Utility maximization in constrained and unbounded financial markets: Applications to indifference valuation, regime switching, consumption and Epstein-Zin recursive utility
Ying Hu, Gechun Liang, Shanjian Tang

TL;DR
This paper extends utility maximization theory to unbounded financial markets, applying advanced stochastic methods to derive new insights in derivative valuation, regime switching, and recursive utility, with significant implications for financial decision-making.
Contribution
It develops a comprehensive framework for utility maximization in unbounded markets, incorporating quadratic BSDEs and convex duality, and applies it to derivative valuation, regime switching, and Epstein-Zin utility.
Findings
Derived asymptotic behaviors of indifference prices as risk aversion varies
Analyzed utility maximization with unbounded payoffs and endowments
Established duality and martingale properties in unbounded market settings
Abstract
This memoir presents a systematic study of the utility maximization problem of an investor in a constrained and unbounded financial market. Building upon the work of Hu et al. (2005) [Ann. Appl. Probab., 15, 1691--1712] in a bounded framework, we extend our analysis to the more challenging unbounded case. Our methodology combines both methods of quadratic backward stochastic differential equations with unbounded solutions and convex duality. Central to our approach is the verification of the finite entropy condition, which plays a pivotal role in solving the underlying utility maximization problem and establishing the martingale property and the convex duality representation of the conditional value process. Through four distinct applications, we first study the utility indifference valuation of financial derivatives with unbounded payoffs, uncovering novel asymptotic behaviors as the…
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Taxonomy
TopicsStochastic processes and financial applications · Risk and Portfolio Optimization · Insurance, Mortality, Demography, Risk Management
