Analyst Information Precision And Small Earnings Surprises
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| Author | : Sanjay Bissessur |
| Publisher | : |
| Total Pages | : 46 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
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.
| Author | : Leonard Zacks |
| Publisher | : John Wiley & Sons |
| Total Pages | : 352 |
| Release | : 2011-08-24 |
| Genre | : Business & Economics |
| ISBN | : 1118127765 |
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 | : United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs |
| Publisher | : |
| Total Pages | : 136 |
| Release | : 2004 |
| Genre | : Business & Economics |
| ISBN | : |
| Author | : Xingqiang Du |
| Publisher | : Springer Nature |
| Total Pages | : 506 |
| Release | : 2021-01-04 |
| Genre | : Business & Economics |
| ISBN | : 9813344628 |
This book focuses on the Chinese context to investigate how informal institutions (Confucian culture and its dimensions, religion, political connections) in China affect accounting behaviors. This book tries to show that cultural influence and religious impacts in China are not trivial and increasingly important, and specifically, informal institutions have its bright and dark sides with regard to its effects on accounting behaviors. This book aims to investigate whether and how informal institutions (Confucian culture and its dimensions, religion, political connections) affect micro-level accounting behaviors, including but not limited to audit quality, financial misstatement, R&D, corporate misconducts, corporate philanthropy and corporate environmental responsibility. This book provides graduate students, scholars and practitioners in the fields of accounting, business administration and religion with an in-depth understanding about how informal institutions as a set of social norms affect micro-level accounting behaviors. First, this book is the first to focus on the Chinese context and investigate the effects of informal institutions on accounting behavior. Second, this book documents systematic evidence to show the bright and dark sides with regard to the relation between informal institutions and accounting behavior in China. Lastly, this book reveals informal institutions can serve as an important mechanism to affect accounting behaviors.
| Author | : Bianca Ahrens |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 282 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 3899369211 |
In his speech from 1998 the former chairman of the United States Securities and Exchange Commission (SEC) Arthur Levitt pointed out that trust "is the bedrock of our capital markets" and that this must not be shaken by the erosion of earnings quality. He made clear that it is the challenge of the whole financial community to counteract such a development. This thesis deals with the question whether the importance of earnings for the capital market varies with its quality. The question arises, because in recent years a large number of firm scandals has shaken the trust in the reliability of reported earnings. In order to properly address the research questions, the literature on earnings quality definitions, quality measures as well as implications of earnings quality on capital markets is reviewed and critically discussed. The author investigates whether well known results concerning capital market implications of earnings quality remain stable for all measures considered. She answers the question of how earnings quality affects firm value, cost of equity capital, and the accuracy of analysts' forecasts taking into account the effects of determinants of earnings quality.
| Author | : Jennifer Francis |
| Publisher | : Now Publishers Inc |
| Total Pages | : 97 |
| Release | : 2008 |
| Genre | : Business & Economics |
| ISBN | : 1601981147 |
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 | : Daniel Kreutzmann |
| Publisher | : Logos Verlag Berlin GmbH |
| Total Pages | : 141 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 3832525297 |
This thesis focuses on the three primitive value drivers of each company valuation model that is based on fundamental analysis: the discount rate, the expected future payoffs during the explicit forecasting period, and the terminal value at the end of the explicit forecasting period. While the first factor is analyzed theoretically by incorporating the government into the classical valuation framework, this thesis studies the other two factors by investigating forecasts made by professional investors, i.e. financial analysts. In the first part we show that the government's and the shareholders discount rate usually differ and analyze how the government's and shareholders different objectives lead to conflicts in the context of capital budgeting. The empirical part of this thesis shows that macroeconomic information is frequently used by financial analysts when updating their earnings expecations and that target price forecastsmade by financial analysts can be used to predict abnormal returns.
| Author | : Sebastian Gell |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 144 |
| Release | : 2012-03-26 |
| Genre | : Business & Economics |
| ISBN | : 3834939374 |
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?
| Author | : Joshua Ronen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 587 |
| Release | : 2008-08-06 |
| Genre | : Business & Economics |
| ISBN | : 0387257713 |
This book is a study of earnings management, aimed at scholars and professionals in accounting, finance, economics, and law. The authors address research questions including: Why are earnings so important that firms feel compelled to manipulate them? What set of circumstances will induce earnings management? How will the interaction among management, boards of directors, investors, employees, suppliers, customers and regulators affect earnings management? How to design empirical research addressing earnings management? What are the limitations and strengths of current empirical models?
| Author | : Cheng Few Lee |
| Publisher | : World Scientific |
| Total Pages | : 5053 |
| Release | : 2020-07-30 |
| Genre | : Business & Economics |
| ISBN | : 9811202400 |
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.
