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Analysts and sentiment: A causality study

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  • Kaplanski, Guy
  • Levy, Haim

Abstract

We analyze the role that financial analysts play in the sentiment effect on stock prices. Causality analysis reveals that sentiment affects various aspects of analysts’ forecasts and recommendations. We show that experienced analysts are aware of sentiment, consciously incorporate it and have some control over its effect. As a result, the sentiment effect on analysts replicates the sentiment effect expected in stock prices and actual forecast errors are limited to certain cases. Analysts expedite the propagation of sentiment to stock prices and probably enhance the effect by influencing sophisticated investors, but they do not initiate or shape it. The new regulations, “Research Analysts and Research Reports” and “Communications with the Public”, imposed in 2002, have reduced over-optimism due to sentiment.

Suggested Citation

  • Kaplanski, Guy & Levy, Haim, 2017. "Analysts and sentiment: A causality study," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 315-327.
    • Handle: RePEc:eee:quaeco:v:63:y:2017:i:c:p:315-327
    DOI: 10.1016/j.qref.2016.06.002
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    as
    1. Antoniou, Constantinos & Doukas, John A. & Subrahmanyam, Avanidhar, 2013. "Cognitive Dissonance, Sentiment, and Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 245-275, February.
    2. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.
    3. Giuseppe Moscarini & Fabien Postel-Vinay, 2012. "The Contribution of Large and Small Employers to Job Creation in Times of High and Low Unemployment," American Economic Review, American Economic Association, vol. 102(6), pages 2509-2539, October.
    4. Mehran, Hamid & Stulz, Rene M., 2007. "The economics of conflicts of interest in financial institutions," Journal of Financial Economics, Elsevier, vol. 85(2), pages 267-296, August.
    5. Danbolt, Jo & Siganos, Antonios & Vagenas-Nanos, Evangelos, 2015. "Investor sentiment and bidder announcement abnormal returns," Journal of Corporate Finance, Elsevier, vol. 33(C), pages 164-179.
    6. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    7. repec:hrv:faseco:33077905 is not listed on IDEAS
    8. Basu, Sanjoy, 1983. "The relationship between earnings' yield, market value and return for NYSE common stocks : Further evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 129-156, June.
    9. Frazzini, Andrea & Lamont, Owen A., 2008. "Dumb money: Mutual fund flows and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 88(2), pages 299-322, May.
    10. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    11. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    12. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    13. Teresa C Fort & John Haltiwanger & Ron S Jarmin & Javier Miranda, 2013. "How Firms Respond to Business Cycles: The Role of Firm Age and Firm Size," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(3), pages 520-559, August.
    14. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    15. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    16. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    17. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    18. Sorescu, Sorin & Subrahmanyam, Avanidhar, 2006. "The Cross Section of Analyst Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 139-168, March.
    19. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    20. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    21. Trueman, Brett, 1994. "Analyst Forecasts and Herding Behavior," Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 97-124.
    22. Mola, Simona & Guidolin, Massimo, 2009. "Affiliated mutual funds and analyst optimism," Journal of Financial Economics, Elsevier, vol. 93(1), pages 108-137, July.
    23. Boni, Leslie & Womack, Kent L., 2006. "Analysts, Industries, and Price Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 85-109, March.
    24. Ohad Kadan & Leonardo Madureira & Rong Wang & Tzachi Zach, 2009. "Conflicts of Interest and Stock Recommendations: The Effects of the Global Settlement and Related Regulations," Review of Financial Studies, Society for Financial Studies, vol. 22(10), pages 4189-4217, October.
    25. Barber, Brad M. & Lehavy, Reuven & McNichols, Maureen & Trueman, Brett, 2006. "Buys, holds, and sells: The distribution of investment banks' stock ratings and the implications for the profitability of analysts' recommendations," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 87-117, April.
    26. Volkan Muslu & Yanfeng Xue, 2013. "Analysts’ Momentum Recommendations," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(3-4), pages 438-469, April.
    27. Narasimhan Jegadeesh & Joonghyuk Kim & Susan D. Krische & Charles M. C. Lee, 2004. "Analyzing the Analysts: When Do Recommendations Add Value?," Journal of Finance, American Finance Association, vol. 59(3), pages 1083-1124, June.
    28. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    29. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
    30. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    31. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    32. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    33. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
    34. Liston, Daniel Perez, 2016. "Sin stock returns and investor sentiment," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 63-70.
    35. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    More about this item

    Keywords

    Financial analysts; Investor sentiment; Market efficiency; Behavioral finance;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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