The timing and value of forecast and recommendation revisions

By Zoran Ivković, Narasimhan Jegadeesh. 2004

116 citations recorded by the source corpus.

Subfields: Accounting, Finance

View Paper: https://www.semanticscholar.org/paper/6a74451f9314813979d319a11150017c66fcc019

Citations in the corpus

• Information interpretation or information discovery: which role of analysts do investors value more? (2012, unknown): “On the other hand, Ivkovic and Jegadeesh (2004) show greater market responses to revisions before earnings announcements than those after.”
• The Effectiveness of Reputation as a Disciplinary Mechanism in Sell-Side Research (2009, unknown): “Also, see Ivkovic and Jegadeesh (2004).”
• Before an Analyst Becomes an Analyst: Does Industry Experience Matter? (2015, unknown): “Second, studies by Stickel (1995), Ivkovic and Jegadeesh (2004) and others indicate that market participants systematically differentiate between analyst characteristics that proxy for analysts’ skill.”
• Corporate Social Performance, Analyst Stock Recommendations, and Firm Future Returns (2015, unknown): “Essentially, I/B/E/S provides comprehensive data on analyst recommendations, firm earnings forecasts, and other financial items for publicly traded companies (Ivkovic and Jegadeesh, 2004; Womack, 1996).”
• Investor Rewards to Climate Responsibility: Stock-Price Responses to the Opposite Shocks of the 2016 and 2020 U.S. Elections (2021, unknown): “We obtain similar results when measuring forecast revisions as the percentage change in EPS forecasts, excluding observations with negative baseline forecasts (as done, e.g., in Landier and Thesmar, 2020) or using their absolute value at the denominator (as in, e.g., Ivković and Jegadeesh, 2004).”
• Do Analysts Herd? An Analysis of Recommendations and Market Reactions (2010, unknown): “For instance, Ivkovic and Jegadeesh (2004) note that analysts’ recommendations immediately following earnings announcements are likely to be based on their interpretation of financial data that the firm announces while their recommendations at other times are likely to be based on information that t”
• Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach (2018, unknown): “…each of the top ten topics in the Capital Goods and Health Care Equipment and Services industries.7 [Insert Table 1 here] Overall, the results in Table 1 validate the effectiveness of the LDA algorithm in identifying distinct, economically meaningful topics in conference calls and analyst reports.”
• The Financial Analyst Forecasting Literature: A Taxonomy with Suggestions for Further Research (2008, unknown): “Ivkovic and Jegadeesh (2004) Archival, I/B/E/S, 1990-2002.”
• Conflicts of Interest and Stock Recommendations: The Effects of the Global Settlement and Related Regulations (2009, unknown): “Ivkovic and Jegadeesh (2005) report that a big fraction (in their sample, 20”