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Asymmetrical impacts from overnight returns on stock returns

Author

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  • Alex YiHou Huang

    (National Chiao Tung University)

  • Ming-Che Hu

    (National Chiao Tung University)

  • Quang Thai Truong

    (National Chiao Tung University)

Abstract

This paper documents significant relationship between overnight returns and future stock returns in the long-term where high averages of overnight returns lead to low future stock returns, with formation periods ranging from 1 month to 1 year. On the other hand, variations in overnight returns lead to different reactions of future stock returns, depending on the levels of past return performances and stabilities of momentum effects. Return reversals are strongest for stocks with extreme past returns. When momentum effects are volatile, higher variations of overnight returns lead to higher future stock returns. When momentum effects are stable, lower variations of overnight returns lead to higher future stock returns for stocks with extreme positive past returns; for stocks that perform worst in the past few months, the two variables have a non-linear relationship. A set of sample sorting criteria according to above relationship are found to significantly enhance the profitability of momentum trading strategy.

Suggested Citation

  • Alex YiHou Huang & Ming-Che Hu & Quang Thai Truong, 2021. "Asymmetrical impacts from overnight returns on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 849-889, April.
  • Handle: RePEc:kap:rqfnac:v:56:y:2021:i:3:d:10.1007_s11156-020-00911-y
    DOI: 10.1007/s11156-020-00911-y
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    More about this item

    Keywords

    Overnight returns; Momentum effects; Information shocks; Sentiments;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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