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Divergence of Opinion and Equity Returns

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  • Doukas, John A.
  • Kim, Chansog (Francis)
  • Pantzalis, Christos

Abstract

In this paper, we examine the relation between stock returns and analysts' heterogeneous expectations. We find that stock returns are positively associated with divergence of opinion. Our evidence provides no support for Miller's (1977) overvaluation hypothesis, which predicts lower (higher) future returns for high (low) divergence of opinion stocks in the presence of short-selling constraints. Our findings are based on the use of the diversity measure, which is free from the confounding effects of uncertainty in analysts' forecasts and is therefore a more accurate measure of divergence of opinion than dispersion. Our results refute the view that dispersion in analysts' forecasts reflects divergence of opinion. Our evidence is robust to the use of alternative measures of short-selling constraints, time intervals, optimism in analysts' forecasts, and herding in analysts' behavior.

Suggested Citation

  • Doukas, John A. & Kim, Chansog (Francis) & Pantzalis, Christos, 2006. "Divergence of Opinion and Equity Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(03), pages 573-606, September.
  • Handle: RePEc:cup:jfinqa:v:41:y:2006:i:03:p:573-606_00
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    Cited by:

    1. Fernandez, Pablo & Aguirreamalloa, Javier & Liechtenstein, Heinrich, 2009. "The equity premium puzzle: High required equity premium, undervaluation and self fulfilling prophecy," IESE Research Papers D/821, IESE Business School.
    2. Au, Andrea S. & Doukas, John A. & Onayev, Zhan, 2009. "Daily short interest, idiosyncratic risk, and stock returns," Journal of Financial Markets, Elsevier, vol. 12(2), pages 290-316, May.
    3. Thomas Post & Katja Hanewald, 2010. "Stochastic Mortality, Subjective Survival Expectations, and Individual Saving Behavior," SFB 649 Discussion Papers SFB649DP2010-040, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Xuguang Sheng & Maya Thevenot, 2013. "Differential Interpretation of Public Information: Estimation and Inference," Working Papers 2013-03, American University, Department of Economics.
    5. Shi, Lei, 2016. "Consumption-based CAPM with belief heterogeneity," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 30-46.
    6. Sheng, Xuguang (Simon) & Thevenot, Maya, 2015. "Quantifying differential interpretation of public information using financial analysts’ earnings forecasts," International Journal of Forecasting, Elsevier, vol. 31(2), pages 515-530.
    7. Hauser, Florian & Huber, Jürgen, 2012. "Short-selling constraints as cause for price distortions: An experimental study," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1279-1298.
    8. Chee Yin Yip & Hock Eam Lim & Hooi Hooi Lean, 2016. "Effectiveness of a Cluster of Determinants to Increase Economic Growth Rate: A Combined Statistical Criteria Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 728-735.
    9. Zhao, Zheng & Zhang, YongJie & Feng, Xu & Zhang, Wei, 2014. "An analysis of herding behavior in security analysts’ networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 116-124.
    10. Shin S. Ikeda & Yan Zhang, 2012. "Heterogeneous Beliefs, a Short-Sale Restriction, and the Cross Section of Stock Returns: An Evidence from China," GRIPS Discussion Papers 12-12, National Graduate Institute for Policy Studies.
    11. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    12. Hoffmann, Arvid O.I. & Post, Thomas & Pennings, Joost M.E., 2013. "Individual investor perceptions and behavior during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 60-74.
    13. Post, Thomas & Hanewald, Katja, 2013. "Longevity risk, subjective survival expectations, and individual saving behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 200-220.
    14. repec:eee:finsta:v:31:y:2017:i:c:p:62-80 is not listed on IDEAS
    15. Jeffrey Hobbs & Hei Wai Lee & Vivek Singh, 2017. "New evidence on the effect of belief heterogeneity on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 289-309, February.
    16. Chou, Pin-Huang & Huang, Tsung-Yu & Yang, Hung-Jeh, 2013. "Arbitrage risk and the turnover anomaly," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4172-4182.
    17. Hui Guo & Robert Savickas, 2006. "The relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns in G7 countries," Working Papers 2006-036, Federal Reserve Bank of St. Louis.
    18. Sheng, Xuguang & Thevenot, Maya, 2012. "A new measure of earnings forecast uncertainty," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 21-33.
    19. Atmaz, Adem & Basak, Suleyman, 2017. "Belief Dispersion in the Stock Market," CEPR Discussion Papers 12056, C.E.P.R. Discussion Papers.
    20. Guo, Hui & Savickas, Robert, 2010. "Relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1637-1649, July.
    21. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    22. Lobo, Gerald J. & Song, Minsup & Stanford, Mary, 2012. "Accruals quality and analyst coverage," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 497-508.

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