IDEAS home Printed from https://ideas.repec.org/a/taf/eurjfi/v13y2007i2p105-122.html
   My bibliography  Save this article

Earning Forecast Error in US and European Stock Markets

Author

Listed:
  • Michele Bagella
  • Leonardo Becchetti
  • Rocco Ciciretti

Abstract

The paper investigates the dynamics and determinants of the earning forecast bias in two (US and Eurozone) stock samples matched by size and industry affiliation. Evidence is found that the European bias is significantly higher in absolute terms, irrespective of the year and the distance from the release date, with the exception of the 1997-2000 period in which US stocks are more optimistically valued. Cross-market differences persist when they are regressed, in a panel GMM estimate, on various controls such as the number of individual forecasts and their standard deviation for any considered stock, with the latter being significantly lower in the US market. Finally, it is observed that a convergence process is at work in both markets, with the bias becoming progressively lower as the release date gets closer.

Suggested Citation

  • Michele Bagella & Leonardo Becchetti & Rocco Ciciretti, 2007. "Earning Forecast Error in US and European Stock Markets," The European Journal of Finance, Taylor & Francis Journals, vol. 13(2), pages 105-122.
  • Handle: RePEc:taf:eurjfi:v:13:y:2007:i:2:p:105-122
    DOI: 10.1080/13518470600762507
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/13518470600762507
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13518470600762507?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. Krigman, Laurie & Shaw, Wayne H. & Womack, Kent L., 2001. "Why do firms switch underwriters?," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 245-284, May.
    2. Michael P. Keane & David E. Runkle, 1998. "Are Financial Analysts' Forecasts of Corporate Profits Rational?," Journal of Political Economy, University of Chicago Press, vol. 106(4), pages 768-805, August.
    3. Batchelor, Roy & Dua, Pami, 1991. "Blue Chip Rationality Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(4), pages 692-705, November.
    4. Bagella, Michele & Becchetti, Leonardo & Carpentieri, Andrea, 2000. ""The first shall be last". Size and value strategy premia at the London Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 24(6), pages 893-919, June.
    5. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    6. John Capstaff & Krishna Paudyal & William Rees, 2001. "A Comparative Analysis of Earnings Forecasts in Europe," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(5‐6), pages 531-562, June.
    7. Haitao Li & Yuewu Xu, 2002. "Survival Bias and the Equity Premium Puzzle," Journal of Finance, American Finance Association, vol. 57(5), pages 1981-1995, October.
    8. Bagella, Michele & Becchetti, Leonardo & Adriani, Fabrizio, 2005. "Observed and "fundamental" price-earning ratios: A comparative analysis of high-tech stock evaluation in the US and in Europe," Journal of International Money and Finance, Elsevier, vol. 24(4), pages 549-581, June.
    9. Edwin J. Elton & Martin J. Gruber, 1972. "Earnings Estimates and the Accuracy of Expectational Data," Management Science, INFORMS, vol. 18(8), pages 409-424, April.
    10. Clare, A. D. & Smith, P. N. & Thomas, S. H., 1997. "UK stock returns and robust tests of mean variance efficiency," Journal of Banking & Finance, Elsevier, vol. 21(5), pages 641-660, May.
    11. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    12. K. Geert Rouwenhorst, 1998. "International Momentum Strategies," Journal of Finance, American Finance Association, vol. 53(1), pages 267-284, February.
    13. J. G. Cragg & Burton G. Malkiel, 1968. "The Consensus And Accuracy Of Some Predictions Of The Growth Of Corporate Earnings," Journal of Finance, American Finance Association, vol. 23(1), pages 67-84, March.
    14. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    15. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    16. Daniel Kahneman & Dan Lovallo, 1993. "Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking," Management Science, INFORMS, vol. 39(1), pages 17-31, January.
    17. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    18. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    19. Terence Lim, 2001. "Rationality and Analysts' Forecast Bias," Journal of Finance, American Finance Association, vol. 56(1), pages 369-385, February.
    20. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Flora Muiño & Marco Trombetta, 2009. "Does graph disclosure bias reduce the cost of equity capital?," Accounting and Business Research, Taylor & Francis Journals, vol. 39(2), pages 83-102.

    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. Yan Chen & Michael Song, 2022. "The persistence and dynamics of new venture growth," Small Business Economics, Springer, vol. 58(1), pages 303-322, January.
    2. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, capital flight and industrialisation in Africa," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-22, December.
    3. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    4. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    5. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    6. Simplice A. Asongu & Jacinta C. Nwachukwu, 2018. "Increasing Foreign Aid for Inclusive Human Development in Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 443-466, July.
    7. Ndoya, Hermann & Okere, Donald & Belomo, Marie laure & Atangana, Melissa, 2023. "Does ICTs decrease the spread of informal economy in Africa?," Telecommunications Policy, Elsevier, vol. 47(2).
    8. Shrabani Saha & Kunal Sen, 2019. "The corruption-growth relationship: Do political institutions matter?," WIDER Working Paper Series wp-2019-65, World Institute for Development Economic Research (UNU-WIDER).
    9. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    10. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    11. Qu, Guangjun & Sylwester, Kevin & Wang, Feng, 2016. "Anticorruption and Growth: Evidence from China," MPRA Paper 72190, University Library of Munich, Germany.
    12. Behzadan, Nazanin & Chisik, Richard & Onder, Harun & Battaile, Bill, 2017. "Does inequality drive the Dutch disease? Theory and evidence," Journal of International Economics, Elsevier, vol. 106(C), pages 104-118.
    13. Diego E. Vacaflores, 2011. "Was Latin America Correct In Relying In Foreign Direct Investment To Improve Employment Rates?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(2).
    14. Ayberk SEKER & Oktay Kaan HÃœGÃœL, 2021. "How Trade Wars Affect Exports of the Belt and Road Countries: New Evidence from Dynamic Panel Data Analysis," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 6(1), pages 82-98, June.
    15. Simplice Asongu & Rexon Nting, 2021. "The role of finance in inclusive human development in Africa revisited," Journal of Economic and Administrative Sciences, Emerald Group Publishing Limited, vol. 38(2), pages 345-370, February.
    16. Tamazian, Artur & Bhaskara Rao, B., 2010. "Do economic, financial and institutional developments matter for environmental degradation? Evidence from transitional economies," Energy Economics, Elsevier, vol. 32(1), pages 137-145, January.
    17. Asongu, Simplice & Nwachukwu, Jacinta C., 2015. "Finance and Inclusive Human Development: Evidence from Africa," MPRA Paper 71787, University Library of Munich, Germany.
    18. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The role of governance in mobile phones for inclusive human development in Sub-Saharan Africa," Technovation, Elsevier, vol. 55, pages 1-13.
    19. Annita Nugent & Ho Fai Chan & Uwe Dulleck, 2022. "Government funding of university-industry collaboration: exploring the impact of targeted funding on university patent activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 29-73, January.
    20. Valeria Costantini & Francesco Crespi, 2015. "European enlargement policy, technological capabilities and sectoral export dynamics," The Journal of Technology Transfer, Springer, vol. 40(1), pages 25-69, February.

    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:eurjfi:v:13:y:2007:i:2:p:105-122. 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/REJF20 .

    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.