Download or read book Earnings Management to Meet Analysts Forecasts an Analysis of Information Acquisition and Financial Reporting written by Maximilian Rohowsky and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Earnings Management written by Malek El Diri and published by Springer. This book was released on 2017-08-20 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides researchers and scholars with a comprehensive and up-to-date analysis of earnings management theory and literature. While it raises new questions for future research, the book can be also helpful to other parties who rely on financial reporting in making decisions like regulators, policy makers, shareholders, investors, and gatekeepers e.g., auditors and analysts. The book summarizes the existing literature and provides insight into new areas of research such as the differences between earnings management, fraud, earnings quality, impression management, and expectation management; the trade-off between earnings management activities; the special measures of earnings management; and the classification of earnings management motives based on a comprehensive theoretical framework.
Download or read book Earnings Management written by Joshua Ronen and published by Springer Science & Business Media. This book was released on 2008-08-06 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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?
Download or read book Financial Statement Analysis written by Martin S. Fridson and published by John Wiley & Sons. This book was released on 2011-06-01 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: The updated, real-world guide to interpreting and unpacking GAAP and non-GAAP financial statements In Financial Statement Analysis, 5th Edition, leading investment authority Martin Fridson returns with Fernando Alvarez to provide the analytical framework you need to scrutinize financial statements, whether you’re evaluating a company’s stock price or determining valuations for a merger or acquisition. Rather than taking financial statements at face value, you’ll learn practical and straightforward analytical techniques for uncovering the reality behind the numbers. This fully revised and up-to-date 5th Edition offers fresh information that will help you to evaluate financial statements in today’s volatile markets and uncertain economy. The declining connection between GAAP earnings and stock prices has introduced a need to discriminate between instructive and misleading non-GAAP alternatives. This book integrates the alternatives and provides guidance on understanding the extent to which non-GAAP reports, particularly from US companies, may be biased. Understanding financial statements is an essential skill for business professionals and investors. Most books on the subject proceed from the questionable premise that companies' objective is to present a true picture of their financial condition. A safer assumption is that they seek to minimize the cost of raising capital by portraying themselves in the most favorable light possible. Financial Statement Analysis teaches readers the tricks that companies use to mislead, so readers can more clearly interpret statements. Learn how to read and understand financial statements prepared according to GAAP and non-GAAP standards Compare CFROI, EVA, Valens, and other non-GAAP methodologies to determine how accurate companies’ reports are Improve your business decision making, stock valuations, or merger and acquisition strategy Develop the essential skill of quickly and accurately gathering and assessing information from financial statements of all types Professional analysts, investors, and students will gain valuable knowledge from this updated edition of the popular guide. Filled with real-life examples and expert advice, Financial Statement Analysis, 5th Edition, will help you interpret and unpack financial statements.
Download or read book Research and Development and Earnings Management An Empirical Analysis of Analysts Reactions during Conference Calls written by Julian Kasturiarachchige and published by GRIN Verlag. This book was released on 2017-07-18 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2015 in the subject Business economics - Investment and Finance, grade: 1,0, LMU Munich (Instituts für Rechnungswesen und Wirtschaftsprüfung), language: English, abstract: This study is an attempt to combine two important streams of accounting research: The problem of earnings management (hereafter EM) and the role of conference calls (hereafter CCs) as disclosure medium. In doing so, I focus on real activities manipulation (hereafter RM) through cutting R&D expenses. I contribute to the existing literature by answering two questions: Firstly, whether the risk of managers engaging in RM via R&D spending affects the probability of analysts, or management addressing those cuts during CCs. Secondly, if the analyst community benefits from such discussions, by obtaining useful information, not accessible via other information channels. To answer these questions, I examine the 4th quarter earnings conference call transcripts of 300 firm years with an increased RM risk. I use content analysis to measure analysts’ and managers’ reactions, and create dummy variables that contain the information found.
