Download or read book Determinants of Earnings Forecast Error Earnings Forecast Revision and Earnings Forecast Accuracy written by Sebastian Gell and published by Springer Science & Business Media. This book was released on 2012-03-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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?
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.
Download or read book The Relative Importance of Forecast Accuracy Determinants Revisited written by Alain Coen and published by . This book was released on 2008 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: We analyze earnings forecasting errors made by financial analysts for 18 European countries over the 1995-2006 period. We use the Heston-Rouwenhorst approach to unravel country-, industry-, and firm-specific effects as a source of variation in financial analysts' earnings forecast errors. We first estimate each effect with a dummy variable regression, and then decompose the variance of forecast errors into different effects. We provide evidence that the differences among countries, industrial sectors, or analyst following offer a weak explanation for differences in forecast errors. Country effects however largely dominate industry and analyst following effects on European stock markets. By contrast, the type of earnings - profits or losses - and variations in earnings - increases or decreases - play a significant role in the performance of financial analysts.
Download or read book Theory and Evidence of Ex ante Determinants of Analyst Earnings Forecast Accuracy in the International Context written by Huong Ngo Higgins and published by . This book was released on 1998 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Roles that Forecast Surprise and Forecast Error Play in Determining Management Forecast Precision written by Jong-Hag Choi and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying the determinants of management forecast precision is important because a better understanding of the factors affecting management's choice of forecast precision can provide investors and other users with cues about the characteristics of the information contained in the forecasts. In addition, as regulators assess the regulation of voluntary management disclosures, they need to better understand how managers choose among forecast precision disclosure alternatives. Using 16,872 management earnings forecasts collected from 1995 through 2004, we provide strong evidence that forecast precision is negatively associated with the magnitude of the forecast surprise and that this negative association is stronger when the forecast is bad news than when it is good news. We also find that forecast precision is negatively associated with the absolute magnitude of the forecast error that proxies for the forecast uncertainty that managers face when they issue forecasts, and that the negative association is stronger when forecast errors are negative. These results are consistent with greater liability concerns related to bad news forecasts and negative forecast errors, respectively. Our study provides educators and researchers with important insights into management's choice of earnings forecast precision, which is a component of the voluntary disclosure process that is not well understood.
Download or read book Understanding Analysts Reactions to Earnings Management written by Yuyan Guan and published by . This book was released on 2006 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis examines the determinants of analysts' reactions to firms' earnings management. I present a model showing that analysts revise their forecasts according to their forecast errors revealed by earnings announcements and reporting biases embedded in reported earnings. The model further demonstrates that the relationship between forecast revisions and reporting biases can be affected by analysts' forecasting ability, the inherent uncertainty of whether reporting biases have occurred, as well as analysts' incentives. To empirically test the model's prediction regarding analysts' forecasting ability, I use analysts' firm-specific experience, size of their brokerage firm, and the number of industries they follow as proxies. Consistent with the model's prediction, I provide evidence showing that well-experienced analysts adjust more for earnings management while analysts following a greater number of industries adjust less for earnings management. Sensitivity analysis using analyst's historical firm-specific forecast accuracy as an alternative measure of forecasting ability further supports the hypothesis that analysts with better forecasting ability adjust more for earnings management. Moreover, analysts adjust less for earnings management when the inherent uncertainty of the reporting bias is greater. Specifically, analysts adjust less for earnings management when: (1) the past volatility of discretionary accruals is high; and (2) the firm has a marked propensity to smooth earnings. There is little evidence that affiliated analysts adjust less for earnings management than unaffiliated analysts. However, analysts adjust more for earnings management in the post-Reg FD period than in the pre-Reg FD period, which is consistent with Regulation FD achieving its objective of strengthening analysts' incentives to issue unbiased forecasts.
Download or read book Misstated Quarterly Earnings Alternative Information and Financial Analyst Earnings Forecast Revisions written by Michael L. Ettredge and published by . This book was released on 1993 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Determinants of the Incidence and Precision of Earnings Forecasts written by Jacob Nelson and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: I investigate two related aspects of corporate disclosure of earnings forecasts. Specifically, I empirically model managers' disclosure decisions as a sequential choice: managers first decide whether to publicly issue an earnings forecast and, if they decide to disclose, they choose the precision with which to make this disclosure. I classify point forecasts as the most precise, and all other forecasts as less precise. I estimate dichotomous choice logistic regressions for each of these decisions. I examine the effect of both capital market and product market considerations on these two aspects of the disclosure decision. Broadly, the analysis suggests that while capital market considerations are the primary determinant of the decision to disclose, product market considerations appear to be important in determining disclosure precision. In particular, disclosure precision appears to be decreasing (increasing) in proprietary costs for good (bad) news firms. This study adds to recent analytical and empirical research on the influence of product market considerations on disclosure decisions.
Download or read book Three Essays on Analyst Earnings Forecast written by Wenjuan Xie and published by . This book was released on 2008 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Earnings Expectations written by William Kross and published by . This book was released on 1987 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Determinants of the Accuracy of Analysts Earnings Forecasts written by Svetlana Mira and published by . This book was released on 2005 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book International Variation in Accounting Measurement Rules and Analysts Earnings Forecast Errors written by Sudipta Basu and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We theorize that accounting systems affect analysts' forecast accuracy through changes in earnings variability. We argue that the matching and historical cost principles reduce earnings variability, and hence, reduce analysts' earnings forecast errors. We also argue that restricting the choice of accounting methods can result in larger forecast errors. We argue that more informative disclosure environments should reduce forecast errors. We test whether variation in these factors across countries explain variation in analysts' earnings forecast bias and accuracy. Our results indicate that these characteristics of financial accounting systems are complements, and that they affect financial analysts' earnings forecast errors.
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.
Download or read book Uncertainty About Future Earnings as a Determinant of Bias in Analysts Earnings Forecasts written by Bong-Heui Han and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers have identified numerous factors associated with security analysts' optimistic bias, including size, earnings-to-price ratio, forecast dispersion, past returns, and past forecast errors. These factors are viewed as having future earnings uncertainty as a common attribute. Empirical evidence consistent with this view is presented. Using these factors as proxies for future earnings uncertainty, univariate tests show that analysts' bias increases as uncertainty increases. Multivariate tests indicate that each of the uncertainty proxies incrementally explains bias, after controlling for the other variables. A model is developed which significantly improves accuracy by reducing both forecast bias and forecast error variance in tests on holdout samples.
Download or read book Wall Street Research written by Boris Groysberg and published by Stanford University Press. This book was released on 2013-08-07 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wall Street Research: Past, Present, and Future provides a timely account of the dramatic evolution of Wall Street research, examining its rise, fall, and reemergence. Despite regulatory, technological, and global forces that have transformed equity research in the last ten years, the industry has proven to be remarkably resilient and consistent. Boris Groysberg and Paul M. Healy get to the heart of Wall Street research—the analysts engaged in the process—and demonstrate how the analysts' roles have evolved, what drives their performance today, and how they stack up against their buy-side counterparts. The book unpacks key trends and describes how different firms have coped with shifting pressures. It concludes with an assessment of where equity research is headed in emerging markets, drawing conclusions about this often overlooked corner of Wall Street and the industry's future challenges.
Download or read book On the Determinants of Analyst Forecast Error written by William Kross and published by . This book was released on 1981 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and published by World Scientific. This book was released on 2020-07-30 with total page 5053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
