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The performance of stochastic dynamic and fixed mix portfolio models (2000)

Abstract
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 so-called constant rebalancing of 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.

Publication details
Download http://edoc.hu-berlin.de/series/speps/2000-9/PDF/9.pdf
http://edoc.hu-berlin.de/series/speps/2000-9/PS/9.ps
Publisher Humboldt University Berlin, Germany
Repository Humboldt University of Berlin, GERMANY, Document Server (Germany)
Keywords Mathematik, Stochastic programming, Nonlinear programming, Simulation, Portfolio selection, Asset liability management, Performance measurement
Type Text, report
Language eng