On the Use of Mean-Variance and Quadratic Approximations in Implementing Dynamic Investment Strategies: A Comparison of Returns and Investment Policies
Robert R. Grauer and
Nils H. Hakansson
Additional contact information
Robert R. Grauer: Department of Economics and Faculty of Business Administration, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6
Nils H. Hakansson: Haas School of Business, University of California, Berkeley, 350 Barrows Hall, Berkeley, California 94720
Management Science, 1993, vol. 39, issue 7, 856-871
Abstract:
This paper compares two approximation schemes for calculating the optimal portfolios in the discrete-time dynamic investment model, specifically, the mean-variance (MV) and the quadratic approximations, to the exact power function method. Future returns are estimated via the empirical probability assessment approach. The results show that (i) with quarterly revision, the MV model approximates the dynamic model very well; (ii) with annual revision, there are often sharp differences between the power function model and the MV approximation; and (iii) these differences become even larger when the quadratic approximation is used.
Keywords: dynamic investment; mean-variance analysis; asset allocation; investment management (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (31)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.39.7.856 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:39:y:1993:i:7:p:856-871
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().