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An Empirical Study Of Financial Analysts Earnings Forecast Accuracy
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Book Synopsis An Empirical Study of Financial Analysts Earnings Forecast Accuracy by : Andrew Stotz
Download or read book An Empirical Study of Financial Analysts Earnings Forecast Accuracy written by Andrew Stotz and published by . This book was released on 2017 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 12 years, financial analysts across the world have been optimistically wrong with their 12-month earnings forecasts by 25.3%. This study may be the first of its kind to assess analyst earnings forecast accuracy at all listed companies across the globe, covering 70 countries. A review of prior research shows little uniformity in the preparation of the data set, yet differences in how outliers are treated, for example, can create substantially different results. This research lays out six specific steps to prepare the data set before any analysis is done.Three main conclusions come from this research: First, analyst earnings forecasts globally were 25.3% optimistically wrong, meaning on average, analysts started each year forecasting company profits of US$125, but 12 months later that company reported profits of US$100. Second, analysts had a harder time forecasting earnings for companies in emerging markets, where they were 35% optimistically wrong. Third, that analyst optimism mainly occurred when the companies they forecasted experienced very low levels of actual earnings growth, analysts did not make an equal, but opposite error for fast growth companies.
Book Synopsis New Determinants of Analysts’ Earnings Forecast Accuracy by : Tanja Klettke
Download or read book New Determinants of Analysts’ Earnings Forecast Accuracy written by Tanja Klettke and published by Springer Science & Business. This book was released on 2014-04-28 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis An Empirical Investigation of Bias in Analysts' Earnings Forecasts by : Hakan Saraoglu
Download or read book An Empirical Investigation of Bias in Analysts' Earnings Forecasts written by Hakan Saraoglu and published by . This book was released on 1996 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Financial Analysts' Forecasts and Stock Recommendations by : Sundaresh Ramnath
Download or read book Financial Analysts' Forecasts and Stock Recommendations written by Sundaresh Ramnath and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Analysts' Forecasts and Stock Recommendations reviews research related to the role of financial analysts in the allocation of resources in capital markets. The authors provide an organized look at the literature, with particular attention to important questions that remain open for further research. They focus research related to analysts' decision processes and the usefulness of their forecasts and stock recommendations. Some of the major surveys were published in the early 1990's and since then no less than 250 papers related to financial analysts have appeared in the nine major research journals that we used to launch our review of the literature. The research has evolved from descriptions of the statistical properties of analysts' forecasts to investigations of the incentives and decision processes that give rise to those properties. However, in spite of this broader focus, much of analysts' decision processes and the market's mechanism of drawing a useful consensus from the combination of individual analysts' decisions remain hidden in a black box. What do we know about the relevant valuation metrics and the mechanism by which analysts and investors translate forecasts into present equity values? What do we know about the heuristics relied upon by analysts and the market and the appropriateness of their use? Financial Analysts' Forecasts and Stock Recommendations examines these and other questions and concludes by highlighting area for future research.
Book Synopsis Which Matters? Accuracy or Boldness? Analysts Earnings Forecast and Institutional Holdings by : Min-Hsien Chiang
Download or read book Which Matters? Accuracy or Boldness? Analysts Earnings Forecast and Institutional Holdings written by Min-Hsien Chiang and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper aims to investigate the effect of financial analysts' earnings forecast on the institutional trading. In specific, we address three issues regarding the effect of financial analysts earnings forecast on the institutional holdings: (1) Do institutional investors pay more attention and more sensitive to analyst earnings forecast with higher forecast accuracy? (2) Do institutional investors prefer analysts with higher accuracy on earnings forecast? (3) Do institutional investors prefer analysts with bold attitude toward earnings forecast? Firstly, our empirical results show that institutional investors do pay attention to the accuracy of financial analysts earnings forecast. That is, firms with higher accuracy of analysts' earnings forecast tend to attract more institutional investors' attention and thus higher institutional holdings. Secondly, our results evidence that institutional investors prefer analysts with higher accuracy in their earnings forecast. That means institutional investors tend to follow more closely those analysts whose earnings forecasts are more accurate. Finally, we find that institutional investors in general are indifferent to the boldness of analysts earnings forecast. However, institutional investors will pay more attention and follow more closely those analysts whose earnings forecasts are not only accurate but also close to the consensus.
