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Predictive ability of investor sentiment for the stock market

Author

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  • Karam KIM

    (College of Economics, Sungkyunkwan University, Seoul, Republic of Korea)

  • Doojin RYU

    (Corresponding Author)

Abstract

This study investigates investor sentiment’s ability to forecast future stock returns in the short and long terms. We run predictive regressions to examine whether investor sentiment and macroeconomic variables predict stock returns. Investor sentiment forecasts stock returns for at least one month, but it loses its predictive ability after two months. Stock prices overvalued by investor sentiment revert to their intrinsic values after one month. The term spread negatively predicts stock prices, and this predictive ability persists in the long term. The results of an out-of-sample test show that investor sentiment generally has greater predictive power than a set of macroeconomic variables, indicating that investor sentiment can be a key factor in forecasting stock returns.

Suggested Citation

  • Karam KIM & Doojin RYU, 2020. "Predictive ability of investor sentiment for the stock market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 33-46, December.
  • Handle: RePEc:rjr:romjef:v::y:2020:i:4:p:33-46
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    References listed on IDEAS

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    More about this item

    Keywords

    Investor sentiment; Macroeconomic variables; Predictive ability; Return reversal; Short-term effect; Stock returns;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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