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Author: Anwer S. Ahmed Publisher: ISBN: Category : Languages : en Pages : 42
Book Description
This study examines whether differential interpretation of earnings announcements is affected by earnings and firm characteristics. We find that Kandel and Pearson's (1995) forecast measures of differential interpretation are: 1) negatively related to earnings predictability, firm size, and price-to-book ratio, and 2) positively related to earnings surprise, negative earnings, and analyst coverage. This evidence suggests that differential interpretation of earnings announcements is decreasing in the quality of the earnings, the quality of pre-announcement disclosure, and the cost of analyzing a firm's value.
Author: Anwer S. Ahmed Publisher: ISBN: Category : Languages : en Pages : 42
Book Description
This study examines whether differential interpretation of earnings announcements is affected by earnings and firm characteristics. We find that Kandel and Pearson's (1995) forecast measures of differential interpretation are: 1) negatively related to earnings predictability, firm size, and price-to-book ratio, and 2) positively related to earnings surprise, negative earnings, and analyst coverage. This evidence suggests that differential interpretation of earnings announcements is decreasing in the quality of the earnings, the quality of pre-announcement disclosure, and the cost of analyzing a firm's value.
Author: David Folsom Publisher: ISBN: Category : Languages : en Pages : 39
Book Description
In this study, we examine the effect of investor sentiment on the stock market reaction to earnings news (i.e., the earnings response coefficient or ERC) for loss firms. We find that the ERC for loss firms' earnings increases is less positive as sentiment increases, contrary to the findings in prior literature examining how sentiment affects the ERC for profit firms. Cross-sectional analysis reveals that the dampened ERC associated with earnings increases in loss firms during high sentiment periods is driven by various firm characteristics including low book values of equity, low R&D intensity, the inability to raise external capital, and a lack of nonrecurring write-offs. We also examine future returns and find that, on average, the effect of sentiment on loss firms' earnings changes reverses in the second year following an earnings announcement.
Author: Alina Lerman Publisher: ISBN: Category : Languages : en Pages : 63
Book Description
Theory offers three main determinants of informationally driven trading volume at earnings announcements: pre-announcement difference in private information precision, belief divergence or differential interpretation, and signal strength. In this paper, we empirically test which theoretical determinants best explain earnings announcement volume conditional on the level of earnings news. We first document that, consistent with signal strength, there is a strong positive (negative) association between volume and both contemporaneous and immediately preceding returns for good (bad) earnings news. Next, we explicitly test the association between volume and various proxies for its three theorized determinants conditional on earnings news. We find that trading volume is highly associated with upward (downward) contemporaneous analyst revisions in the presence of good (bad) earnings news. It is also associated with future earnings surprises, the F-score, and the change in shares shorted, especially for good news firms. Volume is moderately associated with proxies of belief divergence, particularly for bad and neutral news firms. Finally, proxies for pre-announcement difference in private information precision do not appear to significantly explain trading volume for any level of earnings news. Examining financial press data we document an association between abnormal volume and coverage of a multitude of news items. Taken together, our results suggest that trading volume at earnings announcements is more reflective of the quantity and quality of information released, but its dynamics significantly vary with the nature of the disclosed news.
Author: Jennifer Francis Publisher: Now Publishers Inc ISBN: 1601981147 Category : Business & Economics Languages : en Pages : 97
Book Description
This review lays out a research perspective on earnings quality. We provide an overview of alternative definitions and measures of earnings quality and a discussion of research design choices encountered in earnings quality research. Throughout, we focus on a capital markets setting, as opposed, for example, to a contracting or stewardship setting. Our reason for this choice stems from the view that the capital market uses of accounting information are fundamental, in the sense of providing a basis for other uses, such as stewardship. Because resource allocations are ex ante decisions while contracting/stewardship assessments are ex post evaluations of outcomes, evidence on whether, how and to what degree earnings quality influences capital market resource allocation decisions is fundamental to understanding why and how accounting matters to investors and others, including those charged with stewardship responsibilities. Demonstrating a link between earnings quality and, for example, the costs of equity and debt capital implies a basic economic role in capital allocation decisions for accounting information; this role has only recently been documented in the accounting literature. We focus on how the precision of financial information in capturing one or more underlying valuation-relevant constructs affects the assessment and use of that information by capital market participants. We emphasize that the choice of constructs to be measured is typically contextual. Our main focus is on the precision of earnings, which we view as a summary indicator of the overall quality of financial reporting. Our intent in discussing research that evaluates the capital market effects of earnings quality is both to stimulate further research in this area and to encourage research on related topics, including, for example, the role of earnings quality in contracting and stewardship.
Author: Leonard Zacks Publisher: John Wiley & Sons ISBN: 1118127765 Category : Business & Economics Languages : en Pages : 352
Book Description
Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.
Author: Anwer S. Ahmed
Author: Anwer S. Ahmed
Author: Ki Choong Han
Author: Ki Choong Han
Author: Charles Edward Wasley
Author: David Folsom
Author: Wiliam Kross
Author: Alina Lerman
Author: Jennifer Francis
Author: Leonard Zacks
Author: Orley Ashenfelter