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The Effect of Meeting Analyst Forecasts and Systematic Positive Forecast Errors on the Information Content of Unexpected Earnings

The Effect of Meeting Analyst Forecasts and Systematic Positive Forecast Errors on the Information Content of Unexpected Earnings
Author: Thomas J. Lopez
Publisher:
Total Pages: 39
Release: 2001
Genre:
ISBN:

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This paper focuses on two distinct, but related, issues with respect to managers' incentives to report earnings that meet or exceed analysts' expectations. First, we assess the differential stock price sensitivity to earnings that meet or exceed analysts' expectations compared to those that do not. Second, we examine whether the market implicitly revises analysts' earnings forecasts for firms that systematically report earnings that exceed forecasts. We find that the earnings response coefficient (ERC) is significantly higher for firms that meet analysts' forecasts. Additionally, we find that the market recognizes and adjusts the forecast error of firms that exhibit a systematic pattern of reporting positive or negative unexpected earnings. The market fully adjusts for the systematic component of the forecast error when it is negative; however, only a partial adjustment is made when the systematic component is positive. Overall, our evidence suggests that managers who try to report earnings that meet analysts' forecasts are responding to two market incentives. First, the market provides a premium to positive forecast errors and assigns a higher multiple to the level of positive unexpected earnings. Second, though the market recognizes systematic bias in analysts' forecasts, it does not fully adjust for systematically positive forecast errors. Our evidence provides, at a minimum, a partial explanation for managers' fixation on reporting positive unexpected earnings.


Financial Analysts and Information Processing on Financial Markets

Financial Analysts and Information Processing on Financial Markets
Author: Jan-Philipp Matthewes
Publisher: BoD – Books on Demand
Total Pages: 185
Release: 2015-01-28
Genre: Law
ISBN: 3945021073

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Financial analysts play an ambivalent role on financial markets: On the one hand investors and the media frequently follow their advice, on the other hand they are regularly discredited when their forecasts or recommendations prove to be erroneous. This cumulative thesis explores the informational content of financial analysts’ forecasts for investors by addressing three specific topics: Consensus size as a rudimentary investment signal, the association of analysts’ target prices with business sentiment, and the consistency of analysts’ different investment signals in the context of the 2008 financial crisis. Overall, the thesis provides additional evidence that investors can profit from analysts’ forecasts and recommendations. However, it is also shown that investors need to be very selective about which signal to rely on and in which context to use these because analysts’ investment signals can also be heavily biased and erroneous. About the author: Jan-Philipp Matthewes studied ‘Economics’ at the University of Cologne, Germany, and holds a Dean’s Award from the Faculty of Economics and Social Sciences. His research focus on financial analysts evolved while working in equity research at a leading German bank. The PhD-thesis was supervised by Prof. Dr. Martin Wallmeier, Finance and Accounting, at the University of Fribourg, Switzerland. Since 2013 Jan-Philipp Matthewes is the managing director of the boutique private equity firm ‘Matthewes Capital Invest GmbH’.


Conflicts of Interest

Conflicts of Interest
Author: Luc Thévenoz
Publisher: Kluwer Law International B.V.
Total Pages: 422
Release: 2007-01-01
Genre: Law
ISBN: 9041125787

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Conflicts of interest arise naturally in all walks of life, particularly in business life. As general and indeed inevitable phenomena, conflicts of interest should not be prohibited but properly managed. This book presents indepth analysis of such management in three areas of corporate governance where the conflict-of-interest problems are particularly acute: executive compensation, financial analysis, and asset management. ""Conflicts of Interest"" presents the results of a two-year-long research project bringing together academics and practitioners in both law and finance from Europe and the.


Management's Incentives to Guide Analysts' Forecasts

Management's Incentives to Guide Analysts' Forecasts
Author: Dawn A. Matsumoto
Publisher:
Total Pages: 54
Release: 1999
Genre:
ISBN:

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Recent reports in the popular press allege that managers guide analysts' forecasts downward to improve their chances of meeting or beating these forecasts when earnings are announced. Since the majority of this alleged guidance is unobservable, I use systematic patterns in analysts' forecast errors as a proxy for firm-provided guidance and examine both the change in guidance over time as well as the characteristics of firms exhibiting evidence of this guidance. The evidence is consistent with an increase in firm-provided guidance in recent years and differences across firms in the propensity to guide forecasts downward. In particular, I find: 1) an increasing number of forecast errors exactly equal to zero particularly for firms with initially high forecasts; 2) when firms miss analysts' expectations at the earnings announcement, the proportion that miss quot;highquot; (positive earnings surprise) versus miss quot;lowquot; (negative earnings surprise) has increased in recent years particularly for firms with initially high forecasts; 3) firms with higher growth prospects, higher institutional ownership, and higher litigation risk are more likely to guide analysts' forecasts downward to ensure reported earnings meet expectations at the earnings announcement, while firms with low value relevance of earnings are less likely to do so; and 4) firms with high institutional ownership and reliance on implicit claims with their stakeholders tend to exceed rather than fall short of expectations at the earnings announcement.


Analyst Information Precision and Small Earnings Surprises

Analyst Information Precision and Small Earnings Surprises
Author: Sanjay Bissessur
Publisher:
Total Pages: 46
Release: 2017
Genre:
ISBN:

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This study proposes and tests an alternative to the extant earnings management explanation for zero and small positive earnings surprises (i.e., analyst forecast errors). We argue that analysts' ability to strategically induce slight pessimism in earnings forecasts varies with the precision of their information. Accordingly, we predict that the probability that a firm reports a small positive instead of a small negative earnings surprise is negatively related to earnings forecast uncertainty and present evidence consistent with this prediction. Our findings have important implications for the earnings management interpretation of the asymmetry around zero in the frequency distribution of earnings surprises. We demonstrate how empirically controlling for earnings forecast uncertainty can materially change inferences in studies that employ the incidence of zero and small positive earnings surprises to categorize firms as “suspect” of managing earnings.


The Effect of Meeting or Beating Revenue Forecasts on the Association between Quarterly Returns and Earnings Forecast Errors

The Effect of Meeting or Beating Revenue Forecasts on the Association between Quarterly Returns and Earnings Forecast Errors
Author: Lynn L. Rees
Publisher:
Total Pages: 34
Release: 2005
Genre:
ISBN:

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Recent studies in the accounting literature provide evidence of a market premium whenever firms meet or exceed analysts' earnings forecasts. Financial analysts typically issue revenue forecasts in addition to earnings forecasts. In this study, we draw our motivation from the cue consistency theory to examine whether meeting or exceeding revenue forecasts serves as an additional cue to the market in pricing earnings performance. Consistent with this theory, we show that the market premium (penalty) to meeting or beating (not meeting) earnings forecasts is accentuated when revenue forecasts are also met (not met). Meeting earnings forecasts but not meeting revenue forecasts generally results in a significantly negative market penalty, and the magnitude of the earnings response coefficient jointly depends on whether the earnings and revenue forecasts are met or not. Finally, consistent with previous research, we document a significant association between revenue forecast errors and quarterly abnormal returns. However, we show that after allowing for differential market reactions depending on whether earnings and revenue forecasts are met, this association becomes insignificant. This result suggests that the value of meeting revenue forecasts is arguably of greater importance to market participants than the magnitude of the revenue forecast error.


Analysts' Incentives and Systematic Forecast Bias

Analysts' Incentives and Systematic Forecast Bias
Author: Senyo Y. Tse
Publisher:
Total Pages: 40
Release: 2008
Genre:
ISBN:

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The likelihood that earnings announcements meet or beat analyst expectations differs substantially and systematically across firms. Prior research explores managers incentives to meet analyst expectations. In this paper, we examine analysts incentives to issue systematically biased earnings forecasts and thereby influence the likelihood that firms report good earnings news. We first document that forecast biases are systematically different, as large firms and firms with low forecast dispersion - labeled high-information firms - are more likely to report positive earning surprises, while small firms and firms with large forecast dispersion - labeled low-information firms - tend to have optimistically biased forecasts that often lead to negative earnings surprises. We also show that potential financing needs induce more optimistic forecasts for low-information firms, but this effect is greatly mitigated for high-information firms. We find that career concerns help explain analysts' systematic forecast bias. An analyst's career longevity is enhanced by issuing pessimistic forecasts for high-information firms and optimistic forecasts for low-information firms. Optimistic forecast bias for high-financing-need firms has no consequence for an analyst's career longevity, but optimistic bias for low-financing-need firms hurts. Our results suggest that career concerns contribute to a systematic pattern of forecasting that aligns with managerial preferences.