IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v44y2022ics1544612321001148.html
   My bibliography  Save this article

Analyst's stock views and revision actions

Author

Listed:
  • Li, Tao

Abstract

It is desirable to know analysts’ true stock views when they issue conflicting revisions in their earnings forecasts, price targets, and stock recommendations. This study employs the hidden Markov model (HMM) to model analysts’ revision activities and make inference for the “stock views”. The validity of the “stock views” is examined through the revision-view consistency. The results demonstrate that revisions consistent with stock views trigger stronger abnormal returns than revisions inconsistent with views. Analysts’ revisions are less effective when the stock views are perceived to be stagnant. Investors and researchers can use stock views to identify more informative revisions.

Suggested Citation

  • Li, Tao, 2022. "Analyst's stock views and revision actions," Finance Research Letters, Elsevier, vol. 44(C).
  • Handle: RePEc:eee:finlet:v:44:y:2022:i:c:s1544612321001148
    DOI: 10.1016/j.frl.2021.102033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612321001148
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2021.102033?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 search for a different version of it.

    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. Brad M. Barber & Reuven Lehavy & Brett Trueman, 2010. "Ratings Changes, Ratings Levels, and the Predictive Value of Analysts’ Recommendations," Financial Management, Financial Management Association International, vol. 39(2), pages 533-553, June.
    3. Malatesta, Paul H. & Thompson, Rex, 1985. "Partially anticipated events: A model of stock price reactions with an application to corporate acquisitions," Journal of Financial Economics, Elsevier, vol. 14(2), pages 237-250, June.
    4. Ulrike Malmendier & Devin Shanthikumar, 2014. "Do Security Analysts Speak in Two Tongues?," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1287-1322.
    5. Francis, J & Soffer, L, 1997. "The relative informativeness of analysts' stock recommendations and earnings forecast revisions," Journal of Accounting Research, Wiley Blackwell, vol. 35(2), pages 193-211.
    6. Du, Kai & Huddart, Steven & Xue, Lingzhou & Zhang, Yifan, 2020. "Using a hidden Markov model to measure earnings quality," Journal of Accounting and Economics, Elsevier, vol. 69(2).
    7. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    8. 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.
    9. Kai Du & Steven Huddart, 2020. "Economic persistence, earnings informativeness, and stock return regularities," Review of Accounting Studies, Springer, vol. 25(4), pages 1263-1300, December.
    10. Altan, Aytaç & Karasu, Seçkin & Bekiros, Stelios, 2019. "Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 325-336.
    11. Friesen, Geoffrey & Weller, Paul A., 2006. "Quantifying cognitive biases in analyst earnings forecasts," Journal of Financial Markets, Elsevier, vol. 9(4), pages 333-365, November.
    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. 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.
    2. Jiang, George J. & Lu, Liangliang & Zhu, Dongming, 2014. "The information content of analyst recommendation revisions — Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 1-17.
    3. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
    4. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    5. Hsieh, Wen-liang Gideon & Lee, Chin-Shen, 2021. "Who reacts to what information in securities analyst reports? Direct evidence from the investor trade imbalance," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    6. Ryan Flugum, 2021. "The trend is an analyst's friend: Analyst recommendations and market technicals," The Financial Review, Eastern Finance Association, vol. 56(2), pages 301-330, May.
    7. Miwa, Kotaro, 2021. "Language barriers in analyst reports," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 223-236.
    8. Balboa, Marina & Gomez-Sala, Juan Carlos & Lopez-Espinosa, German, 2008. "Does the value of recommendations depend on the level of optimism? A country-based analysis," Journal of Multinational Financial Management, Elsevier, vol. 18(4), pages 405-426, October.
    9. Kumar, Alok & Rantala, Ville & Xu, Rosy, 2022. "Social learning and analyst behavior," Journal of Financial Economics, Elsevier, vol. 143(1), pages 434-461.
    10. 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.
    11. Chiang, Ming-Ti & Lin, Mei-Chen, 2019. "Market sentiment and herding in analysts’ stock recommendations," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 48-64.
    12. Savor, Pavel G., 2012. "Stock returns after major price shocks: The impact of information," Journal of Financial Economics, Elsevier, vol. 106(3), pages 635-659.
    13. Roger K. Loh, 2010. "Investor Inattention and the Underreaction to Stock Recommendations," Financial Management, Financial Management Association International, vol. 39(3), pages 1223-1252, September.
    14. Stefano Bonini & Laura Zanetti & Roberto Bianchini & Antonio Salvi, 2010. "Target Price Accuracy in Equity Research," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(9‐10), pages 1177-1217, November.
    15. Premti, Arjan & Garcia-Feijoo, Luis & Madura, Jeff, 2017. "Information content of analyst recommendations in the banking industry," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 35-47.
    16. Li, Fengfei & Lin, Chen & Lin, Tse-Chun, 2021. "Salient anchor and analyst recommendation downgrade," Journal of Corporate Finance, Elsevier, vol. 69(C).
    17. Ruei-Shian Wu & Hsiou-wei W. Lin, 2014. "Security analysts' incentive and cognitive processing bias: evidence from analysts' recommendations," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(4), pages 443-471, December.
    18. Victor Tiberius & Laura Lisiecki, 2019. "Stock Price Forecast Accuracy and Recommendation Profitability of Financial Magazines," IJFS, MDPI, vol. 7(4), pages 1-8, October.
    19. Bosquet, K. & de Goeij, P. C. & Smedts, K., 2009. "Coexistence and Dynamics of Overconfidence and Strategic Incentives," Other publications TiSEM 53ae604c-8815-418c-8101-6, Tilburg University, School of Economics and Management.
    20. Andreas Charitou & Irene Karamanou, 2020. "Sleeping with the enemy: should investment banks be allowed to engage in prop trading?," Review of Accounting Studies, Springer, vol. 25(2), pages 513-557, June.

    More about this item

    Keywords

    Earnings forecasts revisions; Stock recommendations revisions; Price target revisions; Stock views; Hidden Markov model; Market reactions;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    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:finlet:v:44:y:2022:i:c:s1544612321001148. 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/frl .

    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.