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.

This paper describes the first thorough analysis of the interest risk of German banks on an individual bank level. We develop a new method that is based on time series of accountingbased data to quantify the interest risk of banks and apply it to analyze the German banking system. We find evidence that our model yields a significantly better fit of banks' internally quantified interest rate risk than a standard approach that relies on one-point-in-time data, and that the interest rate risk differs between banks of different size and banking group. Additionally, we find structural differences between trading book and non-trading book institutions.

This book provides the first extensive analytic comparison between models and results from econophysics and financial economics in an accessible and common vocabulary. Unlike other publications dedicated to econophysics, it situates this field in the evolution of financial economics by laying the foundations for common theoretical framework and models.

Nils Eikelmann describes the framework conditions for the application of value-based performance measures and critically analyses selected ones. The disclosure of value-based performance indicators is important in order to demonstrate the successful management of a company and to satisfy the increasing information needs of investors. However, companies adapt the developed theoretical concepts of value-based performance measures to their practical needs and thus investors are no longer able to compare the performance of companies. In addition, there is a variety of different metrics from which companies can choose. The empirical study aims to reduce existing research gaps and is divided into three parts: the analysis of annual reports of selected European companies, the calculation of a standardised value-based performance measure and a value relevance study in the form of an association study.

The cash flows of growth stocks are particularly sensitive to temporary movements in aggregate stock prices (driven by movements in the equity risk premium), while the cash flows of value stocks are particularly sensitive to permanent movements in aggregate stock prices (driven by market-wide shocks to cash flows.) Thus the high betas of growth stocks with the market's discount-rate shocks, and of value stocks with the market's cash-flow shocks, are determined by the cash-flow fundamentals of growth and value companies. Growth stocks are not merely "glamour stocks" whose systematic risks are purely driven by investor sentiment. More generally, accounting measures of firm-level risk have predictive power for firms' betas with market-wide cash flows, and this predictive power arises from the behavior of firms' cash flows. The systematic risks of stocks with similar accounting characteristics are primarily driven by the systematic risks of their fundamentals.

Updated for new accounting and auditing guidance issued, this valuable tool provides hundreds of high quality disclosure examples from carefully selected U.S. companies of different sizes, across industries such as banking, credit and insurance, communication services, and healthcare from such organizations as Scotts Miracle-Gro, Coca-Cola, Caterpillar, and BB&T. Illustrations of the most important, immediate, and challenging disclosures, such as derivatives and hedging, consolidations, and fair value measurement are provided. Hot topics include statement of cash flows, going concern, and business combinations and intangibles. This edition also provides clear, direct guidance to help you understand and comply with all significant reporting requirements and detailed indexes to help you quickly find exactly what you need.