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Assessing Methods of Identifying Management Forecasts: CIG vs. Researcher Collected


Elizabeth Chuk


University of Southern California

Dawn A. Matsumoto


University of Washington - Department of Accounting

Gregory S. Miller


University of Michigan - Ross School of Business

June 25, 2012


Abstract:     
This paper examines the characteristics of management forecasts available on Thomson First Call’s Company Issued Guidance (CIG) database relative to a sample of forecasts hand-collected through a search of company press releases. Due to the significantly lower cost of using CIG (relative to hand-collecting data), academics have increasingly relied on this database as a source of management forecasts. However, it is important for researchers to consider the properties of this database (such as coverage, accuracy, and breadth) when evaluating whether it is an appropriate data source for their study. Overall, our results suggest systematic differences between forecasts reported on CIG and forecasts gathered from company press releases. We suggest several sample criteria that will remove or mitigate these biases.

Number of Pages in PDF File: 54

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Date posted: March 2, 2010 ; Last revised: June 29, 2012

Suggested Citation

Chuk, Elizabeth, Matsumoto, Dawn A. and Miller, Gregory S., Assessing Methods of Identifying Management Forecasts: CIG vs. Researcher Collected (June 25, 2012). Available at SSRN: http://ssrn.com/abstract=1446978 or http://dx.doi.org/10.2139/ssrn.1446978

Contact Information

Elizabeth Chuk (Contact Author)
University of Southern California ( email )
Los Angeles, CA 90089
United States
Dawn Matsumoto
University of Washington - Department of Accounting ( email )
224 Mackenzie Hall, Box 353200
Seattle, WA 98195-3200
United States
206-543-4454 (Phone)
206-685-9392 (Fax)
Gregory S. Miller
University of Michigan - Ross School of Business ( email )
701 Tappan Street
Ann Arbor, MI 48109
United States
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