IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v37y2011i4p477-507.html
   My bibliography  Save this article

Relative accuracy of analysts’ earnings forecasts over time: a Markov chain analysis

Author

Listed:
  • Derann Hsu
  • Cheng-Huei Chiao

Abstract

No abstract is available for this item.

Suggested Citation

  • Derann Hsu & Cheng-Huei Chiao, 2011. "Relative accuracy of analysts’ earnings forecasts over time: a Markov chain analysis," Review of Quantitative Finance and Accounting, Springer, vol. 37(4), pages 477-507, November.
  • Handle: RePEc:kap:rqfnac:v:37:y:2011:i:4:p:477-507
    DOI: 10.1007/s11156-010-0214-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11156-010-0214-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11156-010-0214-z?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. Beneish, Messod D & Harvey, Campbell R, 1998. "Measurement Error and Nonlinearity in the Earnings-Returns Relation," Review of Quantitative Finance and Accounting, Springer, vol. 11(3), pages 219-247, November.
    2. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    3. Gilles Hilary & Lior Menzly, 2006. "Does Past Success Lead Analysts to Become Overconfident?," Management Science, INFORMS, vol. 52(4), pages 489-500, April.
    4. Douglas T. Breeden & Michael R Gibbons & Robert H. Litzenberger, "undated". "Empirical Tests of the Consumption-Oriented CAPM," Rodney L. White Center for Financial Research Working Papers 07-89, Wharton School Rodney L. White Center for Financial Research.
    5. Mikhail, MB & Walther, BR & Willis, RH, 1997. "Do security analysts improve their performance with experience?," Journal of Accounting Research, Wiley Blackwell, vol. 35, pages 131-157.
    6. Breeden, Douglas T & Gibbons, Michael R & Litzenberger, Robert H, 1989. " Empirical Tests of the Consumption-Oriented CAPM," Journal of Finance, American Finance Association, vol. 44(2), pages 231-262, June.
    7. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2003. "The effect of experience on security analyst underreaction," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 101-116, April.
    8. Clarke, Jonathan & Subramanian, Ajay, 2006. "Dynamic forecasting behavior by analysts: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 80(1), pages 81-113, April.
    9. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    10. Abarbanell, Jeffery & Lehavy, Reuven, 2003. "Biased forecasts or biased earnings? The role of reported earnings in explaining apparent bias and over/underreaction in analysts' earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 105-146, December.
    11. Butler, Kc & Lang, Lhp, 1991. "The Forecast Accuracy Of Individual Analysts - Evidence Of Systematic Optimism And Pessimism," Journal of Accounting Research, Wiley Blackwell, vol. 29(1), pages 150-156.
    12. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    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. Abarbanell, Jeffrey S & Bernard, Victor L, 1992. "Tests of Analysts' Overreaction/Underreaction to Earnings Information as an Explanation for Anomalous Stock Price Behavior," Journal of Finance, American Finance Association, vol. 47(3), pages 1181-1207, July.
    15. Bao, Da-Hsien & Chien, Chin-Chen & Lee, Cheng-Few, 1997. "Characteristics of Earnings-Leading versus Price-Leading Firms," Review of Quantitative Finance and Accounting, Springer, vol. 8(3), pages 229-244, May.
    16. Jacob, John & Lys, Thomas Z. & Neale, Margaret A., 1999. "Expertise in forecasting performance of security analysts," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 51-82, November.
    17. Douglas T. Breeden & Michael R Gibbons & Robert H. Litzenberger, "undated". "Empirical Tests of the Consumption-Oriented CAPM," Rodney L. White Center for Financial Research Working Papers 7-89, Wharton School Rodney L. White Center for Financial Research.
    18. Stickel, Scott E, 1992. "Reputation and Performance among Security Analysts," Journal of Finance, American Finance Association, vol. 47(5), pages 1811-1836, December.
    19. Loh, Roger K. & Mian, G. Mujtaba, 2006. "Do accurate earnings forecasts facilitate superior investment recommendations?," Journal of Financial Economics, Elsevier, vol. 80(2), pages 455-483, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tanja Lorenz & Carsten Homburg, 2018. "Determinants of analysts’ revenue forecast accuracy," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 389-431, August.
    2. Hueiling Chen & Cheng-Tsu Huang & Hsiou-Wei W. Lin, 2016. "Changes in analyst following for less covered firms accompanying Regulation Fair Disclosure: the roles of ability and industry experience," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 519-541, April.

