A Closed-Form Solution of the Multi-Period Portfolio Choice Problem for a Quadratic Utility Function
Taras Bodnar,
Nestor Parolya and
Wolfgang Schmid
Papers from arXiv.org
Abstract:
In the present paper, we derive a closed-form solution of the multi-period portfolio choice problem for a quadratic utility function with and without a riskless asset. All results are derived under weak conditions on the asset returns. No assumption on the correlation structure between different time points is needed and no assumption on the distribution is imposed. All expressions are presented in terms of the conditional mean vectors and the conditional covariance matrices. If the multivariate process of the asset returns is independent it is shown that in the case without a riskless asset the solution is presented as a sequence of optimal portfolio weights obtained by solving the single-period Markowitz optimization problem. The process dynamics are included only in the shape parameter of the utility function. If a riskless asset is present then the multi-period optimal portfolio weights are proportional to the single-period solutions multiplied by time-varying constants which are depending on the process dynamics. Remarkably, in the case of a portfolio selection with the tangency portfolio the multi-period solution coincides with the sequence of the simple-period solutions. Finally, we compare the suggested strategies with existing multi-period portfolio allocation methods for real data.
Date: 2012-07, Revised 2014-11
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Annals of Operations Research, 229, 121-158, 2015
Downloads: (external link)
http://arxiv.org/pdf/1207.1003 Latest version (application/pdf)
Related works:
Journal Article: A closed-form solution of the multi-period portfolio choice problem for a quadratic utility function (2015) 
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:arx:papers:1207.1003
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().