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Factor-Based Investing in Market Cycles: Fama–French Five-Factor Model of Market Interest Rate and Market Sentiment

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  • Yu-Shang Kuo

    (Department of Finance, National Sun Yat-sen University, Kaohsiung 804, Taiwan)

  • Jen-Tsung Huang

    (Department of Finance, National Sun Yat-sen University, Kaohsiung 804, Taiwan)

Abstract

This study explores risk–reward patterns in the US stock market and establishes optimal factor-based investing using the Fama–French five-factor model through market cycles constructed by Shiller’s interest rates and Baker–Wurgler’s sentiments. Our emerging evidence confirms that the high-interest rate, high-sentiment cycle generates higher excess returns, and the low-interest rate, low-sentiment cycle generates lower excess returns, which supports the hypothesis that the market cycles as investment horizons have an asymmetric effect on stock returns. Furthermore, the size factor outperforms in the low-interest rate, low-sentiment cycle, whilst the value factor outperforms in the high-interest rate, high-sentiment cycle. Using the asymmetric GARCH model, the asymmetric leverage effect of interest rates and sentiments on five-factor returns is empirically demonstrated with explanatory power of five-factor characteristics. Unlike previous studies, our findings also imply that high- and low-sentiment cycles asymmetrically affect the value factor, and the value premium does not disappear over time, highlighting the role of the market cycles in five-factor returns.

Suggested Citation

  • Yu-Shang Kuo & Jen-Tsung Huang, 2022. "Factor-Based Investing in Market Cycles: Fama–French Five-Factor Model of Market Interest Rate and Market Sentiment," JRFM, MDPI, vol. 15(10), pages 1-24, October.
  • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:10:p:460-:d:941515
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    References listed on IDEAS

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    1. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    2. Fama, Eugene F. & French, Kenneth R., 2017. "International tests of a five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 123(3), pages 441-463.
    3. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    4. Nina Ryan & Xinfeng Ruan & Jin E. Zhang & Jing A. Zhang, 2021. "Choosing Factors for the Vietnamese Stock Market," JRFM, MDPI, vol. 14(3), pages 1-23, February.
    5. Gregoriou, Andros & Healy, Jerome V. & Le, Huong, 2019. "Prospect theory and stock returns: A seven factor pricing model," Journal of Business Research, Elsevier, vol. 101(C), pages 315-322.
    6. Robert Novy-Marx & Mihail Velikov, 2016. "A Taxonomy of Anomalies and Their Trading Costs," The Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 104-147.
    7. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    8. Eugene F Fama & Kenneth R French, 2021. "The Value Premium [Fundamentals and stock returns in Japan]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(1), pages 105-121.
    9. Lucas, Andre & van Dijk, Ronald & Kloek, Teun, 2002. "Stock selection, style rotation, and risk," Journal of Empirical Finance, Elsevier, vol. 9(1), pages 1-34, January.
    Full references (including those not matched with items on IDEAS)

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