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The Speed With Which Analysts Incorporate Firm-Specific and Industry Information in Their Forecasts

The Speed With Which Analysts Incorporate Firm-Specific and Industry Information in Their Forecasts
Author: Sami Keskek
Publisher:
Total Pages: 45
Release: 2019
Genre:
ISBN:

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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.


Forecast Accuracy of Individual Analysts

Forecast Accuracy of Individual Analysts
Author: Patricia C O'Brien
Publisher: Legare Street Press
Total Pages: 0
Release: 2023-07-18
Genre:
ISBN: 9781020791277

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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.


Forecast Accuracy of Individual Analysts

Forecast Accuracy of Individual Analysts
Author: Patricia C. O'Brien
Publisher: Forgotten Books
Total Pages: 36
Release: 2017-12-07
Genre: Mathematics
ISBN: 9780332528458

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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.


The Speed of Earnings Anticipation

The Speed of Earnings Anticipation
Author: Nathan T. Marshall
Publisher:
Total Pages: 58
Release: 2019
Genre:
ISBN:

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Short-term earnings news is monitored by a wide variety of firm constituents; however, our understanding of the forces that facilitate or limit the speed of earnings anticipation is limited. I create a measure of speed - inspired by the price discovery literature - that captures how quickly the daily consensus analyst earnings forecast approaches the actual earnings as the quarter unfolds. I document wide variation in the speed of earnings anticipation and examine the determinants of faster or slower earnings anticipation and the economic consequences associated with differential speed. I show that the speed of earnings anticipation is increasing in ex-ante information search and earnings information flow proxies, and decreasing in proxies for the difficulty of the forecasting task. Furthermore, I provide evidence that earnings are anticipated more quickly in bad news quarters than in good news quarters. I also show that this asymmetry in speed is decreasing as the earnings news gets large (i.e., earnings are anticipated faster as good news gets large and slower as bad news gets large). Finally, I document important market consequences - in terms of greater absolute market returns around the earnings announcement and more pronounced post-earnings announcement drift - for firm quarters with slow, relative to those with fast, speed of earnings anticipation.


Firm-specific Information Environment and Analyst Forecast

Firm-specific Information Environment and Analyst Forecast
Author: Wei Hsu (Ph.D.)
Publisher:
Total Pages: 84
Release: 2019
Genre: Business forecasting
ISBN:

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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.


Market Perceptions of Efficiency and News in Analyst Forecast Errors

Market Perceptions of Efficiency and News in Analyst Forecast Errors
Author: Gia Marie Chevis
Publisher:
Total Pages:
Release: 2003
Genre:
ISBN:

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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.


Timeliness of Analysts' Forecasts

Timeliness of Analysts' Forecasts
Author: Pervin K. Shroff
Publisher:
Total Pages: 57
Release: 2018
Genre:
ISBN:

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We examine how analysts whose forecasts lag those of timely analysts aid the price discovery process. We classify analysts as lead and follower analysts for a given firm based on the relative timeliness of their earnings forecasts over a two-year period. We find that news in forecasts of lead analysts has a higher price impact relative to that of follower analysts and this difference in impact cannot be explained by analyst reputation or experience. The price impact of follower analysts' forecasts is significant, although it dissipates as follower analysts become less timely. Moreover, we find that the forecast issued by even the least timely analyst conveys incremental information to the market. The significant market impact of follower analysts arises mostly due to the private information conveyed by their forecast and partly because their forecasts incorporate public information including their predecessor's forecast. While in general the price impact of the forecast component that mimics prior information is consistent with the post-revision drift documented by prior studies, we find that this impact is significant only when the follower analyst's forecast confirms the information conveyed by the predecessor analyst. We also find that follower analysts issue more accurate forecasts than lead analysts who appear to trade off accuracy for timeliness. Overall, we conclude that the complementary roles of timely and late forecasters combine the merits of timely and accurate information and facilitate price discovery.


How to Measure Analyst Forecast Effort

How to Measure Analyst Forecast Effort
Author: Tanja Klettke
Publisher:
Total Pages: 30
Release: 2014
Genre:
ISBN:

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We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behavior for one firm, our measure considers analyst behavior for all covered firms. Our general effort measure captures additional information about analyst effort and thus can identify accurate forecasts. We emphasize the importance of investigating analyst behavior in a larger context and argue that analysts who generally devote substantial forecast effort are also likely to devote substantial effort to a specific firm, even if this effort might not be captured by a firm-specific measure. Empirical results reveal that analysts who devote higher general forecast effort issue more accurate forecasts. Additional investigations show that analysts' career prospects improve with higher general forecast effort. Our measure improves on existing methods as it has higher explanatory power regarding differences in forecast accuracy than the commonly applied effort measure. Additionally, it can address research questions that cannot be examined with a firm-specific measure. It provides a simple but comprehensive way to identify accurate analysts.


Analyst Forecast Revisions and Market Price Formation

Analyst Forecast Revisions and Market Price Formation
Author: Cristi A. Gleason
Publisher:
Total Pages: 43
Release: 2002
Genre:
ISBN:

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We document several factors that help explain cross-sectional variations in the delayed price response to individual analyst forecast revisions. First, the market does not make a sufficient distinction between those analysts providing new information and others simply quot;herdingquot; toward the consensus. Second, the market responds more completely to quot;celebrityquot; analysts, and under-weights revisions by obscure, but highly accurate, analysts. Third, controlling for firm size, the market price adjustment is more complete for firms with wider analyst coverage. Moreover, a significant portion of the delayed price response is corrected around future earnings news events, particularly forecast revisions by other analysts. Taken together, these findings show that qualitative aspects of an earnings signal can affect the speed and efficacy of the price formation process.