Download or read book Financial Reporting on Earnings Management written by David Onditi and published by GRIN Verlag. This book was released on 2019-09-23 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essay from the year 2017 in the subject Business economics - Accounting and Taxes, grade: A, University of Nairobi, language: English, abstract: This paper discusses the motives behind earnings management and explains some of the methods used by firms to manage their earnings. Earnings management has been defined differently by a number of scholars. It is important to note that there is a thin line between fraud and earnings management. Hamid, Hashim and Salleh citing the works of Brown, Perols and Lounge and Erickson, Hanlon and Maydew noted the difference in the definitions that are offered by the scholars. According to Perols and Lounge organizations will engage in fraud due to the constraints on earnings management. The research found out that the firms that had engaged in earnings management will be more likely to be involved in cases of fraud. Brown and Erickson et al noted that the difference between earnings management and fraud is that earnings management is usually within the scope of the generally accepted accounting principles (GAAP) while fraud is outside of the boundaries of GAAP. Earnings management has been defined as the manipulation of the financial statements and reports by the managers so that the firms can earn extra profit. It has also been defined as the action where the management of the organizations apply their own self-assessment in the communication of the financial information and transactions to modify the financial data for two main reasons: 1) influencing contractual businesses that solely rely on the financial information or 2) providing the stakeholders with a wrong impression about the financial position of the firm.
Download or read book Real Earnings Management and the Properties of Analysts Forecasts written by Lisa Eiler and published by . This book was released on 2016 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine how analysts' earnings forecast properties vary when accounting information is more difficult to process. Specifically, we investigate whether analysts' forecast properties are associated with traditional real earnings management (REM) measures. We hypothesize and find that analysts' forecast errors and dispersion are greater for REM firms. Next, we investigate cross-sectional differences among REM firms based on the presence of management guidance. We find some evidence that management guidance reduces the association between REM and analysts' forecast error, and strong evidence that management guidance reduces the association between REM and dispersion. Finally, we investigate cross-sectional differences among REM firms based on their earnings management incentives. We find that firms with low earnings management incentives drive the association between REM and analysts' forecast error and dispersion. This result suggests earnings are most difficult to forecast for REM firms lacking obvious financial reporting objectives. Our results are consistent across numerous proxies for REM. To the best of our knowledge, our paper is the first to provide robust evidence of a relation between REM and the properties of analysts' forecasts.
Download or read book Earnings Management and the Market Performance of Acquiring Firms written by Henock Louis and published by . This book was released on 2004 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: I examine the market's efficiency in processing manipulated accounting reports and provide an explanation for the post-merger underperformance anomaly. I find strong evidence suggesting that acquiring firms overstate their earnings in the quarter preceding a stock swap announcement. I also find evidence of a reversal of the stock price effects of the earnings management in the days leading to the merger announcement. However, the pre-merger reversal is only partial. There is evidence of a post-merger reversal of the stock price effects of the pre-merger earnings management. The results suggest that the extant evidence of post-merger underperformance by acquiring firms is partly attributable to the reversal of the price effects of earnings management. The study also suggests that the post-merger reversal is not fully anticipated by financial analysts in the month immediately following the merger announcement. However, consistent with suggestions in the financial press that managers guide analysts' forecasts to quot;beatablequot; levels, the effect of the earnings management reversal seems to be reflected in the consensus analysts' forecasts by the time of the subsequent quarterly earnings releases.
Download or read book Research and Development and Earnings Management an Empirical Analysis of Analysts Reactions During Conference Calls written by Julian Kasturiarachchige and published by Grin Publishing. This book was released on 2017-07-19 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2015 in the subject Business economics - Investment and Finance, grade: 1,0, LMU Munich (Instituts fur Rechnungswesen und Wirtschaftsprufung), language: English, abstract: This study is an attempt to combine two important streams of accounting research: The problem of earnings management (hereafter EM) and the role of conference calls (hereafter CCs) as disclosure medium. In doing so, I focus on real activities manipulation (hereafter RM) through cutting R&D expenses. I contribute to the existing literature by answering two questions: Firstly, whether the risk of managers engaging in RM via R&D spending affects the probability of analysts, or management addressing those cuts during CCs. Secondly, if the analyst community benefits from such discussions, by obtaining useful information, not accessible via other information channels. To answer these questions, I examine the 4th quarter earnings conference call transcripts of 300 firm years with an increased RM risk. I use content analysis to measure analysts' and managers' reactions, and create dummy variables that contain the information found.