Book Synopsis A Multivariate Analysis of Earnings Forecasts Generated by Financial Analysts and Univariate Time Series Models by : William S. Hopwood
Download or read book A Multivariate Analysis of Earnings Forecasts Generated by Financial Analysts and Univariate Time Series Models written by William S. Hopwood and published by . This book was released on 1978 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study provides evidence on the relative accuracy of forecasts of earnings generated from five sources including statistical models and financial analysts. The statistical models were chosen on the basis of their usage in recent studies in the literature. The results indicate that the five types of forecasts are not significantly different using a multivariate testing procedure.
Book Synopsis Proximity to Hubs of Expertise in Financial Analyst Forecast Accuracy by : Elisa Cavezzali
Download or read book Proximity to Hubs of Expertise in Financial Analyst Forecast Accuracy written by Elisa Cavezzali and published by . This book was released on 2013 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates whether the geographical proximity of financial analysts to hubs of information and expertise can influence their forecasting accuracy. Recent studies show that the financial analyst forecasting process show a systematic difference in earnings forecast accuracy dependent on the geographical distance of analysts from the companies which they follow. The literature argues that local analysts issue more accurate forecasts because they have an informational advantage over analysts who are further away. Industrial centres can constitute important knowledge spillovers by creating formal and informal networks amongst firms and higher education and research institutions. In such a hub, information can easily flow and propagate. Our hypothesis is that physical proximity to these hubs, and not to the companies they follow, is an advantage for financial analysts, leading to the issue of more accurate forecasts. Using a sample of 205 observations related to 33 firms, across seven countries and ten sectors, our results are consistent with the hypothesis. Even though preliminary, and probably in part biased by sample selection issues, overall, the empirical evidence confirms the benefit of being part of a network, formal or informal, in which information, knowledge and expertise sharing can flow easily. We try to give some new evidence on what can cause variations in financial analyst accuracy by exploring these concepts, well known and analysed in other fields, but new in the context of financial analysts.
Book Synopsis A Multivariate Analysis of Annual Earnings Forecasts Generated from Quarterly Forecasts of Financial Analysts and Univariate Time Series Models by : William S. Hopwood
Download or read book A Multivariate Analysis of Annual Earnings Forecasts Generated from Quarterly Forecasts of Financial Analysts and Univariate Time Series Models written by William S. Hopwood and published by . This book was released on 1979 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study compares the forecast accuracy of financial analysts, ARIMA models, and various permier models considered in the literature in the predicting of annual earnings per share. Various refinements were made of previously used methodologies. The results of the multivariate analysis indicated that financial analysts provide the most accurate forecasts. In addition, the divergence in accuracy between the various sources of forecasts tend to decrease as the end of the year approaches, while at the same time there is a general increase in accuracy. Also specific results are provided for individual model performance.
Book Synopsis A Re-Examination of Financial Analysts' Differential Earnings Forecast Accuracy by : Praveen Sinha
Download or read book A Re-Examination of Financial Analysts' Differential Earnings Forecast Accuracy written by Praveen Sinha and published by . This book was released on 2014 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research re-examines whether there are differences in the forecast accuracy of financial analysts by comparing their annual earnings per share forecasts. The comparison of analyst forecast accuracy is made on both an ex post (within sample) and an ex ante (out of sample) basis. Early examinations of this issue by O'Brien (1990), Richards (1976), Brown and Rozeff (1980), O'Brien (1987), Coggin and Hunter (1989), Butler and Lang (1991) were ex post and suggest the absence of analysts who can provide relatively more accurate forecasts over multiple years. Contrary to the results of prior research, and consistent with the belief in the popular press, we document that differences do exist in financial analysts' ex post forecast accuracy. We show that the previous studies failed to find differences in forecast accuracy due to inadequate (or no) control for differences in the recency of forecasts issued by the analysts. It has been well documented in the literature that forecast recency is positively related to forecast accuracy (Crichfield, et al, 1978; O'Brien, 1988; Brown, 1991). Thus, failure to control for forecast recency may reduce the power of tests, making it difficult to reject the null hypothesis of no differences in forecast accuracy even if they do exist.
