EconPapers    
Economics at your fingertips  
 

Equilibrium Portfolio Selection for Smooth Ambiguity Preferences

Guohui Guan (), Zongxia Liang () and Jianming Xia ()
Additional contact information
Guohui Guan: Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing 100872, China
Zongxia Liang: Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China
Jianming Xia: Key Laboratory of Random Complex Structures and Data Science (RCSDS), National Center for Mathematics and Interdisciplinary Sciences (NCMIS), Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

Mathematics of Operations Research, 2025, vol. 50, issue 2, 1042-1071

Abstract: This paper investigates the equilibrium portfolio selection for smooth ambiguity preferences in a continuous-time market. The investor is uncertain about the risky asset’s drift term and updates the subjective belief according to the Bayesian rule. A verification theorem is established, and an equilibrium strategy can be decomposed into a myopic demand and two hedging demands. When the prior is Gaussian, we provide an equilibrium solution in closed form. Moreover, a puzzle in the numerical results is interpreted via an alternative representation of the smooth ambiguity preferences.

Keywords: Primary: 91B28; 49L20; 91B16; Bayesian learning; smooth ambiguity; time inconsistency; equilibrium strategy (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/moor.2023.0112 (application/pdf)

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:inm:ormoor:v:50:y:2025:i:2:p:1042-1071

Access Statistics for this article

More articles in Mathematics of Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-05-27
Handle: RePEc:inm:ormoor:v:50:y:2025:i:2:p:1042-1071