IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v174y2020icp284-298.html
   My bibliography  Save this article

Private information and analyst coverage: Evidence from firm survey data

Author

Listed:
  • Nakazono, Yoshiyuki
  • Koga, Maiko
  • Sugo, Tomohiro

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

  • Nakazono, Yoshiyuki & Koga, Maiko & Sugo, Tomohiro, 2020. "Private information and analyst coverage: Evidence from firm survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 284-298.
  • Handle: RePEc:eee:jeborg:v:174:y:2020:i:c:p:284-298
    DOI: 10.1016/j.jebo.2020.03.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268120301104
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2020.03.038?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    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. Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2016. "Expectations and Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 379-431.
    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. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    8. 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.
    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. Laura L. Veldkamp, 2011. "Information Choice in Macroeconomics and Finance," Economics Books, Princeton University Press, edition 1, number 9621.
    11. 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.
    12. 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.
    13. Bachmann, Rüdiger & Elstner, Steffen, 2015. "Firm optimism and pessimism," European Economic Review, Elsevier, vol. 79(C), pages 297-325.
    14. 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.
    15. 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.
    16. 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.
    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. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Baginski, Sp, 1987. "Intraindustry Information Transfers Associated With Management Forecasts Of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 25(2), pages 196-216.
    26. 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 1933-1968, October.
    27. Marcin Kacperczyk & Emiliano S Pagnotta, 2019. "Chasing Private Information," The Review of Financial Studies, Society for Financial Studies, vol. 32(12), pages 4997-5047.
    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. 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.
    30. Kasznik, R, 1999. "On the association between voluntary disclosure and earnings management," Journal of Accounting Research, Wiley Blackwell, vol. 37(1), pages 57-81.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Christopher J. Malloy, 2005. "The Geography of Equity Analysis," Journal of Finance, American Finance Association, vol. 60(2), pages 719-755, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lukas Buchheim & Sebastian Link, 2017. "The Effect of Disaggregate Information on the Expectation Formation of Firms," CESifo Working Paper Series 6768, CESifo.
    2. Alexandros Botsis & Christoph Görtz & Plutarchos Sakellaris, 2020. "Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms' Forecasts," CESifo Working Paper Series 8148, CESifo.
    3. Chen, Cheng & Senga, Tatsuro & Sun, Chang & Zhang, Hongyong, 2023. "Uncertainty, imperfect information, and expectation formation over the firm’s life cycle," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 60-77.
    4. 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.
    5. Enders, Zeno & Hünnekes, Franziska & Müller, Gernot J., 2019. "Monetary policy announcements and expectations: Evidence from german firms," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 45-63.
    6. Zeno Enders & Franziska Hünnekes & Gernot Müller, 2022. "Firm Expectations and Economic Activity," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2396-2439.
    7. Altig, David & Barrero, Jose Maria & Bloom, Nicholas & Davis, Steven J. & Meyer, Brent & Parker, Nicholas, 2022. "Surveying business uncertainty," Journal of Econometrics, Elsevier, vol. 231(1), pages 282-303.
    8. Anmol Bhandari & Jaroslav Borovicka & Paul Ho, 2019. "Survey Data and Subjective Beliefs in Business Cycle Models," Working Paper 19-14, Federal Reserve Bank of Richmond.
    9. Bachmann, Rüdiger, 2019. "Comments on “Monetary policy announcements and expectations: Evidence from German firms”," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 64-68.
    10. Ruediger Bachmann & Kai Carstensen & Stefan Lautenbacher & Martin Schneider, 2021. "Uncertainty and Change: Survey Evidence of Firms's Subjective Beliefs," CESifo Working Paper Series 9394, CESifo.
    11. Born, Benjamin & Enders, Zeno & Menkhoff, Manuel & Müller, Gernot & Niemann, Knut, 2022. "Firm Expectations and News: Micro v Macro," CEPR Discussion Papers 17768, C.E.P.R. Discussion Papers.
    12. Kodama, Naomi & Murakami, Yoshiaki & Tanaka, Mari, 2021. "No Successor, No Success? Impact of a Little Son on Business Performance," Journal of the Japanese and International Economies, Elsevier, vol. 62(C).
    13. 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.
    14. 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.
    15. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    16. Oya Altınkılıç & Vadim S. Balashov & Robert S. Hansen, 2013. "Are Analysts' Forecasts Informative to the General Public?," Management Science, INFORMS, vol. 59(11), pages 2550-2565, November.
    17. Xu, Limin & Yu, Chia-Feng (Jeffrey) & Zurbruegg, Ralf, 2020. "The benefit of being a local leader: Evidence from firm-specific stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    18. Antonecchia, Gianluca, 2023. "Heterogeneous expectations, forecast accuracy and firms’ credit demand," European Economic Review, Elsevier, vol. 154(C).
    19. Hao Gao & Yuanyu Qu & Tao Shen, 2022. "Geographic proximity and price efficiency: Evidence from high‐speed railway connections between firms and financial centers," Financial Management, Financial Management Association International, vol. 51(1), pages 117-141, March.
    20. Jennie Bai & Massimo Massa, 2021. "Is Human-Interaction-based Information Substitutable? Evidence from Lockdown," NBER Working Papers 29513, National Bureau of Economic Research, Inc.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jeborg:v:174:y:2020:i:c:p:284-298. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.