Download or read book Earnings Management written by Kathleen Yates and published by Nova Science Publishers. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earnings management is an issue that directly affects the overall integrity and quality of financial reporting and to date, many studies have been conducted in an attempt to gain an understanding of whether firms are engaging in earnings management, why they do so, what are the motives that drive managers' discretionary behaviour, what are the economic consequences and whether investors can see through this behaviour? In this book, Chapter One reviews the developments and the trends in the contemporary earnings management research and discuss several possible avenues for future research. Chapter Two provides an overview of the most recent studies on earnings management in relation to the financial crisis and the institutional environment and firm characteristics. Chapter Three provides a description of the nowadays most commonly used methods for measuring earnings management in accounting and finance literature. Chapter Four examines earnings management and corporate social responsibility as an entrenchment strategy.
Download or read book Earnings Management The Influence of Real and Accrual Based Earnings Management on Earnings Quality written by and published by GRIN Verlag. This book was released on 2024-01-31 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2019 in the subject Business economics - Accounting and Taxes, University of Duisburg-Essen, course: Master Thesis, language: English, abstract: This paper delves into various theories and approaches, aiming to define and differentiate earnings management from related concepts such as fraud, expectation management, and impression management. It explores the goals and incentives driving earnings management, including maximizing or minimizing earnings, beating targets, and smoothing. At the onset of the new millennium, corporate scandals rocked the business world, eroding trust in management, boards of directors, and the accounting profession. In response, regulations and policies aimed at enhancing corporate governance and financial reporting were swiftly implemented. The credibility, clarity, and consistency of financial reporting practices play a pivotal role in enabling investors to make informed decisions. Accurate and fair financial performance representations, as opposed to inflated and misleading figures, are essential for market players, including shareholders and creditors. Investors rely on audited financial reports to guide their investment decisions, underscoring the critical importance of accuracy and reliability in publicly available financial disclosures. Auditors, by reducing the risk of material misstatement, ensure the integrity of the information disclosed in a company's financial statements. Management, with the goal of achieving promised targets and ensuring the company's existence, may engage in earnings management as a strategic contribution to corporate policy. Financial reporting serves as a means to distinguish well-performing companies from their counterparts, facilitating efficient resource allocation and empowering stakeholders to make effective decisions. The disclosed earnings results significantly impact a firm's overall business activities and management decisions, particularly in satisfying analysts' expectations, which can influence equity value. While accounting standards play a role, the quality of financial statements is more influenced by company-specific and institutional factors shaping managers' incentives. These factors lead to financial reporting practices being viewed as the outcome of a cost-benefit assessment.
Download or read book Analysts Response to Earnings Management written by Xiaohui Liu and published by . This book was released on 2004 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Previous literature studies analysts' earnings forecasts without considering firms' response to analysts' forecasts. This study improves upon previous research by considering firms' earnings management with respect to analysts' forecasts. I hypothesize that analysts understand these earnings management practices, and incorporate firms' expected behavior into their forecasts. I demonstrate that for firms with high tendencies and flexibilities to manage earnings downwards, and/or firms with negatively skewed earnings, analysts account for earnings management practices by lowering the otherwise optimal forecasts. Comparing analysts' consensus forecasts with proxy for non-strategic forecasts (otherwise optimal forecasts), I find that analysts' forecasts are systematically below the non-strategic forecasts for firm-quarters that have: high accounting reserves available to manage earnings downwards, high unmanaged earnings, low debt to equity ratios, negative forecasted earnings, and negatively skewed unmanaged earnings. These results suggest that analysts forecast below the non-strategic level in order to avoid the large optimistic forecast errors that occur when firms who cannot meet forecasts manage earnings downward. The test results also suggest that analysts forecast above the non-strategic forecasts when earnings are positively skewed, and/or when firms have high tendencies and flexibilities to manage earnings upwards.
