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Private Information and Analyst Coverage: Evidence from Firm Survey Data

Author

Listed:
  • Yoshiyuki Nakazono

    (Yokohama City University)

  • Maiko Koga

    (Bank of Japan)

  • Tomohiro Sugo

    (Bank of Japan)

Abstract

Using a unique panel of survey data on Japanese firms, we provide evidence that firms hold private information revealed in the survey that has predictive power for stock returns. Specifically, we find that the information contained in firms' industry demand forecasts can predict the stock returns of the sector and individual firms up to the next five years. We also uncover the origin of the information advantage of firms, by examining its relation to analyst coverage. To examine the source of the information asymmetry this result implies, we focus on the extent to which firms are covered by securities analysts and find that such information asymmetry arises only in the case of firms not sufficiently covered by analysts.

Suggested Citation

  • Yoshiyuki Nakazono & Maiko Koga & Tomohiro Sugo, 2018. "Private Information and Analyst Coverage: Evidence from Firm Survey Data," Bank of Japan Working Paper Series 18-E-17, Bank of Japan.
    • Handle: RePEc:boj:bojwps:wp18e17
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    1. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    2. Bacchetta, Philippe & Mertens, Elmar & van Wincoop, Eric, 2009. "Predictability in financial markets: What do survey expectations tell us?," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 406-426, April.
    3. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    4. Andrade, Sandro C. & Bian, Jiangze & Burch, Timothy R., 2013. "Analyst Coverage, Information, and Bubbles," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1573-1605, October.
    5. William N. Goetzmann & Dasol Kim & Alok Kumar & Qin Wang, 2015. "Weather-Induced Mood, Institutional Investors, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 73-111.
    6. Buchheim, Lukas & Link, Sebastian, 2017. "The Effect of Disaggregate Information on the Expectation Formation of Firms," Discussion Papers in Economics 41214, University of Munich, Department of Economics.
    7. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    8. Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2016. "Expectations and Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 379-431.
    9. Allaudeen Hameed & Randall Morck & Jianfeng Shen & Bernard Yeung, 2015. "Information, Analysts, and Stock Return Comovement," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3153-3187.
    10. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    11. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    12. Baik, Bok & Kang, Jun-Koo & Kim, Jin-Mo, 2010. "Local institutional investors, information asymmetries, and equity returns," Journal of Financial Economics, Elsevier, vol. 97(1), pages 81-106, July.
    13. Joshua D. Coval & Tobias J. Moskowitz, 2001. "The Geography of Investment: Informed Trading and Asset Prices," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 811-841, August.
    14. Tanaka, Mari & Bloom, Nicholas & David, Joel M. & Koga, Maiko, 2020. "Firm performance and macro forecast accuracy," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 26-41.
    15. Massenot, Baptiste & Pettinicchi, Yuri, 2018. "Can firms see into the future? Survey evidence from Germany," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 66-79.
    16. Kaufmann, Daniel & Mehrez, Gil & Schmukler, Sergio L., 2005. "Predicting currency fluctuations and crises: Do resident firms have an informational advantage?," Journal of International Money and Finance, Elsevier, vol. 24(6), pages 1012-1029, October.
    17. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    18. Massenot, Baptiste & Pettinicchi, Yuri, 2019. "Can households see into the future? Survey evidence from the Netherlands," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 77-90.
    19. Lee, Charles M.C. & So, Eric C., 2017. "Uncovering expected returns: Information in analyst coverage proxies," Journal of Financial Economics, Elsevier, vol. 124(2), pages 331-348.
    20. Samuel B. Bonsall & Zahn Bozanic & Paul E.. Fischer, 2013. "What Do Management Earnings Forecasts Convey About the Macroeconomy?," Journal of Accounting Research, Wiley Blackwell, vol. 51(2), pages 225-266, May.
    21. Baginski, Sp, 1987. "Intraindustry Information Transfers Associated With Management Forecasts Of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 25(2), pages 196-216.
    22. repec:bla:jfinan:v:58:y:2003:i:5:p:1933-1968 is not listed on IDEAS
    23. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2015. "The Measurement and Characteristics of Professional Forecasters' Uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1029-1046, November.
    24. Marcin Kacperczyk & Emiliano S Pagnotta, 2019. "Chasing Private Information," The Review of Financial Studies, Society for Financial Studies, vol. 32(12), pages 4997-5047.
    25. Bachmann, Rüdiger & Elstner, Steffen, 2015. "Firm optimism and pessimism," European Economic Review, Elsevier, vol. 79(C), pages 297-325.
    26. Laura L. Veldkamp, 2011. "Information Choice in Macroeconomics and Finance," Economics Books, Princeton University Press, edition 1, number 9621.
    27. Gene Amromin & Steven A. Sharpe, 2014. "From the Horse's Mouth: Economic Conditions and Investor Expectations of Risk and Return," Management Science, INFORMS, vol. 60(4), pages 845-866, April.
    28. Lys, Thomas & Sohn, Sungkyu, 1990. "The association between revisions of financial analysts' earnings forecasts and security-price changes," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 341-363, December.
    29. Christopher J. Malloy, 2005. "The Geography of Equity Analysis," Journal of Finance, American Finance Association, vol. 60(2), pages 719-755, April.
    30. Bae, Kee-Hong & Stulz, René M. & Tan, Hongping, 2008. "Do local analysts know more? A cross-country study of the performance of local analysts and foreign analysts," Journal of Financial Economics, Elsevier, vol. 88(3), pages 581-606, June.
    31. Alon Brav & Reuven Lehavy, 2003. "An Empirical Analysis of Analysts' Target Prices: Short‐term Informativeness and Long‐term Dynamics," Journal of Finance, American Finance Association, vol. 58(5), pages 1933-1967, October.
    32. Amy P. Hutton & Lian Fen Lee & Susan Z. Shu, 2012. "Do Managers Always Know Better? The Relative Accuracy of Management and Analyst Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 50(5), pages 1217-1244, December.
    33. Kasznik, R, 1999. "On the association between voluntary disclosure and earnings management," Journal of Accounting Research, Wiley Blackwell, vol. 37(1), pages 57-81.
    34. Fama, Eugene F & French, Kenneth R, 1995. "Size and Book-to-Market Factors in Earnings and Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 131-155, March.
    35. Mary E. Barth & Ron Kasznik & Maureen F. McNichols, 2001. "Analyst Coverage and Intangible Assets," Journal of Accounting Research, Wiley Blackwell, vol. 39(1), pages 1-34, June.
    36. Maria Ogneva, 2013. "Discussion of What Do Management Earnings Forecasts Convey About the Macroeconomy?," Journal of Accounting Research, Wiley Blackwell, vol. 51(2), pages 267-279, May.
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    More about this item

    Keywords

    analyst coverage; efficient market hypothesis; return predictability; information advantage; private information; survey data;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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