The study provides evidence on the relative accuracy of forecasts of earnings generated from five sources including statistical models and financial analysts. The statistical models were chosen on the basis of their usage in recent studies in the literature. The results indicate that the five types of forecasts are not significantly different using a multivariate testing procedure.
The study compares the forecast accuracy of financial analysts, ARIMA models, and various permier models considered in the literature in the predicting of annual earnings per share. Various refinements were made of previously used methodologies. The results of the multivariate analysis indicated that financial analysts provide the most accurate forecasts. In addition, the divergence in accuracy between the various sources of forecasts tend to decrease as the end of the year approaches, while at the same time there is a general increase in accuracy. Also specific results are provided for individual model performance.
Not as in trying to get work as a teller, but applying mathematical and economic tools to optimization in portfolio management, regulatory issues in financial product management, and investment management issues in both domestic and international markets. In eight studies, examines principles for controlling asset liability management strategies in banks and insurance companies; a unified approach to performance attribution, volatility; diversifying earnings forecast errors through composites of market-based analyst and time-series predictions, the valuation of cross-currency interest-sensitive claims with application to Diff swaps, and other topics. Double spaced. No index. Annotation copyrighted by Book News, Inc., Portland, OR
The definitive source of information on all topics related to investment valuation tools and techniques Valuation is at the heart of any investment decision, whether that decision is buy, sell or hold. But the pricing of many assets has become a more complex task in modern markets, especially after the recent financial crisis. In order to be successful at this endeavor, you must have a firm understanding of the proper valuation techniques. One valuation book stands out as withstanding the test of time among investors and students of financial markets, Aswath Damodaran'sInvestment Valuation. Now completely revised and updated to reflect changing market conditions, this third edition comprehensively introduces investment professionals and students to the range of valuation models available and how to chose the right model for any given asset valuation scenario. This edition includes valuation techniques for a whole host of real options, start-up firms, unconventional assets, distressed companies and private equity, and real estate. All examples have been updated and new material has been added. Fully revised to incorporate valuation lessons learned from the last five years, from the market crisis and emerging markets to new types of equity investments Includes valuation practices across the life cycle of companies and emphasizes value enhancement measures, such as EVA and CFROI Contains a new chapter on probabilistic valuation techniques such as decision trees and Monte Carlo Simulation Author Aswath Damodaran is regarded as one of the best educators and thinkers on the topic of investment valuation This indispensable guide is a must read for anyone wishing to gain a better understanding of investment valuation and its methods. With it, you can take the insights and advice of a recognized authority on the valuation process and immediately put them to work for you.
Financial analysis, based on ratio analysis, has been used as a tool for analyzing the financial strength of corporations. Although ratio analysis is generally used as a univariate strategy, the accounting and finance literature has evolved to include multivariate-based models in financial analysis, and these models can be used to explain important economic events and often predict them. Thus, in an exhaustive coverage of the economic events to which they can be applied, Riahi-Belkaoui discusses these models in a way that will have special value to corporate management, financial planners, and to their colleagues in the academic community who specialize in business and economic analysis.
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.
Updated edition of the definitive guide to investment valuation tools and techniques Investment Valuation: Tools and Techniques for Determining the Value of Any Asset delves into valuation techniques for a variety of different asset classes, including real options, start-up firms, unconventional assets, distressed companies and private equity, real estate, and many more, and explains how to choose the right model for any given asset valuation scenario. The models are presented with real-world examples so as to capture some of the problems inherent in applying these models, with discussion of differences and common elements between the models to provide readers with a holistic understanding of the subject matter. Written by a professor of finance who is widely regarded as one of the best educators and thinkers on the topic of investment valuation, this newly revised and updated Fourth Edition explores topics including: Understanding financial statements, the basics of risk, and tests and evidence for market efficiency Estimating risk parameters and costs of financing, terminal value, and equity value per share Using scenario analysis, decision trees, and simulations for probabilistic approaches in valuation Investment Valuation: Tools and Techniques for Determining the Value of Any Asset is an essential resource for all investors and students of financial markets seeking an all-in-one guide to expand their valuation knowledge and make better investment decisions.
This book is about managing the task of forecasting profit. It builds a case for using multiple methods, providing examples of each method, and suggesting practical techniques to use in dealing with the issues and problems of accuracy in profit forecasts. All the elements that infringe on profits (costs, sales, budgeting, investment, and loan default) are examined within this framework. In addition to synthesizing the research, Professor Metcalfe has applied his own research work on forecast modeling and judgmental methods. The final result is a practical reference book for making more accurate profit forecasts.
