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New Determinants of Analysts’ Earnings Forecast Accuracy

New Determinants of Analysts’ Earnings Forecast Accuracy
Author: Tanja Klettke
Publisher: Springer Science & Business
Total Pages: 120
Release: 2014-04-28
Genre: Business & Economics
ISBN: 3658056347

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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.


The Accuracy of Analyst Forecasts

The Accuracy of Analyst Forecasts
Author: Patrick J. Butler
Publisher: diplom.de
Total Pages: 99
Release: 2002-12-04
Genre: Business & Economics
ISBN: 3832461671

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Inhaltsangabe:Abstract: This paper investigates the quality of financial analysts' earnings forecasts for companies which conducted initial public offerings (IPOs) during the years 1997 to 1999. The Neue Markt in Frankfurt offers a good setting to also study the development of a young market from the beginning of its operation onwards. I find support for the notion that initial returns and analysts' forecast accuracy are negatively related. I find that analysts' forecasts were by no means accurate. Mean forecast deviation, measured as percent deviation from actual earnings per share for the fiscal year, is 186.61 percent for the average broker. The sample is inhibited by serious availability problems, but all the same allows significant findings. Inhaltsverzeichnis:Table of Contents: 1.Introduction5 2.Literature10 2.1Banking systems the German framework10 2.2Conflict of interest as regulated in the German legal system12 2.3The quality of analysts' forecasts and conflicts of interest16 2.4The long-run underperformance phenomenon23 2.5Predicting the aftermarket performance of IPOs27 2.6Summary39 3.Data41 4.Method49 5.Empirical Results53 5.1IPOs differentiated by year of issue53 5.2Disparities of actual values58 5.3Earning per share found in annual reports as basis62 5.4IPOs differentiated by industry classification67 5.5Percentage deviations differentiated by Brokers73 6.Additional Results80 6.1Large German banks seasoned vs. IPO companies80 6.2The time factor86 6.3The relevance of accounting policy88 7.Summary and Conclusion92 8.References95


Factors Affecting the Accuracy of Analysts' Forecasts

Factors Affecting the Accuracy of Analysts' Forecasts
Author: Jahidur Md Rahman
Publisher:
Total Pages: 18
Release: 2020
Genre:
ISBN:

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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.


Forecast Accuracy of Individual Analysts

Forecast Accuracy of Individual Analysts
Author: Patricia C. O'brien
Publisher: Forgotten Books
Total Pages: 38
Release: 2016-09-26
Genre: Mathematics
ISBN: 9781333752545

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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.


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.


Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy

Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy
Author: Sebastian Gell
Publisher: Springer Science & Business Media
Total Pages: 144
Release: 2012-03-26
Genre: Business & Economics
ISBN: 3834939374

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​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?


Is There Safety in Numbers? The Effects of Forecast Accuracy and Forecast Boldness on Financial Analysts' Credibility with Investors

Is There Safety in Numbers? The Effects of Forecast Accuracy and Forecast Boldness on Financial Analysts' Credibility with Investors
Author: Kathryn Kadous
Publisher:
Total Pages: 41
Release: 2009
Genre:
ISBN:

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This paper reports the results of an experiment that examines how analyst forecast accuracy (i.e., how close an analyst's forecast is to realized earnings) and forecast boldness (i.e. how far the analyst's forecast is from the consensus forecast) affect the analyst's perceived credibility and investors' willingness to rely on and purchase the analyst's future reports. We hypothesize and find that forecast boldness magnifies the effect of forecast accuracy on these variables. That is, analysts who provide accurate, bold forecasts experience more positive consequences than those who provide accurate, non-bold forecasts, and analysts who provide inaccurate, bold forecasts experience more negative consequences than those who provide inaccurate, non-bold forecasts. We also find that these effects are not symmetric - the negative consequences of being bold and inaccurate exceed positive consequences of being bold and accurate. Our results are not sensitive to the level of the analyst's prior reputation.