Weakly Nonlinear Analysis of the Hamilton-Jacobi-Bellman Equation Arising from Pension Savings Management

International Journal of Numerical Analysis and Modeling Computing and Information, 2010

20 Pages Posted: 1 May 2009 Last revised: 6 Nov 2009

See all articles by Zuzana Macova

Zuzana Macova

affiliation not provided to SSRN

Daniel Sevcovic

Comenius University - Faculty of Mathematics, Physics and Informatics

Date Written: May 1, 2009

Abstract

The main purpose of this paper is to analyze solutions to a fully nonlinear parabolic equation arising from the problem of optimal portfolio construction. We show how the problem of optimal stock to bond proportion in the management of pension fund portfolio can be formulated in terms of the solution to the Hamilton-Jacobi-Bellman equation. We analyze the solution from qualitative as well as quantitative point of view. We construct useful bounds of solution yielding estimates for the optimal value of the stock to bond proportion in the portfolio. Furthermore we construct asymptotic expansions of a solution in terms of a small model parameter. Finally, we perform sensitivity analysis of the optimal solution with respect to various model parameters and compare analytical results of this paper with the corresponding known results arising from time-discrete dynamic stochastic optimization model.

Keywords: Hamilton-Jacobi-Bellman equation, weakly nonlinear analysis, asymptotic expansion, fully nonlinear parabolic equation, stochastic dynamic programming, pension savings accumulation model

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

Suggested Citation

Macova, Zuzana and Sevcovic, Daniel, Weakly Nonlinear Analysis of the Hamilton-Jacobi-Bellman Equation Arising from Pension Savings Management (May 1, 2009). International Journal of Numerical Analysis and Modeling Computing and Information, 2010 , Available at SSRN: https://ssrn.com/abstract=1397760

Zuzana Macova

affiliation not provided to SSRN ( email )

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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