On The Investment Strategies in Occupational Pension Plans

23 Pages Posted: 19 Apr 2021

See all articles by Frank Bosserhoff

Frank Bosserhoff

affiliation not provided to SSRN

An Chen

Ulm University - Institute of Insurance Science

Nils Sørensen

Ulm University

Mitja Stadje

Ulm University - Department of Mathematics and Economics

Date Written: April 15, 2021

Abstract

Demographic changes increase the necessity to base the pension system more and more on the second and the third pillar, namely the occupational and private pension plans; this paper deals with Target Date Funds (TDFs), which are a typical investment opportunity for occupational pension planners. TDFs are usually identified with a decreasing fraction of wealth invested in equity (a so-called glide path) as retirement comes closer, i.e., wealth is invested more risky the younger the saver is. We investigate whether this is actually optimal in the presence of non-tradable income risk in a stochastic volatility environment. The retirement planning procedure is formulated as a stochastic optimization problem. We find it is the (random) contributions that induce the optimal path exhibiting a glide path structure, both in the constant and stochastic volatility environment. Moreover, the initial wealth and the initial contribution made to a retirement account strongly influence the fractional amount of wealth to be invested in risky assets. The risk aversion of an individual mainly determines the steepness of the glide path.

Keywords: Optimal Asset Allocation, Defined Contribution Plans, Target Date Funds

JEL Classification: C61, C63, D60, G11

Suggested Citation

Bosserhoff, Frank and Chen, An and Sørensen, Nils and Stadje, Mitja, On The Investment Strategies in Occupational Pension Plans (April 15, 2021). Available at SSRN: https://ssrn.com/abstract=3827859 or http://dx.doi.org/10.2139/ssrn.3827859

Frank Bosserhoff

affiliation not provided to SSRN

An Chen (Contact Author)

Ulm University - Institute of Insurance Science ( email )

Ulm, 89081
Germany

HOME PAGE: http://www.uni-ulm.de/mawi/ivw/team

Nils Sørensen

Ulm University ( email )

Albert-Einstein-Alee 11
Ulm, D-89081
Germany

Mitja Stadje

Ulm University - Department of Mathematics and Economics ( email )

Helmholzstrasse
Ulm, D-89081
Germany

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