    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. Beyer, Anne & Cohen, Daniel A. & Lys, Thomas Z. & Walther, Beverly R., 2010. "The financial reporting environment: Review of the recent literature," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 296-343, December.
    2. 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.
    3. Yu, Fang (Frank), 2008. "Analyst coverage and earnings management," Journal of Financial Economics, Elsevier, vol. 88(2), pages 245-271, May.
    4. Yi Dong & Nan Hu & Xu Li & Ling Liu, 2017. "Analyst Firm Coverage and Forecast Accuracy: The Effect of Regulation Fair Disclosure," Abacus, Accounting Foundation, University of Sydney, vol. 53(4), pages 450-484, December.
    5. Peter F. Pope & Tong Wang, 2023. "Analyst ability and research effort: non-EPS forecast provision as a research quality signal," Review of Accounting Studies, Springer, vol. 28(3), pages 1263-1315, September.
    6. Hall, Jason L. & Tacon, Paul B., 2010. "Forecast accuracy and stock recommendations," Journal of Contemporary Accounting and Economics, Elsevier, vol. 6(1), pages 18-33.
    7. Danling Jiang & Alok Kumar & Kelvin K. F. Law, 2016. "Political contributions and analyst behavior," Review of Accounting Studies, Springer, vol. 21(1), pages 37-88, March.
    8. Barniv, Ran, 2009. "Does foreign investor demand for information affect forecast accuracy? Evidence from the Chinese stock markets," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 18(2), pages 101-118.
    9. Yiming Hu & Thomas Lin & Siqi Li, 2008. "An examination of factors affecting Chinese financial analysts’ information comprehension, analyzing ability, and job quality," Review of Quantitative Finance and Accounting, Springer, vol. 30(4), pages 397-417, May.
    10. Bouteska Ahmed & Regaieg Boutheina, 2017. "The accuracy of financial analysts’ earnings forecasts and the Tunisian market reliance with time," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1345186-134, January.
    11. Ioannis Ioannou & George Serafeim, 2015. "The impact of corporate social responsibility on investment recommendations: Analysts' perceptions and shifting institutional logics," Strategic Management Journal, Wiley Blackwell, vol. 36(7), pages 1053-1081, July.
    12. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    13. Huang, Allen H. & Lin, An-Ping & Zang, Amy Y., 2022. "Cross-industry information sharing among colleagues and analyst research," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    14. Frank Weikai Li, 2016. "Macro Disagreement and the Cross-Section of Stock Returns," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 6(1), pages 1-45.
    15. Truc (Peter) Thuc Do & Huai Zhang, 2020. "Peer Effects among Financial Analysts," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 358-391, March.
    16. García-Meca, Emma & Sánchez-Ballesta, Juan Pedro, 2006. "Influences on financial analyst forecast errors: A meta-analysis," International Business Review, Elsevier, vol. 15(1), pages 29-52, February.
    17. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    18. Machado, André & Lima, Fabiano Guasti, 2021. "Sell-side analyst reports and decision-maker reactions: Role of heuristics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    19. Roger K. Loh & René M. Stulz, 2018. "Is Sell‐Side Research More Valuable in Bad Times?," Journal of Finance, American Finance Association, vol. 73(3), pages 959-1013, June.
    20. Hugon, Artur & Muslu, Volkan, 2010. "Market demand for conservative analysts," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 42-57, May.

    More about this item

    Keywords

    Earnings forecasts; Persistence of performance; Information efficiency; Markov chain models; G14; C21; C22; C53; D84;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:kap:rqfnac:v:37:y:2011:i:4:p:477-507. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    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.