Download or read book New Determinants of Analysts Earnings Forecast Accuracy written by Tanja Klettke and published by Springer Science & Business. This book was released on 2014-04-28 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial analysts provide information in their research reports and thereby help forming expectations of a firm’s future business performance. Thus, it is essential to recognize analysts who provide the most precise forecasts and the accounting literature identifies characteristics that help finding the most accurate analysts. Tanja Klettke detects new relationships and identifies two new determinants of earnings forecast accuracy. These new determinants are an analyst’s “general forecast effort” and the “number of supplementary forecasts”. Within two comprehensive empirical investigations she proves these measures’ power to explain accuracy differences. Tanja Klettke’s research helps investors and researchers to identify more accurate earnings forecasts.

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.

Download or read book Introduction to Financial Forecasting in Investment Analysis written by John B. Guerard, Jr. and published by Springer Science & Business Media. This book was released on 2013-01-04 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.

Download or read book Financial Statement Analysis and Earnings Forecasting written by Steven J. Monahan and published by Foundations and Trends (R) in Accounting. This book was released on 2018-07-17 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Statement Analysis and Earnings Forecasting is the process of analyzing historical financial statement data for the purpose of developing forecasts of future earnings. This process is important because it is central to the valuation of companies and the securities they issue. After a short introduction, Section 2 delves into the question "Why earnings"? Focusing on dividend policy irrelevance, the author describes key analytical results that imply that expected earnings are the fundamental determinant of both equity and enterprise value. Section 3 examines the issues involved in selecting the earnings metric to forecast. Once an earnings metric has been chosen, the next question to ask is "How useful are historical accounting numbers for developing forecasts of that metric?" Sections 4 through 8 focus on this question. Section 4 discusses the general role of econometric modeling. Section 5 reviews time-series models. Section 6 examines the choices a researcher makes when using panel-data approaches and the author describes the advantages of these approaches. Section 7 reviews the role of accounting measurement in determining the usefulness of historical accounting numbers for developing forecasts of future earnings. Section 8 examines approaches for forecasting the higher moments of future earnings and section 9 provides a summary.

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 Expectations and the Structure of Share Prices written by John G. Cragg and published by University of Chicago Press. This book was released on 2009-05-15 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: John G. Cragg and Burton G. Malkiel collected detailed forecasts of professional investors concerning the growth of 175 companies and use this information to examine the impact of such forecasts on the market evaluations of the companies and to test and extend traditional models of how stock market values are determined.

Download or read book Estimating the Cost of Capital Implied by Market Prices and Accounting Data written by Peter Easton and published by Now Publishers Inc. This book was released on 2009 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estimating the Cost of Capital Implied by Market Prices and Accounting Data focuses on estimating the expected rate of return implied by market prices, summary accounting numbers, and forecasts of earnings and dividends. Estimates of the expected rate of return, often used as proxies for the cost of capital, are obtained by inverting accounting-based valuation models. The author describes accounting-based valuation models and discusses how these models have been used, and how they may be used, to obtain estimates of the cost of capital. The practical appeal of accounting-based valuation models is that they focus on the two variables that are commonly at the heart of valuations carried out by equity analysts -- forecasts of earnings and forecasts of earnings growth. The question at the core of this monograph is -- How can these forecasts be used to obtain an estimate of the cost of capital? The author examines the empirical validity of the estimates based on these forecasts and explores ways to improve these estimates. In addition, this monograph details a method for isolating the effect of any factor of interest (such as cross-listing, fraud, disclosure quality, taxes, analyst following, accounting standards, etc.) on the cost of capital. If you are interested in understanding the academic literature on accounting-based estimates of expected rate of return this monograph is for you. Estimating the Cost of Capital Implied by Market Prices and Accounting Data provides a foundation for a deeper comprehension of this literature and will give a jump start to those who have an interest in these topics. The key ideas are introduced via examples based on actual forecasts, accounting information, and market prices for listed firms, and the numerical examples are based on sound algebraic relations.

Download or read book EVA written by Al Ehrbar and published by John Wiley & Sons. This book was released on 1998-10-15 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: EVA ("economic value added" - wirtschaftliche Wertschöpfung) ist eine Maßeinheit zur Ermittlung des echten Finanzergebnisses eines Unternehmens und eine Strategie zur Schaffung von Unternehmens- und Aktionärsvermögen. Das EVA-Prinzip besagt, daß ein Unternehmen kein Vermögen schafft, solange es nicht in der Lage ist, Gewinne einzufahren, die höher sind als die Kapitalkosten. EVA ist auch eine Methode, die Prioritäten innerhalb eines Unternehmens so zu gewichten, daß das Hauptaugenmerk auf der Schaffung von Vermögen liegt, und zwar zum Nutzen aller. Leicht verständlich geschrieben, mit zahlreichen Fallbeispielen bekannter Firmen und einem Minimum an Gleichungen und Finanzjargon. (11/98)

