Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Optimal Consumption and Robust Portfolio Choice for the 3/2 and 4/2 Stochastic Volatility Models

Version 1 : Received: 23 August 2023 / Approved: 24 August 2023 / Online: 24 August 2023 (07:23:19 CEST)

A peer-reviewed article of this Preprint also exists.

Cheng, Y.; Escobar-Anel, M. Optimal Consumption and Robust Portfolio Choice for the 3/2 and 4/2 Stochastic Volatility Models. Mathematics 2023, 11, 4020. Cheng, Y.; Escobar-Anel, M. Optimal Consumption and Robust Portfolio Choice for the 3/2 and 4/2 Stochastic Volatility Models. Mathematics 2023, 11, 4020.

Abstract

In this work, optimal consumption and investment strategies are derived for risk-averse investors under the 4/2 stochastic volatility class of models. We work under an expected utility (EUT) framework and consider a Constant Relative Risk Aversion (CRRA) investor, who might also be ambiguity-averse. The corresponding Hamilton-Jacobi-Bellman (HJB) and HJB-Isaacs (HJBI) equations are solved in closed-form for a subset of the parametric space and under some restrictions on the portfolio setting, for complete markets. Conditions for proper changes of measure and well defined solutions are provided. These are the first analytical solutions for the 4/2 stochastic volatility model and the embedded 3/2 model for the type of excess returns established in .

Keywords

4/2 stochastic volatility model; CRRA utility; optimal portfolio choice and consumption; Heston’s process; 3/2 process

Subject

Computer Science and Mathematics, Applied Mathematics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.