Winners vs. Losers: Momentum-based Strategies with Intertemporal Choice for ESG Portfolios

Fuente: arXiv
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Autores principales: Jha, Ayush, Shirvani, Abootaleb, Jaffri, Ali, Rachev, Svetlozar T., Fabozzi, Frank J.
Formato: Preprint
Publicado: 2025
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author Jha, Ayush
Shirvani, Abootaleb
Jaffri, Ali
Rachev, Svetlozar T.
Fabozzi, Frank J.
author_facet Jha, Ayush
Shirvani, Abootaleb
Jaffri, Ali
Rachev, Svetlozar T.
Fabozzi, Frank J.
contents This paper introduces a state-dependent momentum framework that integrates ESG regime switching with tail-risk-aware reward-risk metrics. Using a dynamic programming approach and solving a finite-horizon Bellman equation, we construct long-short momentum portfolios that adjust to changing ESG sentiment regimes. Unlike traditional momentum strategies based on historical returns, our approach incorporates the Stable Tail Adjusted Return ratio and Rachev ratio to better capture downside risk in turbulent markets. We apply this framework across three asset classes, Russell 3000 equities, Dow Jones~30 stocks, and cryptocurrencies, under both pro- and anti-ESG market regimes. We find that ESG-loser portfolios significantly outperform ESG-winner portfolios in pro-ESG regimes, a counterintuitive result suggesting that market overreaction to ESG sentiment creates short-term pricing inefficiencies. This pattern is robust across tail-sensitive performance metrics and is most pronounced under a two-week formation and holding period. Our framework highlights how ESG considerations and sentiment regimes alter return dynamics, offering practical guidance for investors seeking to implement responsive momentum strategies under sustainability constraints. These findings challenge conventional assumptions about ESG investing and underscore the importance of dynamic, regime-aware portfolio construction in environments shaped by regulatory signals, investor flows, and behavioral biases.
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id arxiv_https___arxiv_org_abs_2505_24250
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Winners vs. Losers: Momentum-based Strategies with Intertemporal Choice for ESG Portfolios
Jha, Ayush
Shirvani, Abootaleb
Jaffri, Ali
Rachev, Svetlozar T.
Fabozzi, Frank J.
General Economics
Economics
This paper introduces a state-dependent momentum framework that integrates ESG regime switching with tail-risk-aware reward-risk metrics. Using a dynamic programming approach and solving a finite-horizon Bellman equation, we construct long-short momentum portfolios that adjust to changing ESG sentiment regimes. Unlike traditional momentum strategies based on historical returns, our approach incorporates the Stable Tail Adjusted Return ratio and Rachev ratio to better capture downside risk in turbulent markets. We apply this framework across three asset classes, Russell 3000 equities, Dow Jones~30 stocks, and cryptocurrencies, under both pro- and anti-ESG market regimes. We find that ESG-loser portfolios significantly outperform ESG-winner portfolios in pro-ESG regimes, a counterintuitive result suggesting that market overreaction to ESG sentiment creates short-term pricing inefficiencies. This pattern is robust across tail-sensitive performance metrics and is most pronounced under a two-week formation and holding period. Our framework highlights how ESG considerations and sentiment regimes alter return dynamics, offering practical guidance for investors seeking to implement responsive momentum strategies under sustainability constraints. These findings challenge conventional assumptions about ESG investing and underscore the importance of dynamic, regime-aware portfolio construction in environments shaped by regulatory signals, investor flows, and behavioral biases.
title Winners vs. Losers: Momentum-based Strategies with Intertemporal Choice for ESG Portfolios
topic General Economics
Economics
url https://arxiv.org/abs/2505.24250