Download or read book Accounting for M A written by Amir Amel-Zadeh and published by Routledge. This book was released on 2020-04-29 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spending on M&A has, in aggregate, grown so fast that it has even overtaken capital expenditure on increasing and maintaining physical assets. Yet McKinsey, the leading management consultancy, reports that "Anyone who has researched merger success rates knows that roughly 70% fail". The idea that businesses might be using huge and increasing sums of shareholders’ money for an activity that more often than not leads to failure calls into question the information on which M&A decisions are based. This book presents statistical studies, case material, and standard-setters’ opinions on company accounting before, during, and after M&A. It documents the manipulation of annual accounts by acquirers ahead of share for share bids, biased forecasts of post-merger earnings by bidders, and devices to flatter earnings when recording the deal. It explores the challenges for standard-setters in regulating information flows during and after M&A, and for account-users wishing to learn from financial statements how a deal has affected performance. Drawing on a wide range of international examples, this readable book is targeted not just at accounting specialists but at anyone who is comfortable reading the serious financial press, is intrigued by what is going on in the massive M&A market, and is concerned with achieving better-informed M&A. As such it might be of particular interest to business executives, lawyers, bankers, and investors involved in M&A as well as graduate students interested in researching or learning about the role of accounting in M&A.

Download or read book Business Analysis and Valuation written by Sue Joy Wright and published by . This book was released on 2014 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Analysis and Valuation has been developed specifically for students undertaking accounting Valuation subjects. With a significant number of case studies exploring various issues in this field, including a running chapter example, it offers a practical and in-depth approach. This second edition of the Palepu text has been revitalised with all new Australian content in parts 1-3, making this edition predominantly local, while still retaining a selection of the much admired and rigorous Harvard case studies in part 4. Retaining the same author team, this new edition presents the field of valuation accounting in the Australian context in a clear, logical and thorough manner.

Download or read book Accounting for Income Taxes written by John R. Graham and published by Now Pub. This book was released on 2012-11-09 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accounting for Income Taxes is the most comprehensive review of AFIT research. It is designed both to introduce new scholars to this field and to encourage active researchers to expand frontiers related to accounting for income taxes. Accounting for Income Taxes includes both a primer about the rules governing AFIT (Sections 3-4) and a review of the scholarly studies in the field (Sections 5-8). The primer uses accessible examples and clear language to express essential AFIT rules and institutional features. Section 3 reviews the basic rules and institutional details governing AFIT. Section 4 discusses ways that researchers, policymakers, and other interested parties can use the tax information in financial statements to better approximate information in the tax return. The second half of the monograph reviews the extant scholarly studies by splitting the research literature into four topics: earnings management, the association between book-tax differences and earnings characteristics, the equity market pricing of information in the tax accounts, and book-tax conformity. Section 5 focuses on the use of the tax accounts to manage earnings through the valuation allowance, the income tax contingency, and permanently reinvested foreign earnings. Section 6 discusses the association between book-tax differences and earnings characteristics, namely earnings growth and earnings persistence. Section 7 explores how tax information is reflected in share prices. Section 8 reviews the increased alignment of accounting for book purposes and tax purposes. The remainder of the paper focuses on topics of general interest in the economics and econometric literatures. Section 9 highlights some issues of general importance including a theoretical framework to interpret and guide empirical AFIT studies, the disaggregated components of book-tax differences and research opportunities as the U.S. moves toward International Financial Reporting Standards (IFRS). Section 10 discusses econometric weaknesses that are common in AFIT research and proposes ways to mitigate their deleterious effects.

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 Financial Statement Analysis and Security Valuation written by Stephen H. Penman and published by . This book was released on 2010 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Valuation is at the heart of investing. A considerable part of the information for valuation is in the financial statements.Financial Statement Analysis and Security Valuation, 5 e by Stephen Penman shows students how to extract information from financial statements and use that data to value firms. The 5th edition shows how to handle the accounting in financial statements and use the financial statements as a lens to view a business and assess the value it generates.

Download or read book Computer Intensive Methods for Testing Hypotheses written by Eric W. Noreen and published by Wiley-Interscience. This book was released on 1989-05-02 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and nonstatisticians alike. The significance of almost any test can be assessed using one of the methods presented here, for the techniques given are very general (e.g. virtually every nonparametric statistical test is a special case of one of the methods covered). Programs presented are brief, easy to read, require minimal programming, and can be run on most PC's. They also serve as templates adaptable to a wide range of applications. Includes numerous illustrations of how to apply computer-intensive methods.

Download or read book Time Series Analysis and Its Applications written by Robert H. Shumway and published by . This book was released on 2014-01-15 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Capital and Rates of Return in Manufacturing Industries written by George Joseph Stigler and published by . This book was released on 1975 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Determinants of Earnings Forecast Error Earnings Forecast Revision and Earnings Forecast Accuracy written by Sebastian Gell and published by Springer Science & Business Media. This book was released on 2012-03-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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?