Download or read book The Effect of Analysts Forecasts on Earnings Management in Financial Institutions written by Sean W.G. Robb and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: I test a market consensus hypothesis about earnings management in the banking industry. This hypothesis states that when analysts have reached a consensus in their earnings forecasts, managers have an incentive to manage earnings through the use of discretionary accruals to achieve market expectations. A sample of banks is partitioned based on the degree of forecaster consensus and the behavior of one discretionary accrual, the loan loss provision, is predicted for each partition. The results suggest bank managers make greater use of the loan loss provision to manipulate earnings in a discretionary manner when analysts have reached a consensus in their earnings predictions.

Download or read book Financial Analysts Forecasts and Stock Recommendations written by Sundaresh Ramnath and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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 Management Earnings Forecasts and the Quality of Analysts Forecasts written by Carol Liu and published by . This book was released on 2013 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates whether effective audit committees influence the association between management earnings forecasts and the properties of analysts" forecasts. We posit that this influence on the part of an audit committee would likely result from increased responsibility for monitoring voluntary disclosure. Using the four attributes that the Blue Ribbon Committee (1999) and prior research suggest as being indicative of audit committee effectiveness, we find that analysts" forecasts exhibit higher accuracy and lower dispersion with the issuance of management forecasts for those firms employing audit committees that are composed exclusively of independent directors, include an accounting expert, and act with due diligence. We also find that effective audit committees strengthen the association between management and analyst forecast accuracy. Our evidence, therefore, supports the notion that effective corporate governance influences the reliability of voluntary disclosure, and thereby benefits the users of financial information.

Download or read book Advances in Quantitative Analysis of Finance and Accounting New Series Vol 12 written by Cheng F. Lee and published by Center for PBBEFR & Airiti Press. This book was released on 2014-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession.

Download or read book Analyst Forecasts Earnings Management and Insider Trading Patterns written by Garen Markarian and published by VDM Publishing. This book was released on 2008 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: For at least two decades, it was believed that making managers into owners could ameliorate many agency conflicts existing in capital markets settings. In fact, it now appears that managerial ownership of stock itself may encourage earnings manipulations. In this study, we show that CEO insider trading, earnings manipulations, and the ability to meet and exceed market benchmarks are all interrelated. Managers manipulate earnings to exceed analyst earnings forecasts. Additionally, managerial insider selling increases with performance relative to analyst forecasts, and is magnified by stock option holdings. Insider selling is more intense among managers who have used earnings manipulations to exceed forecasts. Additionally, managers who sell following the announcement of an earnings surprise are able to earn abnormal profits. Firms having both positive earnings surprises and insider selling exhibit lower subsequent accounting performance. This study is of interest to academics, practitioners who are interested in the finer mechanisms of markets, and advanced finance students, alike.

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 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 The Effect of Macro Information Environment Change on the Quality of Management Earnings Forecasts written by Stephen P. Baginski and published by . This book was released on 2014 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1990s were characterized by substantial increases in the performance of and investor reliance on financial analysts. Because managers possess superior private information and issue forecasts to align investors' expectations with their own, we predict that managers increased the quality of their earnings forecasts during the 1990s in order to keep pace with the improved forward-looking information provided by financial analysts, upon which investors increasingly relied.Using a sample of 2,437 management earnings forecasts, we document an increase in management earnings forecast precision, management earnings forecast accuracy, and managers' tendency to explain earnings forecasts in 1993-1996 relative to 1983-1986. Given that these forecast characteristics are linked to greater informativeness and credibility, we also document that the information content of management earnings forecasts, as measured by the strength of share price responses to forecast news, increased in 1993-1996 relative to 1983-1986. As expected, the increased information content of management forecasts primarily occurred for firms covered by financial analysts.

Download or read book Earnings Management Forecast Guidance and the Banking Crisis written by Elena Beccalli and published by . This book was released on 2014 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies earnings management and forecast guidance activities of European banks between 2004 and 2008. Using 22,564 analyst forecasts for 55 banks we find that the proportion of banks hitting or beating analyst consensus fell from 68.22% pre-crisis to 28.13% during the crisis. Banks enjoy higher CARs when they hit analyst consensus only in the crisis. Earnings management is evident pre- but not during the crisis - it has no CAR effects. Forecast guidance increases the probability of hitting benchmark earnings and during the crisis yields higher CARs. Earnings management and forecast guidance act as complements in the crisis period.

