IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v20y2010i15p1195-1203.html
   My bibliography  Save this article

UK security analysts' idiosyncratic factors and predictive ability

Author

Listed:
  • Simon Hussain

Abstract

This is the first study to examine forecasting ability and the impact of UK analysts' idiosyncratic factors (experience, firm coverage and resources). The focus is on a sample of 21 084 annual earnings-per-share forecasts made by UK analysts for FTSE-100 companies between 1993 and 1998, derived from the I/B/E/S International database. Consistent with experimental expectations, this study finds that UK analysts' forecasting abilities are a positive function of experience and brokerage house resources, and are negatively related to extreme firm coverage. It also appears that analysts working for larger brokerage houses have greater prior experience and are less likely to have extreme firm-coverage requirements.

Suggested Citation

  • Simon Hussain, 2010. "UK security analysts' idiosyncratic factors and predictive ability," Applied Financial Economics, Taylor & Francis Journals, vol. 20(15), pages 1195-1203.
  • Handle: RePEc:taf:apfiec:v:20:y:2010:i:15:p:1195-1203
    DOI: 10.1080/09603101003800818
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603101003800818
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09603101003800818?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. 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.
    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. Shu, Yan & Broadstock, David C. & Xu, Bing, 2013. "The heterogeneous impact of macroeconomic information on firms' earnings forecasts," The British Accounting Review, Elsevier, vol. 45(4), pages 311-325.

    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. Reveley Callum & Shanaev Savva & Bin Yu & Panta Humnath & Ghimire Binam, 2023. "Analyst herding—whether, why, and when? Two new tests for herding detection in target forecast prices," Economics and Business Review, Sciendo, vol. 9(4), pages 25-55, December.
    2. Cohen, Daniel A. & Lys, Thomas Z., 2003. "A note on analysts' earnings forecast errors distribution," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 147-164, December.
    3. Jorgensen, Bjorn & Li, Jing & Sadka, Gil, 2012. "Earnings dispersion and aggregate stock returns," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 1-20.
    4. Jon Kerr & Gil Sadka & Ronnie Sadka, 2020. "Illiquidity and Price Informativeness," Management Science, INFORMS, vol. 66(1), pages 334-351, January.
    5. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    6. Iatridis, George & Valahi, Styliani, 2010. "Voluntary IAS 1 accounting disclosures prior to official IAS adoption: An empirical investigation of UK firms," Research in International Business and Finance, Elsevier, vol. 24(1), pages 1-14, January.
    7. Bradshaw, Mark T. & Richardson, Scott A. & Sloan, Richard G., 2006. "The relation between corporate financing activities, analysts' forecasts and stock returns," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 53-85, October.
    8. Ames Daniel & Graden Bryan S. & Sankara Jomo, 2019. "Who Estimates When It’s Not Required? the Case of Subrogation," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 13(1), pages 1-16, January.
    9. Bernhardt, Dan & Campello, Murillo & Kutsoati, Edward, 2006. "Who herds?," Journal of Financial Economics, Elsevier, vol. 80(3), pages 657-675, June.
    10. Li, Lin & Tong, Wilson H.S., 2018. "Information uncertainty and target valuation in mergers and acquisitions," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 84-107.
    11. Zachary Kaplan & Xiumin Martin & Yifang Xie, 2021. "Truncating Optimism," Journal of Accounting Research, Wiley Blackwell, vol. 59(5), pages 1827-1884, December.
    12. Iatridis, George, 2010. "International Financial Reporting Standards and the quality of financial statement information," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 193-204, June.
    13. Christina Dargenidou & Stuart McLeay & Ivana Raonic, 2006. "Expected earnings growth and the cost of capital: an analysis of accounting regime change in the European financial market," Abacus, Accounting Foundation, University of Sydney, vol. 42(3‐4), pages 388-414, September.
    14. Lin, Shengle & Rassenti, Stephen, 2012. "Are under- and over-reaction the same matter? Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 39-61.
    15. Cameron, Andrew & Nelson, Rohan, 2022. "Enabling Users to Evaluate the Accuracy of ABARES Agricultural Forecasts," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(7), November.
    16. Guanming He & Helen Mengbing Ren & Richard Taffler, 2020. "The impact of corporate tax avoidance on analyst coverage and forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 447-477, February.
    17. Bradshaw, Mark T., 2003. "A discussion of 'Assessing the relative informativeness and permanence of pro forma earnings and GAAP operating earnings'," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 321-335, December.
    18. Dambra, Michael & Field, Laura Casares & Gustafson, Matthew T. & Pisciotta, Kevin, 2018. "The consequences to analyst involvement in the IPO process: Evidence surrounding the JOBS Act," Journal of Accounting and Economics, Elsevier, vol. 65(2), pages 302-330.
    19. Armen Hovakimian & Ekkachai Saenyasiri, 2014. "US Analyst Regulation and the Earnings Forecast Bias around the World," European Financial Management, European Financial Management Association, vol. 20(3), pages 435-461, June.
    20. Martin Nienhaus, 2022. "Executive equity incentives and opportunistic manager behavior: new evidence from a quasi-natural experiment," Review of Accounting Studies, Springer, vol. 27(4), pages 1276-1318, December.

    More about this item

    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:taf:apfiec:v:20:y:2010:i:15:p:1195-1203. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.