Download or read book Earnings Announcement Disclosures and Changes in Analysts Information written by Orie E. Barron and published by . This book was released on 2016 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines how financial disclosures made with earnings announcements affect analysts' information about future earnings, focusing on disclosures of financial statements and management earnings forecasts. We find that disclosures of balance sheets and segment data are associated with an increase in the degree to which analysts' forecasts of upcoming quarterly earnings are based on private information. Further analyses show that balance sheet disclosures are associated with an increase in the precision of both analysts' common and private information, segment disclosures are associated with an increase in analysts' private information, and management earnings forecast disclosures are associated with an increase in analysts' common information. These results are consistent with analysts processing balance sheet and segment disclosures into new private information regarding near-term earnings. Additional analysis of conference calls shows that balance sheet, segment, and management earnings forecast disclosures are all associated with more discussion related to these items in the questions-and-answers section of conference calls, consistent with analysts playing an information interpretation role with respect to these disclosures.
Download or read book A Study of Meeting Or Beating Analysts Forecasts of Earning and Timeliness of Write offs written by Tae Hee Choi and published by . This book was released on 2002 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Empirical evidence supports the notion that both reported earnings and analysts' forecasts of earnings are managed in response to a variety of incentives of managers. One of the important incentives to manage earnings and/or analysts' forecasts is to exceed the market's expectation. The purpose of this study is to explore issues associated with earnings management and/or forecast management. In this thesis, I will present two essays to investigate issues pertaining to earnings management and/or forecast management.
Download or read book Analyst Forecasts and the Permanence of the Tax Change Component of Earnings written by Sangwan Kim and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the central importance of equity analysts as information intermediaries in capital markets, prior studies provide only limited evidence on how analysts use tax information reported in financial statements. To seek a deeper understanding of the mechanisms that underlie analysts' use of tax information in GAAP financial statements, we investigate the association between sell-side equity analysts' forecasts and the change in earnings attributable to a change in ETRs (i.e., the tax change component of earnings). We provide evidence that the persistence of the tax change component of earnings embedded in analysts' forecasts is systematically lower than that implied by our model's time-series properties. Recent research shows that the persistence of the tax change component of earnings is a complex combination of both the persistence of pretax earnings and the persistence of the ETR. We provide evidence that the analysts' underestimation of the tax change component of earnings is primarily attributable to analysts' failure to impound the full implications of the difference between permanent and transitory ETR changes. The results also provide strong evidence that analysts' underreaction to the tax change component of earnings is significantly attenuated when managers voluntarily provide earnings forecasts. Further, analysts' incorporation of tax information into earnings forecasts becomes less biased after Regulation FD. This research answers the call from Graham, Raedy, and Shackelford (2012) for more research into the underlying fundamentals of tax-based information prepared in accordance with GAAP, and the extent to which various financial statement users, including sophisticated market participants such as equity analysts, use tax-based information.
