EconPapers    
Economics at your fingertips  
 

A kind of optimal investment problem under inflation and uncertain time horizon

Zongyuan Huang, Haiyang Wang and Zhen Wu

Applied Mathematics and Computation, 2020, vol. 375, issue C

Abstract: In this paper, we study a kind of optimal investment problem under inflation and uncertain time horizon. It can be generally formulated into a stochastic optimal control problem. In particular for the constant relative risk aversion utility, we employ the method of completion of squares to give an explicit form of optimal portfolio and maximum utility by the solution of a stochastic Riccati equation, whose wellposedness is obtained and also of significance in its own right. The most distinguishing result of our work is that the randomness of exit time actually affects not only the optimal portfolio but also the maximum utility in the case of stochastic market parameters. Moreover, we present several numerical examples to show the application of theoretical results and further discuss the influence of inflation and random time horizon from the economic viewpoint.

Keywords: Optimal portfolio selection; Inflation; Random time horizon; Constant relative risk aversion utility; Stochastic Riccati equations (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320300539
Full text for ScienceDirect subscribers only

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:eee:apmaco:v:375:y:2020:i:c:s0096300320300539

DOI: 10.1016/j.amc.2020.125084

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:375:y:2020:i:c:s0096300320300539