On the exact solution of the multi-period portfolio choice problem for an exponential utility under return predictability
Taras Bodnar,
Nestor Parolya and
Wolfgang Schmid
European Journal of Operational Research, 2015, vol. 246, issue 2, 528-542
Abstract:
In this paper we derive the exact solution of the multi-period portfolio choice problem for an exponential utility function under return predictability. It is assumed that the asset returns depend on predictable variables and that the joint random process of the asset returns and the predictable variables follow a vector autoregressive process. We prove that the optimal portfolio weights depend on the covariance matrices of the next two periods and the conditional mean vector of the next period. The case without predictable variables and the case of independent asset returns are partial cases of our solution. Furthermore, we provide an exhaustive empirical study where the cumulative empirical distribution function of the investor’s wealth is calculated using the exact solution. It is compared with the investment strategy obtained under the additional assumption that the asset returns are independently distributed.
Keywords: Multi-period asset allocation; Expected utility optimization; Exponential utility function; Return predictability (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037722171500332X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: On the Exact Solution of the Multi-Period Portfolio Choice Problem for an Exponential Utility under Return Predictability (2012) 
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:eee:ejores:v:246:y:2015:i:2:p:528-542
DOI: 10.1016/j.ejor.2015.04.039
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().