EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book Management Earnings Forecast Disclosure

Download or read book Management Earnings Forecast Disclosure written by Nashwa Elgallab George and published by . This book was released on 1988 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Management Earnings Forecasts

Download or read book Management Earnings Forecasts written by Hwa Deuk Yi and published by . This book was released on 1994 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Public Disclosure of Corporate Earnings Forecasts

Download or read book Public Disclosure of Corporate Earnings Forecasts written by Francis A. Lees and published by . This book was released on 1981 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book An Analysis of the Reliability of Management Earnings Forecasts Published in Alternative Formats and Investigation of Selected Management Forecast Disclosure Practices

Download or read book An Analysis of the Reliability of Management Earnings Forecasts Published in Alternative Formats and Investigation of Selected Management Forecast Disclosure Practices written by William C. Boynton and published by . This book was released on 1976 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Consequences of Management Earnings Forecast Regulation

Download or read book The Consequences of Management Earnings Forecast Regulation written by Bin Ke and published by . This book was released on 2019 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine the consequences of a management earnings forecast regulation implemented in a staggered manner. The regulation substantially increases the directly affected firms' frequency of management forecasts. Nevertheless, approximately 14% of the directly affected firms fail to comply with the regulation (noncompliant firms). The regulation helps increase the stock price informativeness of the directly affected firms that issue a forecast. The regulation also helps increase the stock price informativeness of the noncompliant firms (a spillover), but we find no evidence of a similar spillover for the firms that are not required to issue mandatory forecasts in the post-regulation period.

Book Handbook Of Financial Econometrics  Mathematics  Statistics  And Machine Learning  In 4 Volumes

Download or read book Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and published by World Scientific. This book was released on 2020-07-30 with total page 5053 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book The Effect of Confirming Management Earnings Forecasts on Cost of Capital

Download or read book The Effect of Confirming Management Earnings Forecasts on Cost of Capital written by Michael B. Clement and published by . This book was released on 2001 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the market response to confirming forecasts. Confirming management forecasts are voluntary disclosures by management that corroborate existing market expectations about future earnings. The study of confirming forecasts is important because it can provide evidence on the relation between voluntary disclosure and cost of capital. We find that the market's reaction to confirming forecasts is significantly positive, indicating that benefits may accrue to firms that disclose such forecasts. In addition, while we find no significant change in the mean consensus forecasts (a proxy for earnings expectations) around the confirming forecast date, evidence indicates a significant reduction in the mean and median consensus analyst dispersion (a proxy for earnings uncertainty). Finally, we document a positive association between reduction of dispersion of analysts' forecasts and the magnitude of the stock market response.

Book Risk Based Forecasting and Planning and Management Earnings Forecasts

Download or read book Risk Based Forecasting and Planning and Management Earnings Forecasts written by Christopher D. Ittner and published by . This book was released on 2017 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the association between a firm's internal information environment and the accuracy of its externally-disclosed management earnings forecasts. Internally, firms use forecasts to plan for uncertain futures. The risk management literature argues that integrating risk-related information into forecasts and plans can improve a firm's ability to forecast future financial outcomes. We investigate whether this internal information manifests itself in the accuracy of external earnings guidance. Using detailed survey data and publicly-disclosed management earnings forecasts from a sample of publicly-traded U.S. companies, we find that more sophisticated risk-based forecasting and planning processes are associated with smaller earnings forecast errors and narrower forecast widths. These associations hold across a variety of different planning horizons (ranging from annual budgeting to long-term strategic planning), providing empirical support for the theoretical link between internal information quality and the quality of external disclosures.

