PSAHARA Utility Family: Modeling Non-monotone Risk Aversion and Convex Compensation in Incomplete Markets
Yang Liu, Zhenyu Shen

TL;DR
This paper introduces PSAHARA utility functions to model non-monotone risk aversion and convex compensation in incomplete markets, deriving explicit optimal controls and analyzing their implications for risk-taking and portfolio performance.
Contribution
It develops a new class of utility functions, PSAHARA, capturing non-concavity and non-differentiability, and provides explicit optimal control strategies in incomplete markets.
Findings
Convex compensation induces high risk-taking behavior.
PSAHARA portfolios are risk-seeking with high returns and volatility.
Explicit optimal control formulas are derived and analyzed.
Abstract
In hedge funds, convex compensation schemes are adopted to stimulate a high-profit performance for portfolio managers. In economics, non-monotone risk aversion is proposed to argue that individuals may not be risk-averse when the wealth level is low. Combining these two ingredients, we study the optimal control strategy of the manager in incomplete markets. Generally, we propose a wide family of utility functions, the piecewise symmetric asymptotic hyperbolic absolute risk aversion (PSAHARA) utility, to model the two ingredients, containing both non-concavity and non-differentiability as some abnormalities. Technically, we propose an additional assumption and prove concavification techniques of non--concave utility functions with a left unbounded domain in incomplete markets. Next, we derive an explicit optimal control for the family of PSAHARA utilities. This control is expressed into…
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Taxonomy
TopicsEconomic theories and models · Risk and Portfolio Optimization
