IDEAS home Printed from https://ideas.repec.org/a/bla/jbfnac/v30y2003i5-6p749-770.html
   My bibliography  Save this article

The Quality of Analysts’ Earnings Forecasts During the Asian Crisis: Evidence from Singapore

Author

Listed:
  • Roger K. Loh
  • Mujtaba Mian

Abstract

We bring together three disparate strands of literature to develop a comprehensive empirical framework to examine the efficiency of security analysts' earnings forecasts in Singapore. We focus specifically on how the increased uncertainty and the negative market sentiment during the period of the Asian crisis affected the quality of earnings forecasts. While we find no evidence of inefficiencies in the pre‐crisis period, our results suggest that after the onset of the crisis, analysts (1) issued forecasts that were systematically upward biased; (2) did not fully incorporate the (negative) earnings‐related news; and (3) predicted earnings changes which proved too extreme.

Suggested Citation

  • Roger K. Loh & Mujtaba Mian, 2003. "The Quality of Analysts’ Earnings Forecasts During the Asian Crisis: Evidence from Singapore," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 749-770, June.
  • Handle: RePEc:bla:jbfnac:v:30:y:2003:i:5-6:p:749-770
    DOI: 10.1111/1468-5957.05443
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1468-5957.05443
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1468-5957.05443?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
    ---><---

    References listed on IDEAS

    as
    1. Amir, Eli & Ganzach, Yoav, 1998. "Overreaction and underreaction in analysts' forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 37(3), pages 333-347, November.
    2. Kang, Sh & Obrien, J & Sivaramakrishnan, K, 1994. "Analysts Interim Earnings Forecasts - Evidence On The Forecasting Process," Journal of Accounting Research, Wiley Blackwell, vol. 32(1), pages 103-112.
    3. Bernard, Vl, 1987. "Cross-Sectional Dependence And Problems In Inference In Market-Based Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 1-48.
    4. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    5. Stickel, Se, 1990. "Predicting Individual Analyst Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 28(2), pages 409-417.
    6. 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.
    7. John C. Easterwood & Stacey R. Nutt, 1999. "Inefficiency in Analysts' Earnings Forecasts: Systematic Misreaction or Systematic Optimism?," Journal of Finance, American Finance Association, vol. 54(5), pages 1777-1797, October.
    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. Siyi Liu & Xin Liu & Chuancai Zhang & Lingli Zhang, 2023. "Institutional and individual investors' short‐term reactions to the COVID‐19 crisis in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4333-4355, December.
    2. Kepsu, Mikko & Schadewitz, Hannu & Vieru, Markku, 2008. "Performance of Analyst's Earnings Forecasting - Evidence from the Finnish Emerging Markets 1987-2005," Discussion Papers 1160, The Research Institute of the Finnish Economy.
    3. Leif W. Lundmark & Chong Oh & J. Cameron Verhaal, 2017. "A little Birdie told me: Social media, organizational legitimacy, and underpricing in initial public offerings," Information Systems Frontiers, Springer, vol. 19(6), pages 1407-1422, December.
    4. Osman Yukselturk & Jon Tucker, 2015. "The impact of analyst sentiment on UK stock recommendations and target prices," Accounting and Business Research, Taylor & Francis Journals, vol. 45(6-7), pages 869-904, December.
    5. de Zwart, G.J. & van Dijk, D.J.C., 2008. "The Inefficient Use of Macroeconomic Information in Analysts' Earnings Forecasts in Emerging Markets," ERIM Report Series Research in Management ERS-2008-007-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Chang-Yi Hsu & Jean Yu & Shiow-Ying Wen, 2013. "The Analysts' Forecast of IPO Firms during the Global Financial Crisis," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 673-682.
    7. Leif W. Lundmark & Chong Oh & J. Cameron Verhaal, 0. "A little Birdie told me: Social media, organizational legitimacy, and underpricing in initial public offerings," Information Systems Frontiers, Springer, vol. 0, pages 1-16.

    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. Charles G. Ham & Zachary R. Kaplan & Zawadi R. Lemayian, 2022. "Rationalizing forecast inefficiency," Review of Accounting Studies, Springer, vol. 27(1), pages 313-343, March.
    2. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    3. Raj Aggarwal & Brian M. Lucey & Fergal A. O'Connor, 2014. "Rationality in Precious Metals Forward Markets: Evidence of Behavioural Deviations in the Gold Markets," The Institute for International Integration Studies Discussion Paper Series iiisdp462, IIIS.
    4. Taoufik Elkemali, 2023. "Uncertainty and Financial Analysts’ Optimism: A Comparison between High-Tech and Low-Tech European Firms," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    5. Po‐Chang Chen & Ganapathi S. Narayanamoorthy & Theodore Sougiannis & Hui Zhou, 2020. "Analyst underreaction and the post‐forecast revision drift," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(9-10), pages 1151-1181, October.
    6. Ciccone, Stephen J., 2005. "Trends in analyst earnings forecast properties," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 1-22.
    7. Robert G. Biscontri, 2012. "A Radial Basis Function Approach To Earnings Forecast," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 1-18, January.
    8. 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.
    9. Leppin, Julian Sebstian, 2014. "The Relation Between Overreaction in Forecasts and Uncertainty: A Nonlinear Approach," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100284, Verein für Socialpolitik / German Economic Association.
    10. Kirsten M. Ely & Vivek Mande, 1996. "The Interdependent Use of Earnings and Dividends in Financial Analysts' Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 13(2), pages 435-456, September.
    11. Anwer S. Ahmed & Minsup Song & Douglas E. Stevens, 2009. "Earnings characteristics and analysts’ differential interpretation of earnings announcements: An empirical analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(2), pages 223-246, June.
    12. Anna M. Cianci & Satoris S. Culbertson, 2010. "The Impact of Motivational and Cognitive Factors on Optimistic Earnings Forecasts," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 11, Edward Elgar Publishing.
    13. Huang, Lixin & Li, Wei & Wang, Hong & Wu, Liansheng, 2022. "Stock dividend and analyst optimistic bias in earnings forecast," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 643-659.
    14. Philip L. Baird, 2020. "Do investors recognize biases in securities analysts’ forecasts?," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 623-634, October.
    15. Leppin, Julian Sebastian, 2014. "The relation between overreaction in forecasts and uncertainty: A nonlinear approachvon," HWWI Research Papers 158, Hamburg Institute of International Economics (HWWI).
    16. X. Frank Zhang, 2006. "Information Uncertainty and Analyst Forecast Behavior," Contemporary Accounting Research, John Wiley & Sons, vol. 23(2), pages 565-590, June.
    17. Clatworthy, Mark A. & Peel, David A. & Pope, Peter F., 2007. "Evaluating the properties of analysts’ forecasts: A bootstrap approach," The British Accounting Review, Elsevier, vol. 39(1), pages 3-13.
    18. Azzi, Sarah & Bird, Ron, 2005. "Prophets during boom and gloom downunder," Global Finance Journal, Elsevier, vol. 15(3), pages 337-367, February.
    19. Stanimir Markov & Ane Tamayo, 2006. "Predictability in Financial Analyst Forecast Errors: Learning or Irrationality?," Journal of Accounting Research, Wiley Blackwell, vol. 44(4), pages 725-761, September.
    20. Ackert, Lucy F. & Church, Bryan K. & Zhang, Ping, 2004. "Asset prices and informed traders' abilities: Evidence from experimental asset markets," Accounting, Organizations and Society, Elsevier, vol. 29(7), pages 609-626, October.

    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:bla:jbfnac:v:30:y:2003:i:5-6:p:749-770. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0306-686X .

    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.