Book Voluntary Management Earnings Forecasts

Download or read book Voluntary Management Earnings Forecasts written by Hark-Ppin Yhim and published by . This book was released on 1994 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Detailed Management Earnings Forecasts

Download or read book Detailed Management Earnings Forecasts written by Kenneth J. Merkley and published by . This book was released on 2014 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide archival evidence on how a particular type of supplementary information affects the credibility of management earnings forecasts. Managers often provide detailed forecasts of specific income statement line items to shed light on how they plan to achieve their bottom-line earnings targets. We assess the effect of this forecast disaggregation on the credibility of management earnings forecasts. Based on a relatively large hand-collected sample of 900 management earnings forecasts, we find that disaggregation increases analysts' sensitivity to the news in managers' earnings guidance, suggesting that analysts find the guidance more credible. More importantly, we identify several factors that influence this relation. First, disaggregation plays a more important role when earnings are otherwise more difficult to forecast. Second, disaggregation is more important after Regulation Fair Disclosure prohibited selective disclosure, especially for firms that were more affected because they had previously provided more private guidance. Finally, in contrast to common assertions in the prior literature, we find that in more recent years, disaggregation matters more for guidance that conveys bad news. Managers as well as researchers should be interested in evidence suggesting that financial analysts find disaggregation especially helpful in contexts where managers' credibility is particularly important.

Book Management Earnings Expectations  Earnings Uncertainty and Voluntary Disclosure of Earnings Forecasts by Management

Download or read book Management Earnings Expectations Earnings Uncertainty and Voluntary Disclosure of Earnings Forecasts by Management written by Jung Ho Choi and published by . This book was released on 1987 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book On the Association Between Corporate Voluntary Disclosure and Earnings Management

Download or read book On the Association Between Corporate Voluntary Disclosure and Earnings Management written by Ron Kasznik and published by . This book was released on 1995 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Ex Post Bias in Management Earnings Forecasts

Download or read book Ex Post Bias in Management Earnings Forecasts written by Afshad J. Irani and published by . This book was released on 1999 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates the effect of proprietary information, disclosure-related legal liability, earnings variability, financial distress, and external financing on bias in management earnings forecasts. Bias, specifically ex post bias (as is referred to in the management forecast literature), exists if the expected value of the observed management earnings forecasts differs from actual earnings. The effect of the test variables on ex post bias is investigated by examining whether a firm's forecast error (measure of ex post bias and defined as actual earnings minus management earnings forecast) is a function of the aforementioned variables. Proprietary information, disclosure-related legal liability, and earnings variability are hypothesized to be positively associated with ex post bias, while external financing and financial distress are expected to be negatively correlated. All the independent variables are measured using public information available at the time that the financial statements are released.Using a sample of 267 management earnings forecasts released during the period 1990-95 in the first three quarters of the fiscal year, I find that these forecasts are on average optimistic. Results from the multivariate regression analysis find that three of the five factors, proprietary information, financial distress and earnings variability, are significant in explaining ex post bias. For the most part, these findings are robust across various sub-samples.

Book Management Earnings Forecasts and the Quality of Analysts  Forecasts

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.

Book The Determinants and Consequences of Managerial Earnings Guidance Prior to Regulation Fair Disclosure

Download or read book The Determinants and Consequences of Managerial Earnings Guidance Prior to Regulation Fair Disclosure written by Amy P. Hutton and published by . This book was released on 2002 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Prior to Regulation Fair Disclosure some management spent considerable time and effort guiding analyst earnings estimates; other management did not. In this paper I examine the determinants and consequences of management's decision to work with analysts in the development of their earnings estimates using proprietary survey data from the National Investor Relations Institute. Findings suggest that when earnings are important to valuation but hard to forecast because businesses and financial transactions are complex, management is more likely to provide assistance to analysts presumably to avoid inaccurate analyst forecasts and negative earnings surprises. A comparison of guided and unguided analyst forecasts indicates that guided quarterly earnings forecasts are more accurate but also more frequently pessimistic, consistent with analysts rationally trading offbias for accuracy to retain access to management's earnings guidance. Cross-sample comparisons of analysts' stock recommendations and long-term growth forecasts provide additional support for the hypothesis that analyst objectivity and independence is affected by management's decision to provide earnings guidance. Finally, evidence from stock price reactions to deviations from the consensus forecast (the traditional measure of earnings surprises) indicates that investors distinguish between guided and unguided analyst forecasts when forming their earnings expectations. This study furthers our understanding of what factors affect management's disclosure choices and how managers' disclosure choices influence the objectivity and independence of sell-side analysts.