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.
Christian Funke aims at developing a better understanding of a central asset pricing issue: the stock price discovery process in capital markets.
... R., 218, 286, 287 Rolph, D., 374 Rosenberg, B., 164, 302 Rosenberg, J. V., 404–6 Rosenblatt, M., 136 Rosenfeld, E., 374, 380 Ross, S., 5–6, 20, 24, 31, 197n, 246, 276, 300, 321, 321n, 331, 334 Rossi, P., 153, 156–57, 166 Rotemberg, ...
In this Open-Access-book three essays on empirical asset pricing in international equity markets are presented.
This book analyzes the verification of empirical asset pricing models when returns of securities are projected onto a set of presumed (or observed) factors.
Burnside, Craig, Martin Eichenbaum, and Sergio Rebelo, 1993, ''Labor Hoarding and the Business Cycle,'' Journal of Political Economy 101, 245–373. Campbell, John Y., 1991, ''A Variance Decomposition for Stock Returns,'' Economic Journal ...
Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing.
The book shows how models make predictions not only about asset prices but also about investors’ financial positions, and how they often draw on insights from behavioral economics.
Haim Levy argues that the tension between the classic financial models and behavioral economics approaches is more apparent than real. This book aims to relax the tension between the two paradigms.