Anomalies enhanced: A portfolio rebalancing approach

Yufeng Han, Dayong Huang, Guofu Zhou

    Research output: Contribution to journalArticlepeer-review

    3 Scopus citations

    Abstract

    Many anomalies are based on firm characteristics and rebalanced yearly ignoring any information during the year. In this paper, we provide two dynamic trading strategies to rebalance anomaly portfolios monthly. For eight major anomalies, we find that dynamic trading strategies substantially enhance their economic value with improvements in the Fama and French five-factor alpha ranging from 0.40% to 0.75% per month. Our findings indicate that many well-known anomalies can be more profitable than previously thought if managed with our dynamic trading strategies. This much improved performance, which relies on both the anomalies and the trading strategies, raises a new challenge for theoretical explanations.

    Original languageEnglish
    Pages (from-to)371-424
    Number of pages54
    JournalFinancial Management
    Volume50
    Issue number2
    DOIs
    StatePublished - Jun 1 2021

    Keywords

    • dynamic trading
    • monthly rebalance
    • performance enhancement
    • Return anomalies
    • technical analysis

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