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Investor sentiment as conditioning information in asset pricing

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  • Ho, Chienwei
  • Hung, Chi-Hsiou

Abstract

This paper assesses whether incorporating investor sentiment as conditioning information in asset-pricing models helps capture the impacts of the size, value, liquidity and momentum effects on risk-adjusted returns of individual stocks. We use survey sentiment measures and a composite index as proxies for investor sentiment. In our conditional framework, the size effect becomes less important in the conditional CAPM and is no longer significant in all the other models examined. Furthermore, the conditional models often capture the value, liquidity and momentum effects.

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File URL: http://www.sciencedirect.com/science/article/B6VCY-4TP49N4-1/2/605cdcd11d1ac0028f14b20ae5edd6b1
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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 33 (2009)
Issue (Month): 5 (May)
Pages: 892-903

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Handle: RePEc:eee:jbfina:v:33:y:2009:i:5:p:892-903

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Web page: http://www.elsevier.com/locate/jbf

Related research

Keywords: Anomalies Asset pricing Conditioning information Sentiment;

References

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Citations

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Cited by:
  1. Lam, Keith S.K. & Tam, Lewis H.K., 2011. "Liquidity and asset pricing: Evidence from the Hong Kong stock market," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2217-2230, September.
  2. 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.
  3. Corredor, Pilar & Ferrer, Elena & Santamaria, Rafael, 2013. "Investor sentiment effect in stock markets: Stock characteristics or country-specific factors?," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 572-591.
  4. Cartea, Álvaro & Karyampas, Dimitrios, 2011. "Volatility and covariation of financial assets: A high-frequency analysis," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3319-3334.
  5. Florackis, Chris & Gregoriou, Andros & Kostakis, Alexandros, 2011. "Trading frequency and asset pricing on the London Stock Exchange: Evidence from a new price impact ratio," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3335-3350.
  6. Chung, San-Lin & Hung, Chi-Hsiou & Yeh, Chung-Ying, 2012. "When does investor sentiment predict stock returns?," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 217-240.
  7. Chang, Eric C. & Luo, Yan & Ren, Jinjuan, 2013. "Pricing deviation, misvaluation comovement, and macroeconomic conditions," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5285-5299.
  8. M. Zouaoui & G. Nouyrigat & F. Beer, 2010. "How does investor sentiment affect stock market crises? Evidence from panel data," Post-Print halshs-00534754, HAL.
  9. Jha, Ranjini & Korkie, Bob & Turtle, Harry J., 2009. "Measuring performance in a dynamic world: Conditional mean-variance fundamentals," Journal of Banking & Finance, Elsevier, vol. 33(10), pages 1851-1859, October.
  10. Banerjee, Anurag & Hung, Chi-Hsiou, 2011. "Informed momentum trading versus uninformed "naive" investors strategies," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3077-3089, November.
  11. Hwang, Young-Soon & Min, Hong-Ghi & McDonald, Judith A. & Kim, Hwagyun & Kim, Bong-Han, 2010. "Using the credit spread as an option-risk factor: Size and value effects in CAPM," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2995-3009, December.
  12. Mohamed Zouaoui & Geneviève Nouyrigat & Francisca Beer, 2011. "How does investor sentiment affect stock market crises?Evidence from panel data," Working Papers FARGO 1110304, Université de Bourgogne - Crego EA 7317/Fargo (Research center in Finance,organizational ARchitecture and GOvernance).

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