Discrete-time stochastic recursive optimal control under constraints and application to finance.

Saved in:
Bibliographic Details
Title: Discrete-time stochastic recursive optimal control under constraints and application to finance.
Authors: Zhang, Liangquan1 (AUTHOR) xiaoquan51011@163.com, Zhang, Weihai2 (AUTHOR)
Source: International Journal of Control. Nov2025, Vol. 98 Issue 11, p2749-2764. 16p.
Subjects: Optimal control theory, Stochastic difference equations, Linear programming, Stochastic processes, Portfolio management (Investments), Constraint satisfaction, Financial services industry
Abstract: In this paper, we establish a necessary condition for optimal control problems of discrete-time forward–backward stochastic difference equations (FBSDEs in short) with control constraints, in which the uncertainty is described by multiplicative noise. Meanwhile, a sufficient condition is given as well for the situation of unconstrained state processes. The diffusion coefficient allows to encompass the control variable under the convex control region. As an application, we focus on a linear quadratic (LQ in short) recursive utility portfolio optimisation problem in financial engineering. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Control is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
Description
Abstract:In this paper, we establish a necessary condition for optimal control problems of discrete-time forward–backward stochastic difference equations (FBSDEs in short) with control constraints, in which the uncertainty is described by multiplicative noise. Meanwhile, a sufficient condition is given as well for the situation of unconstrained state processes. The diffusion coefficient allows to encompass the control variable under the convex control region. As an application, we focus on a linear quadratic (LQ in short) recursive utility portfolio optimisation problem in financial engineering. [ABSTRACT FROM AUTHOR]
ISSN:00207179
DOI:10.1080/00207179.2025.2480612