Time Series Analysis and Its Applications
Author | : Robert H. Shumway |
Publisher | : |
Total Pages | : 568 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9781475732627 |
Download An Empirical Analysis Of Forecasts Of Earnings Per Share full books in PDF, epub, and Kindle. Read online free An Empirical Analysis Of Forecasts Of Earnings Per Share ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Robert H. Shumway |
Publisher | : |
Total Pages | : 568 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9781475732627 |
Author | : Al Ehrbar |
Publisher | : John Wiley & Sons |
Total Pages | : 264 |
Release | : 1998-10-15 |
Genre | : Business & Economics |
ISBN | : 9780471298601 |
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)
Author | : Thomas Gilovich |
Publisher | : Cambridge University Press |
Total Pages | : 884 |
Release | : 2002-07-08 |
Genre | : Education |
ISBN | : 9780521796798 |
This book, first published in 2002, compiles psychologists' best attempts to answer important questions about intuitive judgment.
Author | : Steven J. Monahan |
Publisher | : Foundations and Trends (R) in Accounting |
Total Pages | : 124 |
Release | : 2018-07-17 |
Genre | : |
ISBN | : 9781680834505 |
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.
Author | : Mark Hirschey |
Publisher | : Elsevier |
Total Pages | : 291 |
Release | : 2003-09-18 |
Genre | : Business & Economics |
ISBN | : 0080492339 |
Tech Stock Valuation extends the R&D literature by providing detailed direct evidence on the market value implications of inventive and innovative output. Specifically, the text demonstrates that stock-price effects of patent output are most pronounced in the case of high-quality patents, where patent quality is measured by scientific merit. Scientific measures of patent quality give students a valuable new tool that can be used to measure R&D program effectiveness. At the same time, it gives investors a new tool to help them assess the value of hard-to-measure intangible assets. The book is an ideal resource for professionals working in finance and accounting; investment professionals and industry analysts who work for companies that engage in research and development; MBA students; economists working in industrial organizations, microeconomics, and contract theory. - Provides detailed direct evidence on the market value implications of inventive and innovative output - Based on recent research, much of which Dr. Hirschey has pioneered - Gives financial professionals a new tool for assessing R&D quality and its relation to market valuation
Author | : Amir Amel-Zadeh |
Publisher | : Routledge |
Total Pages | : 331 |
Release | : 2020-04-29 |
Genre | : Business & Economics |
ISBN | : 1000066525 |
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.
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 | : Richard Morris |
Publisher | : Routledge |
Total Pages | : 425 |
Release | : 2018-12-17 |
Genre | : Social Science |
ISBN | : 0429857934 |
Published in 1997, this text focuses on the conundrum between the academics ability to distinguish between failing and non-failing businesses with models of over 85.5per cent accuracy, and the reasons why credit agencies and the like do not act on such information. The author asks, are the models defective?
Author | : John Edward Schlater |
Publisher | : |
Total Pages | : 480 |
Release | : 1977 |
Genre | : Dividends |
ISBN | : |