Download or read book Earnings Management Conservatism and Earnings Quality written by Ralf Ewert and published by . This book was released on 2012 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph reviews economic models that study earnings management and conservatism in an information economics framework. Both introduce a deliberate or a mandatory bias in financial reports. The fundamental issue this monograph addresses is what economic effects these biases have on earnings quality. We focus on models of managers in firms interacting with rational capital market participants, and briefly consider some contracting models. The models allow us to analyze earnings management and rational inferences by market participants in equilibrium in a variety of settings and to pinpoint costs and benefits of earnings management. We discuss how investors can elicit the maximum information from the biased reports and what potential remedies actually achieve in equilibrium. For example, accounting standards that reduce discretion for earnings management may be detrimental from a welfare point of view. In rational expectations models earnings quality can be defined as the information content in reported earnings. We discuss the earnings response coefficient, value relevance, and accounting-based earnings quality measures and how they reflect changes in earnings quality. Further, we review analytical work on conservatism of accounting standards and why conservatism can be welfare-enhancing even though it introduces a bias in the earnings reports. It is exactly through this bias that the benefit arises. Therefore, a differentiated view of earnings management and conservatism is warranted; neither is principally desirable or undesirable, but this depends on the circumstances. The benefit of equilibrium models is that they offer a rigorous explanation for the phenomena and show that sometimes conventional wisdom does not apply. There exist subtle interactions between accounting standards, the institutional environment, and earnings management that lead to several insights that challenge conventional wisdom. The models describe the economics behind these results and the particular circumstances.
Download or read book Managerial Behavior and the Bias in Analysts Earnings Forecasts written by Lawrence D. Brown and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managerial behavior differs considerably when managers report quarterly profits versus losses. When they report profits, managers seek to just meet or slightly beat analyst estimates. When they report losses, managers do not attempt to meet or slightly beat analyst estimates. Instead, managers often do not forewarn analysts of impending losses, and the analyst's signed error is likely to be negative and extreme (i.e., a measured optimistic bias). Brown (1997 Financial Analysts Journal) shows that the optimistic bias in analyst earnings forecasts has been mitigated over time, and that it is less pronounced for larger firms and firms followed by many analysts. In the present study, I offer three explanations for these temporal and cross-sectional phenomena. First, the frequency of profits versus losses may differ temporally and/or cross-sectionally. Since an optimistic bias in analyst forecasts is less likely to occur when firms report profits, an optimistic bias is less likely to be observed in samples possessing a relatively greater frequency of profits. Second, the tendency to report profits that just meet or slightly beat analyst estimates may differ temporally and/or cross-sectionally. A greater tendency to 'manage profits' (and analyst estimates) in this manner reduces the measured optimistic bias in analyst forecasts. Third, the tendency to forewarn analysts of impending losses may differ temporally and/or cross-sectionally. A greater tendency to 'manage losses' in this manner also reduces the measured optimistic bias in analyst forecasts. I provide the following temporal evidence. The optimistic bias in analyst forecasts pertains to both the entire sample and the losses sub-sample. In contrast, a pessimistic bias exists for the 85.3% of the sample that consists of reported profits. The temporal decrease in the optimistic bias documented by Brown (1997) pertains to both losses and profits. Analysts have gotten better at predicting the sign of a loss (i.e., they are much more likely to predict that a loss will occur than they used to), and they have reduced the number of extreme negative errors they make by two-thirds. Managers are much more likely to report profits that exactly meet or slightly beat analyst estimates than they used to. In contrast, they are less likely to report profits that fall a little short of analyst estimates than they used to. I conclude that the temporal reduction in optimistic bias is attributable to an increased tendency to manage both profits and losses. I find no evidence that there exists a temporal change in the profits-losses mix (using the I/B/E/S definition of reported quarterly profits and losses). I document the following cross-sectional evidence. The principle reason that larger firms have relatively less optimistic bias is that they are far less likely to report losses. A secondary reason that larger firms have relatively less optimistic bias is that their managers are relatively more likely to report profits that slightly beat analyst estimates. The principle reason that firms followed by more analysts have relatively less optimistic bias is that they are far less likely to report losses. A secondary reason that firms followed by more analysts have relatively less optimistic bias is that their managers are relatively more likely to report profits that exactly meet analyst estimates or beat them by one penny. I find no evidence that managers of larger firms or firms followed by more analysts are relatively more likely to forewarn analysts of impending losses. I conclude that cross-sectional differences in bias arise primarily from differential 'loss frequencies,' and secondarily from differential 'profits management.' The paper discusses implications of the results for studies of analysts forecast bias, earnings management, and capital markets. It concludes with caveats and directions for future research.
