EconPapers    
Economics at your fingertips  
 

Time-consistency of optimal investment under smooth ambiguity

Anne G. Balter, Antje Mahayni and Nikolaus Schweizer

European Journal of Operational Research, 2021, vol. 293, issue 2, 643-657

Abstract: We study portfolio choice in a Black–Scholes world under drift uncertainty. Preferences towards risk and ambiguity are modeled using the smooth ambiguity approach under a double power utility assumption and a normal distribution assumption on the unknown drift. Optimal investment in this setting is time-inconsistent. Utility is maximized by a time-inconsistent pre-commitment strategy resembling the classical Merton solution. In contrast, the optimal dynamically consistent investment strategy accounts for variations in the perceived severity of drift uncertainty, increasing the riskiness of the strategy gradually over time. We provide a detailed comparative analysis of the mechanics and interplay of ambiguity, myopia and optimal decisions in this setting. We show that an investor who pre-commits will regret that decision from some time point onwards, wishing that she had followed the dynamically consistent strategy.

Keywords: Finance; Optimal investment; Smooth ambiguity; Time-consistency; Robustness, (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221720310924
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:ejores:v:293:y:2021:i:2:p:643-657

DOI: 10.1016/j.ejor.2020.12.046

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ejores:v:293:y:2021:i:2:p:643-657