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Sentiment approach to negative expected return in the stock market

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  • Yang, Chunpeng
  • Yan, Wei
  • Zhang, Rengui

Abstract

A large number of researches have shown that the negative return of risky asset exists and has the profound significance whether for actual investment or theory studies. This paper investigates the effect of sentiment by establishing the sentiment asset pricing model, and explores the negative expected return when the parameters change in different situations. We provide the necessary and sufficient conditions for the negative expected return.

Suggested Citation

  • Yang, Chunpeng & Yan, Wei & Zhang, Rengui, 2013. "Sentiment approach to negative expected return in the stock market," Economic Modelling, Elsevier, vol. 35(C), pages 30-34.
    • Handle: RePEc:eee:ecmode:v:35:y:2013:i:c:p:30-34
    DOI: 10.1016/j.econmod.2013.06.018
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Yaojie & Zeng, Qing & Ma, Feng & Shi, Benshan, 2019. "Forecasting stock returns: Do less powerful predictors help?," Economic Modelling, Elsevier, vol. 78(C), pages 32-39.
    2. Chunpeng Yang & Rengui Zhang, 2014. "Does mixed-frequency investor sentiment impact stock returns? Based on the empirical study of MIDAS regression model," Applied Economics, Taylor & Francis Journals, vol. 46(9), pages 966-972, March.
    3. Rehman, Mobeen Ur & Sensoy, Ahmet & Eraslan, Veysel & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2021. "Sensitivity of US equity returns to economic policy uncertainty and investor sentiments," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).

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    More about this item

    Keywords

    Negative expected return; Investor sentiment; Asset pricing model; Behavioral finance;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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