EVA

EVA
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)

Heuristics and Biases

Heuristics and Biases
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.

Financial Statement Analysis and Earnings Forecasting

Financial Statement Analysis and Earnings Forecasting
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.

Tech Stock Valuation

Tech Stock Valuation
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

Accounting for M&A

Accounting for M&A
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.

Earnings Management

Earnings Management
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?

Early Warning Indicators of Corporate Failure

Early Warning Indicators of Corporate Failure
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?