Version 2 2025-06-12, 11:42Version 2 2025-06-12, 11:42
Version 1 2025-05-22, 14:59Version 1 2025-05-22, 14:59
journal contribution
posted on 2025-06-12, 11:42authored byYaofei Xu, Dalu ZhangDalu Zhang, Zhiyong Li, Shuoxiang Wang
<p dir="ltr">This paper introduces an innovative two-step approach for identifying implied volatility (IV) mispricing across a large cross-section, moving beyond the traditional volatility forecasting framework. The two-step process disentangles the contributions of historical volatility and other firm-specific characteristics, isolating the residual as the IV mispricing. Different from traditional IV misvaluation proxies, which primarily focus on 1-month at-the-money (ATM) options, our method demonstrates broader applicability. It accommodates options with wider maturities and extends to both ATM and out-of-the-money (OTM) call and put options. Applying a long-short delta-hedged options trading strategy, using the IV mispricing, achieves a high information ratio (IR). When incorporating short- and long-term historical volatility trends as conditions, while returns remain relatively unchanged, portfolio volatility is significantly reduced, further enhancing the IR to 4.093. This approach provides a robust predictive signal for option returns and remains resilient to transaction costs, consistently outperforming alternative signals, as validated through double-sorting analysis.</p>
Funding
XJTLU Research Development Fund. Grant Number: RDF-23-01-018
Data is available from the authors upon reasonable request with permission from Option-Metrics. The data that support the findings of this study are available from the corresponding author upon reasonable request.