stock and bond investments during accumulation of pension savings. Stock prices are assumed to be driven by the geometric Brownian motion. Interest rates are modeled by means of the Cox-Ingersoll-Ross model. The optimal decision as a solution to the corresponding dynamic stochastic program is a function of the duration of saving, the level of savings and the short rate. Qualitative and quantitative properties of the optimal solution are analyzed. The model is tested on the funded pillar of the Slovak pension system. The results are calculated for various risk preferences of a saver.

Keywords: dynamic stochastic programming, funded pillar, utility function, Bellman equation, Slovak pension system, risk aversion, pension portfolio simulations

JEL Classification: C15, E27, G19, G11, G23

Suggested Citation

Melichercik, Igor and Sevcovic, Daniel, Dynamic Stochastic Accumulation Model with Application to Pension Savings Management (May 12, 2010). Yugoslav Journal of Operations Research, Vol. 20, No. 1, pp. 1-27, 2010, Available at SSRN: https://ssrn.com/abstract=1231067

Igor Melichercik

Comenius University - Faculty of Mathematics, Physics and Informatics; Department of Applied Mathematics and Statistics ( email )

Mlynská dolina
SK-842 48 Bratislava, 842 48
Slovakia

Daniel Sevcovic (Contact Author)

Comenius University - Faculty of Mathematics, Physics and Informatics ( email )

Mlynská dolina
SK-842 48 Bratislava, 842 48
Slovakia

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