The Timing Of Analysts Earnings Forecasts
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| Author | : Ilan Guttman |
| Publisher | : |
| Total Pages | : 48 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
Existing literature assumes that the order and timing of analysts' earnings forecasts are determined exogenously. However, analysts choose when to issue their forecasts. This study develops a model that endogenizes the timing decision of analysts and analyzes their equilibrium timing strategies. In the model, analysts face a trade-ocurren; between the timeliness and the precision of their forecasts. The model introduces a timing game with two analysts, derives and analyzes its unique pure strategies equilibrium, and provides new empirical predictions about the precision and timing of analysts' forecasts. The equilibrium has one of two patterns: either the times of the analysts' forecasts cluster, or there is a separation in the times of the forecasts. The less informed and less similar the analysts are, the more likely it is that they forecast at different points in time. All else equal, analysts with a higher precision of initial private information tend to forecast earlier, and analysts with a higher learning ability tend to forecast later.
| Author | : Lise Newman Graham |
| Publisher | : |
| Total Pages | : 334 |
| Release | : 1993 |
| Genre | : Corporate profits |
| ISBN | : |
| Author | : Sami Keskek |
| Publisher | : |
| Total Pages | : 42 |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
We investigate whether the reputation-herding theory or the tradeoff theory explains variation in the timing of individual analysts' forecasts. Using forecast accuracy improvements, forecast boldness, and the price impact of forecasts as measures of forecast quality, we find that in the information discovery phase that precedes an earnings announcement event, earlier forecasts have higher quality than later forecasts and find a similar pattern in the information analysis phase that begins with the earnings announcement date. Our findings suggest that consistent with the herding theory, more-capable analysts participate early in discovering and analyzing information and, therefore, earlier forecasts in the information discovery and analysis phases are of higher quality than later forecasts in that phase.
| Author | : Yongtae Kim |
| Publisher | : |
| Total Pages | : 45 |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
This study examines the stock-price reactions to analyst forecast revisions around earnings announcements to test whether pre-announcement forecasts reflect analysts' private information or piggybacking on confounding events and news. We find that management earnings forecasts influence the timing and precision of analyst forecasts. More importantly, evidence suggests that prior studies' finding of weaker (stronger) stock-price responses to forecast revisions in the period immediately after (before) the prior-quarter earnings announcement disappears once management earnings forecasts are controlled for. To the extent that management earnings forecasts are public disclosures, our results suggest that the importance of analysts' information discovery role documented in prior studies is likely to be overstated.
| Author | : Gerald J. Lobo |
| Publisher | : |
| Total Pages | : |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
This study investigates the relationship between the dispersion of analysts' earnings forecasts and stock price variability around quarterly earnings announcements. Consistent with theoretical predictions, the empirical analysis shows that stock price variability at the time of earnings announcements is positively related to the degree of analysts' earnings forecast dispersion. The analysis also demonstrates that stock price variability is significantly greater from two days before to two days after the earnings announcement for firms ranked in the bottom third on the basis of analysts' forecast dispersion, whereas it is significantly greater from eight days prior to five days following the earnings announcement for firms in the top third. These results suggest that there is information about the earnings announcement that becomes available to at least a subset of investors prior to the earnings release. The increased level of price variability for five days following the earnings announcement suggests that market participants take different amounts of time to process the information conveyed by the earnings announcement.
| Author | : Andrew Stotz |
| Publisher | : |
| Total Pages | : 122 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
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.
| Author | : John B. Guerard, Jr. |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 245 |
| Release | : 2013-01-04 |
| Genre | : Business & Economics |
| ISBN | : 1461452392 |
Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.
| Author | : Ioannis Salamouris |
| Publisher | : |
| Total Pages | : 212 |
| Release | : 2005 |
| Genre | : |
| ISBN | : |
| Author | : Samuel S. Tung |
| Publisher | : |
| Total Pages | : 28 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
This study investigates the relationship between the dispersion of analysts? earnings forecasts and stock price variability around quarterly earnings announcements. Consistent with theoretical predictions, the empirical analysis shows that stock price variability at the time of earnings announcements is positively related to the degree of analysts? earnings forecast dispersion. The analysis also demonstrates that stock price variability is significantly greater from two days before to two days after the earnings announcement for firms ranked in the bottom third on the basis of analysts? forecast dispersion, whereas it is significantly greater from eight days prior to five days following the earnings announcement for firms in the top third. These results suggest that there is information about the earnings announcement that becomes available to at least a subset of investors prior to the earnings release. The increased level of price variability for five days following the earnings announcement suggests that market participants take different amounts of time to process the information conveyed by the earnings announcement.
| Author | : Patricia C. O'Brien |
| Publisher | : Forgotten Books |
| Total Pages | : 134 |
| Release | : 2018-03-07 |
| Genre | : Mathematics |
| ISBN | : 9780364062012 |
Excerpt from Analysts' Forecasts as Earnings Expectations A third contribution of this paper is a methodological refinement of the techniques used to evaluate forecastsp I demonstrate the existence of significant time-period - specific effects in forecast errors. If time series and cross-section data are pooled without taking these effects into account, the statistical results may be overstated, and the results are subject to an aggregation bias. 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.
