The Speed With Which Analysts Incorporate Firm-Specific and Industry Information in Their Forecasts PDF Download
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Author: Sami Keskek
Publisher:
ISBN:
Category :
Languages : en
Pages : 45
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Book Description
We separate analyst forecast revisions into components representing industry-wide and firm-specific news. Using the relation between analyst forecast revisions and upcoming news to estimate how completely analysts incorporate their private information in their forecasts, we show that analysts incorporate a smaller proportion of industry-wide news than firm-specific news in their forecasts, particularly when the underlying news is bad. Post-forecast-revision drift is strongly associated with the private industry-wide information that analysts withhold from their forecast revisions. Furthermore, analysts' information withholding varies predictably with their incentives. Unlike prior research that attributes post-forecast revision drift to delayed market response to news in forecast revisions, our findings suggest that the drift arises because investors are unable to anticipate the news that analysts withhold from their forecast revisions. Our study sheds light on analysts' role in conveying firm-specific and industry-wide news to investors and on the implications for post-forecast-revision drift.
Author: Sami Keskek
Publisher:
ISBN:
Category :
Languages : en
Pages : 45
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Book Description
We separate analyst forecast revisions into components representing industry-wide and firm-specific news. Using the relation between analyst forecast revisions and upcoming news to estimate how completely analysts incorporate their private information in their forecasts, we show that analysts incorporate a smaller proportion of industry-wide news than firm-specific news in their forecasts, particularly when the underlying news is bad. Post-forecast-revision drift is strongly associated with the private industry-wide information that analysts withhold from their forecast revisions. Furthermore, analysts' information withholding varies predictably with their incentives. Unlike prior research that attributes post-forecast revision drift to delayed market response to news in forecast revisions, our findings suggest that the drift arises because investors are unable to anticipate the news that analysts withhold from their forecast revisions. Our study sheds light on analysts' role in conveying firm-specific and industry-wide news to investors and on the implications for post-forecast-revision drift.
Author: Khondkar E. Karim
Publisher: Emerald Group Publishing
ISBN: 1800710143
Category : Business & Economics
Languages : en
Pages : 113
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Book Description
Advances in Accounting Behavioral Research promotes research across all areas of accounting, incorporating theory from, and contributing knowledge to, the fields of applied psychology, sociology, management science, ethics and economics.
Author: Wei Hsu (Ph.D.)
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 84
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Book Description
I examine how firm-specific private and public information affect analyst forecast revisions. I find that when managers easily beat (struggle to meet) the consensus forecasts in the previous quarter, financial analysts revise their earnings forecasts upward (downward). The revision magnitudes are higher when there is more private information. Similarly, I find that when managers provide upward (downward) earnings guidance, analysts revise their forecasts upward (downward) more when there is more private information. In contrast, the revision magnitudes are lower when there is more public information. Additionally, I find that the magnitudes of analysts' downward revisions increase with private information prior to the stock option grant dates. I attribute these results to the analysts' dependence on managers in gleaning relevant private information. The effect of private information is smaller for firms covered by star analysts, consistent with star analysts acting as sophisticated skeptics and being more confident in their forecasts than other analysts. Further, for well-governed firms, upward revisions for positive earnings surprises are smaller when there is more private information. This is consistent with stronger governance attenuating analysts' concerns about firms' earnings quality, which in turn increases their reliance on public earnings numbers and reduces their need to accommodate managers for private information. Finally, I find that private information is negatively associated with target price forecast accuracy, and positively associated with target price forecast optimism. These results suggest that greater information asymmetry adversely affects forecast accuracy and creates incentives for analysts to appease managers to access private information.
Author: Patricia C. O'Brien
Publisher: Forgotten Books
ISBN: 9780332528458
Category : Mathematics
Languages : en
Pages : 36
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Book Description
Excerpt from Forecast Accuracy of Individual Analysts: A Nine-Industry Study Current databases of analysts' forecasts of corporate earnings include predictions from thousands of individuals employed at hundreds of financial service institutions. The purpose of this paper is to analyze whether it is possible to distinguish forecasters with superior ability on the basis of ex Egg; forecast accuracy from panel data. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author: PATRICIA C. O'BRIEN
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
Author: Iain Pardoe
Publisher: John Wiley & Sons
ISBN: 1118345045
Category : Mathematics
Languages : en
Pages : 319
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Book Description
Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.
Author: Patricia C O'Brien
Publisher: Legare Street Press
ISBN: 9781020791277
Category :
Languages : en
Pages : 0
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Book Description
This book provides a detailed analysis of the accuracy of forecasts made by individual analysts across nine different industries. It explores the factors that contribute to forecast accuracy and provides insights into how these factors can be used to improve forecasting performance. The author, Patricia C. O'Brien, is a well-respected economist and her research has significant implications for businesses and investors who rely on forecasts in their decision-making processes. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Gia Marie Chevis
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Financial analysts are considered inefficient when they do not fully incorporate relevant information into their forecasts. In this dissertation, I investigate differences in the observable efficiency of analysts' earnings forecasts between firms that consistently meet or exceed analysts' earnings expectations and those that do not. I then analyze the extent to which the market incorporates this (in)efficiency into its earnings expectations. Consistent with my hypotheses, I find that analysts are relatively less efficient with respect to prior returns for firms that do not consistently meet expectations than for firms that do follow such a strategy, especially when prior returns convey bad news. However, forecast errors for firms that consistently meet expectations do not appear to be serially correlated to a greater extent than those for firms that do not consistently meet expectations. It is not clear whether the market considers such inefficiency when setting its own expectations. While the evidence suggests they may do so in the context of a shorter historical pattern of realized forecast errors, other evidence suggests they may not distinguish between predictable and surprise components of forecast error when the historical forecast error pattern is more established.
Author: Tom Lott
Publisher: Infobase Learning
ISBN: 1581319061
Category : Banks and banking
Languages : en
Pages : 140
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Book Description
Provides information on investment banking, covering the basics of financial markets, interviews, career paths, and job responsibilities.
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Author:
Publisher:
ISBN:
Category : Electric Utilities
Languages : en
Pages : 492
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Book Description
