The performance of excess volatility strategy under tail risk controls

This study examines excess volatility portfolios and introduces a novel Conditional Value-at-Risk (CVaR) tail risk management strategy. Empirical analysis from 2011–2022 demonstrates that excess volatility portfolios outperform the benchmark 60/40 portfolio during normal markets but face significant left-tail risks during crises. The proposed CVaR strategy effectively mitigates these risks, providing more stable returns and protection against large drawdowns, albeit with reduced profitability. While traditional volatility targeting improves market timing and reduces systematic risks, the CVaR approach further diminishes exposure to behavioral factors and shifts the portfolio toward a more conservative profile. Factor analysis reveals that excess volatility portfolios favor small-cap and value stocks, while tail risk management minimizes these exposures, enhancing stability. The CVaR strategy proves particularly valuable during extreme market events, and contributes a comprehensive framework for balancing profitability, risk, and investment style in volatile markets.

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Publication Details

Journal
International Journal of Financial Engineering
Published
2025-10-31
DOI
https://doi.org/10.1142/s2424786325500203
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

The performance of excess volatility strategy under tail risk controls

Dongfeng Chang, Xiang-Lan Zhao, Xin Wang, Wei Li
International Journal of Financial Engineering
Financial Risk and Volatility Modeling
article

The performance of excess volatility strategy under tail risk controls

Dongfeng Chang, Xiang-Lan Zhao, Xin Wang, Wei Li
article en

Abstract

This study examines excess volatility portfolios and introduces a novel Conditional Value-at-Risk (CVaR) tail risk management strategy. Empirical analysis from 2011–2022 demonstrates that excess volatility portfolios outperform the benchmark 60/40 portfolio during normal markets but face significant left-tail risks during crises. The proposed CVaR strategy effectively mitigates these risks, providing more stable returns and protection against large drawdowns, albeit with reduced profitability. While traditional volatility targeting improves market timing and reduces systematic risks, the CVaR approach further diminishes exposure to behavioral factors and shifts the portfolio toward a more conservative profile. Factor analysis reveals that excess volatility portfolios favor small-cap and value stocks, while tail risk management minimizes these exposures, enhancing stability. The CVaR strategy proves particularly valuable during extreme market events, and contributes a comprehensive framework for balancing profitability, risk, and investment style in volatile markets.

International Journal of Financial EngineeringVol. 12(04)
Shandong University (CN), Chinese University of Hong Kong (HK), Beihang University (CN)
Openalex Percentile: Top 60%
Financial Risk and Volatility Modeling
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The performance of excess volatility strategy under tail risk controls — Dongfeng Chang, Xiang-Lan Zhao, et al. · International Journal of Financial Engineering (2025) | TGRS Research Map | TGRS