Book Synopsis The Effect of Language on Financial Analysts' Forecast Accuracy in Continental Western Europe by : Marvin Pfister
Download or read book The Effect of Language on Financial Analysts' Forecast Accuracy in Continental Western Europe written by Marvin Pfister and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis analyses the effect of language differences to English on financial analysts' earnings forecast accuracy in the context of conference calls in Continental Western Europe. By adopting different perspectives, the influence of analysts', senior executives', and firms' language distance relative to English is examined applying various statistical methods. Empirical results support the hypotheses that the greater the language distance to English, the lower the accuracy of financial analysts' forecasts. Additional statistical examinations consider the impact on accuracy of operational complexity in terms of firms' business segment diversification as well as geographical dispersion. Moreover, interaction effects are detected by treating operational complexity as moderators. The study's findings not only advance research on accounting, finance, and intercultural communication literature but also provide new insights into the interaction of analysts and managers and thus contribute to investor relations research.
Book Synopsis The Accuracy of Analyst Forecasts by : Patrick J. Butler
Download or read book The Accuracy of Analyst Forecasts written by Patrick J. Butler and published by diplom.de. This book was released on 2002-12-04 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis On the Properties of Financial Analyst Earnings Forecasts: Some New Evidence by :
Download or read book On the Properties of Financial Analyst Earnings Forecasts: Some New Evidence written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of information in the formation process of security prices has a long history. The dissemination of information can take on different forms depending on the legal constraints. However, in all developed financial markets, financial analysts play a prominent role in collecting, analysing and diffusing information. Financial analysts typically supply future earnings estimates and stock picking advices in the form of recommendations. Earnings estimates are the essential part of security valuation by analysts and investors. They have even become an integral part of financial reporting in the financial press. Early research has accumulated evidence that these estimates are optimistically biased. More recently, empirical studies have found that analysts' optimistic bias is lessening, that its extent differs across analysts, firm characteristics and countries. Broadly speaking, this dissertation investigates the determinants of financial analyst forecasts bias. In the first essay, I examine the relative accuracy of European financial analysts' earnings forecasts and its determinants. I show that the results obtained for US analysts can not be generalised to European analysts who face a seemingly different job market as well as several different institutional and economic environments. In the second essay, I investigate the influence of financial analysts' location on their performance. More precisely, I examine the relative performance of local versus foreign analysts on Latin American stock markets. I find foreign analysts to be more timely and more accurate than their local counterparts. In addition, I document stronger price reactions after foreign analysts' forecast revisions than after those of local analysts. The third essay is related to the declining pattern of financial analyst forecast bias. In particular, I investigate whether US CEOs compensation arrangements give CEOs incentives to manipulate analysts' expectations downward in order to release ea.
Book Synopsis The Accuracy of Analysts' Earnings Forecasts and SFAS No. 52 by : Gordian A. Ndubizo
Download or read book The Accuracy of Analysts' Earnings Forecasts and SFAS No. 52 written by Gordian A. Ndubizo and published by . This book was released on 1988 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Empirical Investigation of the Incremental Value of Financial Analysts' Forecasts of Earnings Error Metrics in the Prediction of Financial Distress by : Henry Clay Smith
Download or read book An Empirical Investigation of the Incremental Value of Financial Analysts' Forecasts of Earnings Error Metrics in the Prediction of Financial Distress written by Henry Clay Smith and published by . This book was released on 1994 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Team Earnings Forecasting by : Lawrence D. Brown
Download or read book Team Earnings Forecasting written by Lawrence D. Brown and published by . This book was released on 2014 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: While brokerage houses use both teams of sell-side analysts and individual analysts to conduct earnings research, there is no empirical research examining if teams and individuals differ with regard to their forecasting performance or purpose, and if so, how and why. We first examine the most-often researched dimension of forecasting performance, earnings forecast accuracy, and we show that teams are less accurate than individual analysts in general and their own individual team members in particular. We conjecture that teams focus their efforts on an alternative dimension of forecasting performance, timeliness, and we show that team forecasts are timelier than those of individual analysts in general and their own individual team members in particular. Consistent with the notion that teams trade-off forecast accuracy for timeliness to comply with a market research demand, we show that team forecast revisions are associated with larger market responses than those of individuals. Finally, we shed light on the nature of team assignments by documenting that the firms teams follow are in greater financial distress (representing a greater need for timely information) and larger (representing a larger forecasting task).
