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Anomalies Enhanced: A Portfolio Rebalancing Approach

Last Updated on 10 February, 2024 by Rejaul Karim

In their illuminating work, “Anomalies Enhanced: A Portfolio Rebalancing Approach,” Yufeng Han, Dayong Huang, and Guofu Zhou introduce a paradigm shift to anomaly portfolios, challenging the annual rebalancing convention. Departing from the traditional yearly realignment, the authors present dynamic trading strategies that recalibrate anomaly portfolios on a monthly cadence.

This nuanced approach significantly amplifies the economic significance of eight major anomalies, propelling the Fama and French (2015) five-factor risk-adjusted abnormal return to newfound heights—surging between 0.40% and 0.75% per month.

Robust across various controls, their findings unveil the untapped profitability of well-known anomalies, ushering in a fresh wave of challenges for their theoretical underpinnings. Han, Huang, and Zhou’s exploration charts a transformative course, inviting a reevaluation of anomaly portfolios in the realm of dynamic rebalancing and heightened economic impact.

Abstract Of Paper

Many anomalies are based on firm characteristics and are rebalanced yearly, ignoring any information during the year. In this paper, we provide dynamic trading strategies to rebalance the anomaly portfolios monthly. For eight major anomalies, we find that these dynamic trading strategies substantially enhance their economic importance, with improvements in the Fama and French (2015) five-factor risk-adjusted abnormal return ranging from 0.40% to 0.75% per month. The results are robust to a number of controls. Our findings indicate that many well known anomalies are more profitable than previously thought, yielding new challenges for their theoretical explanations.

Original paper – Download PDF

Here you can download the PDF and original paper of Anomalies Enhanced: A Portfolio Rebalancing Approach.

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Author

Yufeng Han
University of North Carolina (UNC) at Charlotte – Finance

Dayong Huang
University of North Carolina (UNC) at Greensboro – Bryan School of Business & Economics

Guofu Zhou
Washington University in St. Louis – John M. Olin Business School

Conclusion

In conclusion, the study introduces a paradigm shift in anomaly portfolio management by proposing a dynamic rebalancing approach. Contrary to the conventional yearly rebalancing, our monthly strategies capitalize on timely information, substantially elevating the economic significance of eight major anomalies.

The Fama and French (2015) five-factor risk-adjusted abnormal returns witness remarkable enhancements, ranging from 0.40% to 0.75% per month. These findings, validated across various controls, challenge existing perceptions about anomaly profitability. By shedding light on the untapped potential of well-known anomalies, our research invites a reevaluation of their theoretical underpinnings.

The monthly rebalancing strategy emerges as a powerful tool, unveiling new dimensions in anomaly management and paving the way for a more nuanced understanding of market dynamics.

Related Reading:

It Takes Two to Tango: Fundamental Timing in Stock Market

What Goes up Must Not Come Down – Time Series Momentum in Factor Risk Premiums

FAQ

Q1: What is the key departure from traditional anomaly portfolio management introduced by Han, Huang, and Zhou in their study?
A1: The authors challenge the conventional yearly rebalancing of anomaly portfolios and propose dynamic trading strategies that recalibrate these portfolios on a monthly basis. This departure aims to capitalize on timely information throughout the year.

Q2: How does the monthly rebalancing approach impact the economic significance of major anomalies, and what are the specific improvements observed in the Fama and French (2015) five-factor risk-adjusted abnormal returns?
A2: The monthly rebalancing approach significantly amplifies the economic importance of eight major anomalies. The improvements in the Fama and French (2015) five-factor risk-adjusted abnormal return range from 0.40% to 0.75% per month, showcasing the effectiveness of the dynamic trading strategies.

Q3: What challenges do the findings of this study pose to existing perceptions about anomaly profitability, and how does it invite a reevaluation of theoretical underpinnings?
A3: The findings challenge existing perceptions by revealing that many well-known anomalies are more profitable than previously thought. This invites a reevaluation of the theoretical explanations for these anomalies, as the study uncovers untapped potential and introduces a transformative perspective in anomaly portfolio management.

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