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Cross-sectional performance and investor sentiment in a multiple risk factor model

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  • Berger, Dave
  • Turtle, H.J.

Abstract

Economists have long recognized the importance of information veracity in valuing risky securities. Market participants concerned about the credibility of information measures may require additional compensation to entice them to hold stocks with less transparent information. These same securities are expected to display greater sensitivities to measures of market sentiment. We find that investor sentiment sensitivities increase directly with multiple measures of opacity in the cross-section. Next we examine the extent to which sentiment sensitivities are priced in an asset pricing context. Using the Jha et al. (2009) model of conditional performance evaluation, we find an inverse relation between ex ante known investor sentiment and the marginal performance of opaque stocks. In contrast, translucent stocks exhibit relatively little variability in performance across levels of sentiment.

Suggested Citation

  • Berger, Dave & Turtle, H.J., 2012. "Cross-sectional performance and investor sentiment in a multiple risk factor model," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1107-1121.
  • Handle: RePEc:eee:jbfina:v:36:y:2012:i:4:p:1107-1121
    DOI: 10.1016/j.jbankfin.2011.11.001
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Berger, David & Turtle, Harry J., 2015. "Sentiment bubbles," Journal of Financial Markets, Elsevier, vol. 23(C), pages 59-74.
    2. Yang, Chunpeng & Zhou, Liyun, 2016. "Individual stock crowded trades, individual stock investor sentiment and excess returns," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 39-53.
    3. repec:bla:jfnres:v:40:y:2017:i:1:p:113-140 is not listed on IDEAS
    4. Walker, Thomas & Turtle, Harry J. & Pukthuanthong, Kuntara & Thiengtham, Dolruedee, 2015. "Legal opportunism, litigation risk, and IPO underpricing," Journal of Business Research, Elsevier, vol. 68(2), pages 326-340.
    5. repec:pal:jmarka:v:6:y:2018:i:1:d:10.1057_s41270-018-0028-8 is not listed on IDEAS
    6. Nikos C. Papapostolou & Nikos K. Nomikos & Panos K. Pouliasis & Ioannis Kyriakou, 2014. "Investor Sentiment for Real Assets: The Case of Dry Bulk Shipping Market," Review of Finance, European Finance Association, vol. 18(4), pages 1507-1539.
    7. Yang, Yan & Copeland, Laurence, 2014. "The Effects of Sentiment on Market Return and Volatility and The Cross-Sectional Risk Premium of Sentiment-affected Volatility," Cardiff Economics Working Papers E2014/12, Cardiff University, Cardiff Business School, Economics Section.
    8. Khuu, Joyce & Durand, Robert B. & Smales, Lee A., 2016. "Melancholia and Japanese stock returns – 2003 to 2012," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 424-437.
    9. Yang, Chunpeng & Zhou, Liyun, 2015. "Sentiment approach to underestimation and overestimation pricing model," Economic Modelling, Elsevier, vol. 51(C), pages 280-288.

    More about this item

    Keywords

    Investor sentiment; Asset-pricing; Conditional performance;

    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
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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