Book Synopsis An Empirical Test of Learning in Management Earnings Forecasts by : Yuan Shi (Ph.D.)
Download or read book An Empirical Test of Learning in Management Earnings Forecasts written by Yuan Shi (Ph.D.) and published by . This book was released on 2019 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: My dissertation examines whether managers issuing earnings guidance learn from the forecast errors in prior earnings guidance issued by them. Using data on quarterly earnings forecasts issued by managers during the period from 2001 to 2016, I find results that are consistent with managers learning from their previous forecast errors to improve their forecast accuracy. However, the intensity of the managers' reactions to previous forecast errors is asymmetric. Consistent with prior literature that emphasizes the importance of meeting or beating forecasts for managers, certain managers that miss their own forecasts tend to be conservative enough in their future forecasts to avoid missing their own forecasts again. However, as expected, when the managers have met or beaten their previous forecasts, they have a smaller forecast error, but they still beat their previous forecasts. Additional analysis suggests that these effects persist even after controlling for potential earnings management to achieve these earnings targets. I also examine the impact of managerial attributes and board governance characteristics on the learning process. My analysis suggests that while CEO overconfidence and CFO overconfidence appear to impede learning, Managerial ability, CEO duality and outside CEO(s) as director(s) strengthen the learning effect. My findings shed light on an important aspect of management guidance and may have implications for users of this information such as financial analysts and investors.
Book Synopsis Essays on Financial Analysts' Forecasts by : Marius del Giudice Rodriguez
Download or read book Essays on Financial Analysts' Forecasts written by Marius del Giudice Rodriguez and published by . This book was released on 2006 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation contains three self-contained chapters dealing with specific aspects of financial analysts' earnings forecasts. After recent accounting scandals, much attention has turned to the incentives present in the career of professional financial analysts. The literature points to several reasons why financial analysts behave overoptimistically when providing their predictions. In particular, analysts may wish to maintain good relations with firm management, to please the underwriters and brokerage houses at which they are employed, and to broaden career choice. While the literature has focused more on analysts' strategic behavior in these situations, less attention has been paid to the implications these factors have on financial analysts' loss functions. The loss function dictates the criteria that analysts use in order to build their forecasts. Using a simple compensation scheme in which the sign of prediction errors affect their incomes differently, in the first chapter we examine the implications this has on their loss function. We show that depending on the contract offered, analysts have a strict preference for under-prediction or over-prediction and the size of this asymmetric behavior depends on the parameter that governs the financial analyst's preferences over wealth. This is turn affects the bias in their forecasts. Recent developments in the forecasting literature allow for the estimation of asymmetry parameters after observing data on forecasts. Moreover, they allow for a more general test of rationality once asymmetries are present. We make use of forecast data from financial analysts, provided by I/B/E/S, and present evidence of asymmetries and weak evidence against rationality. In the second chapter we study the evolution over time in the revisions to financial analysts' earnings estimates for the 30 Dow Jones firms over a 20 year period. If analysts' forecasts used information efficiently, earnings revisions should not be predictable. However, we find strong evidence that earnings revisions can in fact be predicted by means of the sign of the last revision or by using publicly available information such as short interest rates and past revisions. We propose a three-state model that accounts for the very different magnitude and persistence of positive, negative and `no change' revisions and find that this model forecasts earnings revisions significantly better than an autoregressive model. We also find that our forecasts of earnings revisions predict the actual earnings figure beyond the information contained in analysts' earnings estimates. Finally, the empirical literature on financial analysts' forecast revisions of corporate earnings has focused on past stock returns as the key determinant. The effects of macroeconomic information on forecast revisions is widely discussed, yet rarely tested in the literature. In the third chapter, we use dynamic factor analysis for large data sets to summarize a large cross-section of macroeconomic variables. The estimated factors are used as predictors of the average analyst's forecast revisions for different sectors of the economy. Our analysis suggests that factors extracted from macroeconomic variables do, indeed, improve on the current model with only past stock returns. In trying to explain what drives financial analysts' forecast revisions, the factors representing the macroeconomic environment must be considered to avoid a potential omitted variable problem. Moreover, the explanatory power and direction of such factors strongly depend on the industry in question.
