Article ID: | iaor20031444 |
Country: | Netherlands |
Volume: | 140 |
Issue: | 1 |
Start Page Number: | 37 |
End Page Number: | 49 |
Publication Date: | Jul 2002 |
Journal: | European Journal of Operational Research |
Authors: | Wallace Stein W., Hyland Kjetil, Fleten Stein-Erik |
Keywords: | programming: nonlinear, programming: probabilistic, simulation: applications |
The purpose of this paper is to demonstrate how to evaluate stochastic programming models, and more specifically to compare two different approaches to asset liability management. The first uses multistage stochastic programming, while the other is a static approach based on the so-called constant rebalancing or fixed mix. Particular attention is paid to the methodology used for the comparison. The two alternatives are tested over a large number of realistic scenarios created by means of simulation. We find that due to the ability of the stochastic programming model to adapt to the information in the scenario tree, it dominates the fixed mix approach.