Analysts' Forecasts and the Broker Relationship
AbstractAnalysts' ability to forecast earnings per share has been the subject of considerable debate. A concern highlighted in previous research is the agency problem which may arise when analysts have a close working relationship with the firms for which they are providing forecasts. This paper provides evidence that this relationship does not improve the accuracy of the earnings forecasts, but stimulates optimistic forecasts. In addition, the paper examines whether firm size is a factor in forecast accuracy or bias. Copyright Blackwell Publishers Ltd 2001.
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Journal of Business Finance & Accounting.
Volume (Year): 28 (2001-09)
Issue (Month): 7&8 ()
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0306-686X
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- Ramond, Olivier & Casta, Jean-François & Ngobo, Paul-Valentin, 2009. "Customer satisfaction and financial analysts earnings forecast errors," Economics Papers from University Paris Dauphine 123456789/3185, Paris Dauphine University.
- Leonardo Becchetti & Rocco Ciciretti & Alessandro Giovannelli, 2012.
"Corporate Social Responsibility and Earnings Forecasting Unbiasedness,"
CEIS Research Paper
233, Tor Vergata University, CEIS, revised 08 Feb 2013.
- Becchetti, Leonardo & Ciciretti, Rocco & Giovannelli, Alessandro, 2013. "Corporate social responsibility and earnings forecasting unbiasedness," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3654-3668.
- Jean-François Casta & Olivier Ramond & Paul-Valentin Ngobo, 2009. "Does Customer Satisfaction lead to Accurate Earnings Forecasts?," Post-Print halshs-00680002, HAL.
- 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.
- Martin Wallmeier, 2005. "Analysts’ Earnings Forecasts for DAX100 Firms During the Stock Market Boom of the 1990s," Financial Markets and Portfolio Management, Springer, vol. 19(2), pages 131-151, August.
- 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.
- Paul-Valentin Ngobo & Jean-François Casta & Olivier Ramond, 2012. "Is customer satisfaction a relevant metric for financial analysts?," Post-Print halshs-00680003, HAL.
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