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Analyst's stock views and revision actions

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  • 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
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    References listed on IDEAS

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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. 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. repec:bla:jfinan:v:59:y:2004:i:3:p:1083-1124 is not listed on IDEAS
    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)

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    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

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