Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails

Fuente: arXiv
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Main Authors: Jha, Ayush, Shirvani, Abootaleb, Jaffri, Ali M., Rachev, Svetlozar T., Fabozzi, Frank J.
Format: Preprint
Published: 2025
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author Jha, Ayush
Shirvani, Abootaleb
Jaffri, Ali M.
Rachev, Svetlozar T.
Fabozzi, Frank J.
author_facet Jha, Ayush
Shirvani, Abootaleb
Jaffri, Ali M.
Rachev, Svetlozar T.
Fabozzi, Frank J.
contents This paper develops a unified framework that integrates behavioral distortions into rational portfolio optimization by extracting implied probability weighting functions (PWFs) from optimal portfolios modeled under Gaussian and Normal-Inverse-Gaussian (NIG) return distributions. Using DJIA constituents, we construct mean-CVaR99 frontiers, alongwith Sharpe- and CVaR-maximizing portfolios, and estimate PWFs that capture nonlinear beliefs consistent with fear and greed. We show that increasing tail fatness amplifies these distortions and that shifts in the term structure of risk-free rates alter their curvature. The results highlight the importance of jointly modeling return asymmetry and belief distortions in portfolio risk management and capital allocation under extreme-risk environments.
format Preprint
id arxiv_https___arxiv_org_abs_2507_04208
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails
Jha, Ayush
Shirvani, Abootaleb
Jaffri, Ali M.
Rachev, Svetlozar T.
Fabozzi, Frank J.
General Economics
Economics
Portfolio Management
Risk Management
This paper develops a unified framework that integrates behavioral distortions into rational portfolio optimization by extracting implied probability weighting functions (PWFs) from optimal portfolios modeled under Gaussian and Normal-Inverse-Gaussian (NIG) return distributions. Using DJIA constituents, we construct mean-CVaR99 frontiers, alongwith Sharpe- and CVaR-maximizing portfolios, and estimate PWFs that capture nonlinear beliefs consistent with fear and greed. We show that increasing tail fatness amplifies these distortions and that shifts in the term structure of risk-free rates alter their curvature. The results highlight the importance of jointly modeling return asymmetry and belief distortions in portfolio risk management and capital allocation under extreme-risk environments.
title Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails
topic General Economics
Economics
Portfolio Management
Risk Management
url https://arxiv.org/abs/2507.04208