Download or read book Advances in Financial Planning and Forecasting written by Cheng-Few Lee and published by Center for PBBEFR & Airiti Press. This book was released on 2008-12-01 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession. The papers in this volume cover a wide range of topics including corporate finance and debt management, earnings management, equity market, auditing, option pricing theory, and interest rate theory. In this volume there are eleven chapters, five of them are corporate finance and debt management: 1. Liquidity and Adverse Selection: Evidence from the Five-or-Fewer Rule Change; 2. Changing Business Environment and the Value of Relevance of Accounting Information; 3. Pricing Risky Securities in Hidden Markov-Modulated Poisson Processes; 4. An Empirical Assessment of Alternative Dividend Expectation Models; 5. Quantitative Market Risk Disclosure, Bond Default Risk and The Cost of Debt: Why Value At Risk? There are two of the other six chapters which cover interest rate theory: 1. Positive Interest Rates and Yields: Additional Serious Considerations; 2. Collapse of Dimensionality in the Interest Rate Term Structure. The remaining four chapters cover financial analysts earnings forecasts, equity market, auditing, and option pricing theory. These four papers are: 1. Investors’ Apparent Under-weighting of Financial Analysts’ Earnings Forecasts: The Role of Share Price Scaling and Omitted Risk Factors; 2. Predicting Stock Price by Applying the Residual Income Model and Bayesian Statistics; 3. Intertemporal Associations Between Non-Audit Services and Auditors’ Tendency to Allow Discretionary Accruals; 4. Put Option Portfolio Insurance vs. Asset Allocation.

Download or read book Earnings Management and Its Impact on the Information Content of Earnings and the Properties of Analysts Forecasts written by Jinhan Pae and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Earnings Management and Its Impact on the Information Content of Earnings and the Properties of Analysts Forecasts written by and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Analysts Forecasts as Earnings Expectations Classic Reprint written by Patricia C. O'Brien and published by Forgotten Books. This book was released on 2018-02-26 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt from Analysts' Forecasts as Earnings Expectations Analysts' forecasts of earnings are increasingly used in accounting and finance research as expectations data, to proxy for the unobservable market expectation of a future 'realization. 'since a diverse set of forecasts is available at any time for a given firm's earnings. Composites are used to distill the information from the diverse set into a single expectation. This paper considers the relative merits of several composite forecasts as expectations data. One of the primary results is that the most current forecast available outperforms more commonly used aggregations such as the mean or the median. Mthis result is consistent-with forecasters incorporating information from others' previous predictions into their own. It also suggests that the forecast date, which previous research has largely ignored, is a characteristic relevant for distinguishing better forecasts. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Download or read book The Impact of Earnings Management on the Performance of Earnings Based Valuation Models written by Yao Tian and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this study is to examine empirically how the presence of earnings management may affect firm valuation. We compare the performance of earnings-based (e.g., Residual Income Model, RIM) and non-earnings-based (e.g., Discounted Cash Flow, DCF) valuation models, measured by absolute percentage pricing errors and absolute percentage valuation errors, for two subsets of publicly traded US firms: "Suspect" firms that are likely to have engaged in earnings management and “Normal” firms matched on industry, year and size. When valuation models use only analysts' short-term earnings forecasts as model inputs, results indicate that earnings management adversely affects the RIM model's ability to estimate a firm's intrinsic value while leaving that of DCF unchanged. We contribute to the valuation literature by showing that the well-known superiority of the RIM model over DCF does not hold when earnings are managed. By comparison, if the valuation model also includes analysts' long-term target price forecasts, RIM does not enjoy any economically significant accuracy advantage over DCF, with or without the presence of earnings management. Over a longer forecast horizon, financial analysts appear to account for the impact of earnings management on firms' future values by adjusting their target price forecasts. We extend the earnings management literature by demonstrating that the way analysts react to earnings management over short to long-term forecast horizons has different implications for the estimation ability of RIM vis-à-vis DCF models.

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.

Download or read book Advances in Quantitative Analysis of Finance and Accounting written by Cheng-Few Lee and published by Center for PBBEFR & Airiti Press. This book was released on 2009-01-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession. The papers in this volume cover a wide range of topics including corporate finance and debt management, earnings management, equity market, auditing, option pricing theory, and interest rate theory. In this volume there are eleven chapters, five of them are corporate finance and debt management: 1. Liquidity and Adverse Selection: Evidence from the Five-or-Fewer Rule Change; 2. Changing Business Environment and the Value of Relevance of Accounting Information; 3. Pricing Risky Securities in Hidden Markov-Modulated Poisson Processes; 4. An Empirical Assessment of Alternative Dividend Expectation Models; 5. Quantitative Market Risk Disclosure, Bond Default Risk and The Cost of Debt: Why Value At Risk? There are two of the other six chapters which cover interest rate theory: 1. Positive Interest Rates and Yields: Additional Serious Considerations; 2. Collapse of Dimensionality in the Interest Rate Term Structure. The remaining four chapters cover financial analysts earnings forecasts, equity market, auditing, and option pricing theory. These four papers are: 1. Investors’ Apparent Under-weighting of Financial Analysts’ Earnings Forecasts: The Role of Share Price Scaling and Omitted Risk Factors; 2. Predicting Stock Price by Applying the Residual Income Model and Bayesian Statistics; 3. Intertemporal Associations Between Non-Audit Services and Auditors’ Tendency to Allow Discretionary Accruals; 4. Put Option Portfolio Insurance vs. Asset Allocation.