|edoc-Server der Humboldt-Universität zu Berlin|
Stein-Erik Fleten, Norwegian University of Science and Technology|
Kjetil Høyland, Gjensidige Asset Management
Stein W. Wallace, Norwegian University of Science and Technology
|Title:||The performance of stochastic dynamic and fixed mix portfolio models|
|Date of Acceptance:||01.04.2000|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Keywords (eng):||Stochastic programming, Nonlinear programming, Simulation, Portfolio selection, Asset liability management, Performance measurement|
European journal of operational research : EJOR 1 (Vol. 140, 2002)
North-Holland Publ. Co. (Amsterdam)
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
|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.|
These data concerning access statistics for individual documents
have been compiled using the webserver log files aggregated by AWSTATS.
They refer to a monthly access count to the full text documents as well as to the entry page.
As for format versions of a document which consist of multiple files (such as HTML) the highest monthly access number to one of the files (chapters) is shown respectivly.
To see the detailled access numbers please move the mouse pointer over the single bars of the digaram.
Gesamtzahl der Zugriffe seit Jul 2011: