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Author: Kanyuan Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
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Book Description
This paper examines the information contained in analyst forecast revisions following earnings announcements. I find that sorting firms on aggregated forecast revisions generates a much stronger post-earnings-announcement drift than sorting on measures of earnings surprises. The strong association between aggregated forecast revisions and post-earnings-announcement returns is driven by the subsample of firms with large-magnitude earnings surprises. This result is consistent with analysts' roles in interpreting corporate earnings. Further, the mispricing is the strongest when forecast revisions contradict earnings surprises, suggesting investors have difficulties in processing contradictory signals. Lastly, I document aggregated forecast revisions are more informative when the information environment around earnings announcements is more opaque, when firms have high accruals and when investors do not pay attention to the firm. They are less informative when analysts disagree with each other. Overall, these results point to the value of analyst forecast revisions following earnings announcements.
Author: Kanyuan Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
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Book Description
This paper examines the information contained in analyst forecast revisions following earnings announcements. I find that sorting firms on aggregated forecast revisions generates a much stronger post-earnings-announcement drift than sorting on measures of earnings surprises. The strong association between aggregated forecast revisions and post-earnings-announcement returns is driven by the subsample of firms with large-magnitude earnings surprises. This result is consistent with analysts' roles in interpreting corporate earnings. Further, the mispricing is the strongest when forecast revisions contradict earnings surprises, suggesting investors have difficulties in processing contradictory signals. Lastly, I document aggregated forecast revisions are more informative when the information environment around earnings announcements is more opaque, when firms have high accruals and when investors do not pay attention to the firm. They are less informative when analysts disagree with each other. Overall, these results point to the value of analyst forecast revisions following earnings announcements.
Author: Yongtae Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 45
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Book Description
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: Cristi A. Gleason
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We document several factors that help explain cross-sectional variations in the post-revision price drift associated with analyst forecast revisions. First, the market does not make a sufficient distinction between revisions that provide new information ("high-innovation" revisions) and revisions that merely move toward the consensus ("low-innovation" revisions). Second, the price adjustment process is faster and more complete for "celebrity" analysts (Institutional Investor All-Stars) than for more obscure yet highly accurate analysts (Wall Street Journal Earnings-Estimators). Third, controlling for other factors, the price adjustment process is faster and more complete for firms with greater analyst coverage. Finally, a substantial portion of the delayed price adjustment occurs around subsequent earnings-announcement and forecast-revision dates. Collectively, these findings show that more subtle aspects of an earnings revision signal can hinder the efficacy of market price discovery, particularly in firms with relatively low analyst coverage, and that subsequent earnings-related news events serve as catalysts in the price discovery process.
Author: Lise Newman Graham
Publisher:
ISBN:
Category : Corporate profits
Languages : en
Pages : 334
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Book Description
Author: Cristi A. Gleason
Publisher:
ISBN:
Category :
Languages : en
Pages : 43
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Book Description
We document several factors that help explain cross-sectional variations in the delayed price response to individual analyst forecast revisions. First, the market does not make a sufficient distinction between those analysts providing new information and others simply quot;herdingquot; toward the consensus. Second, the market responds more completely to quot;celebrityquot; analysts, and under-weights revisions by obscure, but highly accurate, analysts. Third, controlling for firm size, the market price adjustment is more complete for firms with wider analyst coverage. Moreover, a significant portion of the delayed price response is corrected around future earnings news events, particularly forecast revisions by other analysts. Taken together, these findings show that qualitative aspects of an earnings signal can affect the speed and efficacy of the price formation process.
Author: Sundaresh Ramnath
Publisher: Now Publishers Inc
ISBN: 1601981627
Category : Business & Economics
Languages : en
Pages : 125
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Book Description
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.
Author: Michael L. Ettredge
Publisher:
ISBN:
Category : Financial statements
Languages : en
Pages : 48
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Book Description
Author: Pamela S. Stuerke
Publisher:
ISBN:
Category :
Languages : en
Pages : 34
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Book Description
This paper develops a theory of the frequency of financial analysts' forecast revisions and then tests the empirical predictions of the model. Financial analysts act as information intermediaries for firms and investors and therefore their forecast revision frequency helps explain the equilibrium of the supply of and demand for earnings predictions and assessments of firm value. The theory is based on the analyst's costs of information gathering and the profits obtained from selling the information to investors. Our analysis is conducted in two stages. In the first stage, a single-period, Kyle (1985) model is used to determine the profits generated by privately informed investors who trade on the analyst's forecast revision. The analyst is assumed to be compensated as a function of these profits. In the second stage, the analyst's optimal revision frequency to collect and sell private information is determined. We find that the analyst's optimal revision frequency is increasing in the variance of liquidity trading volume, the volatility of the underlying earnings process, and the earnings-response coefficient and decreasing in the total number of informed traders who invest in the firm and the cost of revision. These theoretical results are developed into empirical hypotheses that the frequency of analysts' forecast revisions between earnings announcements is positively associated with variability of the earnings process, average prior trading volume, and earnings response coefficients, and negatively associated with skewness of prior trading volume, after controlling for firm size and prior average daily stock price changes. These hypotheses are tested cross-sectionally and we find significant support each of the hypothesized relations.
Author: Michael J. Jung
Publisher:
ISBN:
Category :
Languages : en
Pages : 42
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Book Description
The most prevalent forecasts of firms' long-term earnings issued by analysts are two-year-ahead earnings per share (EPS) estimates. When introduced by analysts, two-year-ahead EPS estimates set market expectations for firms' future earnings. Subsequent revisions to these estimates are highly correlated with contemporaneous changes in stock prices. We examine whether such revisions are sufficiently predictable to enable investors to earn abnormal returns on hedged portfolios. We find that analyst forecast revisions are predictable and document an implementable strategy for investors. Consistent with investors' fixation on unscaled EPS, the strategy earns positive abnormal returns using unscaled EPS revisions but not when revisions are scaled by the level of the EPS estimate or the stock price. Abnormal returns are found for firms with low analyst coverage, consistent with a greater initial mispricing from analyst optimism for firms with poorer information environments.
Author: Eugene A. Imhoff, Jr. and Gerald J. Lobo
Publisher:
ISBN:
Category :
Languages : en
Pages : 29
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Book Description
