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Accounting for Value teaches investors and analysts how to handle accounting in evaluating equity investments. The book's novel approach shows that valuation and accounting are much the same: valuation is actually a matter of accounting for value. Laying aside many of the tools of modern finance the cost-of-capital, the CAPM, and discounted cash flow analysis Stephen Penman returns to the common-sense principles that have long guided fundamental investing: price is what you pay but value is what you get; the risk in investing is the risk of paying too much; anchor on what you know rather than speculation; and beware of paying too much for speculative growth. Penman puts these ideas in touch ...
Lays out the techniques and principles of financial statement analysis, with a focus on the investor. Works from a conceptual framework and provides tools for practical analysis. Illustrates methods with applications to recognisable companies such as Nike, Microsoft, Dell, and Coca-Cola.
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.
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.
Accounting for Risk is about using accounting information to assess risk and the required return for bearing that risk. The focus is on investing in firms and the equity claims on firms: How much should an investor discount the price of a share in a firm for risk, and how can accounting information help to answer that question? That discount is variously called the required return, the expected return, or the cost of capital. The monograph links two strands of research - the first is accounting-based valuation research where value is assessed from expected cash flows, earnings, or residual earnings. The focus has been on forecasting those payoffs however forecasting payoffs is only one part ...
First published in 1996. The relationship between the present discounted value of future cash flows and discounted excess earnings should be viewed as a mathematical property of a double-entry book[1]keeping system based on clean surplus. The purpose of this anthology is to facilitate future research by highlighting these historical developments and by showing how more recent theoretical and empirical research fits into the earlier history. The book is divided into four sections: historical overview; analytical properties of clean surplus; the theory of the clean surplus equation; and empirical implications.
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?
Financial Statement Analysis and the Prediction of Financial Distress discusses the evolution of three main streams within the financial distress prediction literature: the set of dependent and explanatory variables used, the statistical methods of estimation, and the modeling of financial distress. Section 1 discusses concepts of financial distress. Section 2 discusses theories regarding the use of financial ratios as predictors of financial distress. Section 3 contains a brief review of the literature. Section 4 discusses the use of market price-based models of financial distress. Section 5 develops the statistical methods for empirical estimation of the probability of financial distress. Section 6 discusses the major empirical findings with respect to prediction of financial distress. Section 7 briefly summarizes some of the more relevant literature with respect to bond ratings. Section 8 presents some suggestions for future research and Section 9 presents concluding remarks.