How Important is Past Analyst Forecast Accuracy? PDF Download
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Author: Lawrence D. Brown
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
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Book Description
The Wall Street Journal rates analysts on the basis of past earnings forecast accuracy. These analyst ratings are important to practitioners who believe that past accuracy portends future accuracy. An alternative way to assess the likelihood of quot;morequot; or quot;lessquot; accurate forecasts in the future is to model the analyst characteristics related to the accuracy of individual analysts' earnings forecasts. No evidence yet exists, however, as to whether an analyst characteristics model is better than a past accuracy model for distinguishing more accurate from less accurate earnings forecasters. I show that a simple model of past accuracy performs as well for this purpose as a more complex model based on analyst characteristics. The findings are robust to annual and quarterly forecasts and pertain to estimation and prediction tests. The evidence suggests that practitioners' focus on past accuracy is not misplaced: It is as important as five analyst characteristics combined.
Author: Lawrence D. Brown
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
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Book Description
The Wall Street Journal rates analysts on the basis of past earnings forecast accuracy. These analyst ratings are important to practitioners who believe that past accuracy portends future accuracy. An alternative way to assess the likelihood of quot;morequot; or quot;lessquot; accurate forecasts in the future is to model the analyst characteristics related to the accuracy of individual analysts' earnings forecasts. No evidence yet exists, however, as to whether an analyst characteristics model is better than a past accuracy model for distinguishing more accurate from less accurate earnings forecasters. I show that a simple model of past accuracy performs as well for this purpose as a more complex model based on analyst characteristics. The findings are robust to annual and quarterly forecasts and pertain to estimation and prediction tests. The evidence suggests that practitioners' focus on past accuracy is not misplaced: It is as important as five analyst characteristics combined.
Author: Patricia C. O'brien
Publisher: Forgotten Books
ISBN: 9781333752545
Category : Mathematics
Languages : en
Pages : 38
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Book Description
Excerpt from Forecast Accuracy of Individual Analysts: A Nine-Industry Study Second, because the error terms in the fixed effects model are severely non normal, a non-parametric approach is taken. The non-parametric tests compare, for each industry, the observed distribution of analysts' average (through time) ranks with the distribution which would be expected if all analysts are alike, and each year is an independent observation. The non-parametric tests fail to reject the hypothesis that the observed distribution is identical to the expected distribution, in eight of the nine industries. Continuing research will investigate the source of the differences in the single industry in which the null hypothesis is rejected. 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: 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: Jahidur Md Rahman
Publisher:
ISBN:
Category :
Languages : en
Pages : 18
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Book Description
This study conducts a comprehensive review of the literature published during 1996- 2017 to identify the factors that affect the accuracy of financial analysts' forecasts. We organize our review around three main groups, namely, (a) drivers of analyst forecast accuracy, (b) quality financial reporting, and (c) accounting standards. Among the several factors found, some factors (experience of the analyst, earnings quality, audit quality, IFRS adoption, and annual report readability) have a positive relationship with the accuracy of analysts' forecasts while others (politically connected firms, firms audited by Non-Big 4, and international GAAP differences) have a negative relationship. Our findings contribute to future research by examining the factors affecting analyst forecast accuracy from different perspectives, which will prove to be useful for academicians, regulators, investors, and financial analysts.
Author: Tanja Klettke
Publisher: Springer Science & Business
ISBN: 3658056347
Category : Business & Economics
Languages : en
Pages : 120
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Book Description
Financial analysts provide information in their research reports and thereby help forming expectations of a firm’s future business performance. Thus, it is essential to recognize analysts who provide the most precise forecasts and the accounting literature identifies characteristics that help finding the most accurate analysts. Tanja Klettke detects new relationships and identifies two new determinants of earnings forecast accuracy. These new determinants are an analyst’s “general forecast effort” and the “number of supplementary forecasts”. Within two comprehensive empirical investigations she proves these measures’ power to explain accuracy differences. Tanja Klettke’s research helps investors and researchers to identify more accurate earnings forecasts.
Author: Wenjuan Xie
Publisher:
ISBN:
Category :
Languages : en
Pages : 138
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Book Description
Author: PATRICIA C. O'BRIEN
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
Author: Henock Louis
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We analyze whether analysts sacrifice forecast accuracy for informativeness by examining: (1) the association between analysts' deviations from management guidance and earnings management; (2) the effect of the deviations on analyst forecast accuracy; and (3) the effect of the deviations on prices. The evidence indicates that analysts apparently deviate from management guidance to correct for perceived earnings management. Although the deviations reduce the analysts' forecast accuracy, they improve the informativeness of their earnings estimates. More specifically, they bring the analysts' estimates closer to the true (unmanaged) earnings number and reduce mispricing. An implicit assumption in the literature is that more accurate analyst forecasts (i.e., earnings estimates that are closer to the actual reported earnings) are better for investors, and that analysts' primary objective is to forecast the reported (managed) earnings number accurately. Our analysis suggests that this is not necessarily the case and that an inaccurate forecast can actually be more informative than an accurate one. Prior studies on analyst deviations from management guidance focus on analysts' incentives to provide earnings estimates that managers can beat. These studies implicitly assume that analysts side with management against the interests of their clients. Our analysis indicates that analysts could also deviate from management guidance to provide useful valuation information to their clients.
Author: Sebastian Gell
Publisher: Springer Science & Business Media
ISBN: 3834939374
Category : Business & Economics
Languages : en
Pages : 144
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Book Description
Earnings forecasts are ubiquitous in today’s financial markets. They are essential indicators of future firm performance and a starting point for firm valuation. Extremely inaccurate and overoptimistic forecasts during the most recent financial crisis have raised serious doubts regarding the reliability of such forecasts. This thesis therefore investigates new determinants of forecast errors and accuracy. In addition, new determinants of forecast revisions are examined. More specifically, the thesis answers the following questions: 1) How do analyst incentives lead to forecast errors? 2) How do changes in analyst incentives lead to forecast revisions?, and 3) What factors drive differences in forecast accuracy?
Author: Ruth Ann McEwen
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In 1994, the AICPA?s Special Committee on Financial Reporting recommended that participants in business reporting can improve the reporting process by focusing on user needs and finding cost-effective ways of aligning business reports with those needs. The Committee noted that professional financial analysts are among the most important users of business reporting and that an examination of their accounting information needs would provide useful insight to the profession. Further, the Committee suggested that an investigation of the link between information usage and decision quality could provide a starting point for determining whether currently reported business information is relevant. The current study examines the relation between the forecast accuracy of financial analysts and specific accounting information items used during financial statement analysis. Findings indicate that relatively more accurate analysts tend to emphasize different information items prior to issuing an earnings forecast than do less accurate analysts. Study results also provide evidence of an association between specific accounting information items and decision quality.
