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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.
Accounting Standards (US and International) have been updated to reflect the latest pronouncements. * An increased international focus with more coverage of IASC and non-US GAAPs and more non-US examples.
An innovative new valuation framework with truly useful economic indicators The End of Accounting and the Path Forward for Investors and Managers shows how the ubiquitous financial reports have become useless in capital market decisions and lays out an actionable alternative. Based on a comprehensive, large-sample empirical analysis, this book reports financial documents' continuous deterioration in relevance to investors' decisions. An enlightening discussion details the reasons why accounting is losing relevance in today's market, backed by numerous examples with real-world impact. Beyond simply identifying the problem, this report offers a solution—the Value Creation Report—and demonstrates its utility in key industries. New indicators focus on strategy and execution to identify and evaluate a company's true value-creating resources for a more up-to-date approach to critical investment decision-making. While entire industries have come to rely on financial reports for vital information, these documents are flawed and insufficient when it comes to the way investors and lenders work in the current economic climate. This book demonstrates an alternative, giving you a new framework for more informed decision making. Discover a new, comprehensive system of economic indicators Focus on strategic, value-creating resources in company valuation Learn how traditional financial documents are quickly losing their utility Find a path forward with actionable, up-to-date information Major corporate decisions, such as restructuring and M&A, are predicated on financial indicators of profitability and asset/liabilities values. These documents move mountains, so what happens if they're based on faulty indicators that fail to show the true value of the company? The End of Accounting and the Path Forward for Investors and Managers shows you the reality and offers a new blueprint for more accurate valuation.
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.