Empirical Asset Pricing

Empirical Asset Pricing

Author: Wayne Ferson

Publisher: MIT Press

Published: 2019-03-12

Total Pages: 497

ISBN-13: 0262039370

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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.


Forecasting Expected Returns in the Financial Markets

Forecasting Expected Returns in the Financial Markets

Author: Stephen Satchell

Publisher: Elsevier

Published: 2011-04-08

Total Pages: 299

ISBN-13: 0080550673

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Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives


Asset Pricing

Asset Pricing

Author: Hsien-hsing Liao

Publisher: World Scientific

Published: 2003

Total Pages: 265

ISBN-13: 9812795618

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Real estate finance is a fast-developing area where top quality research is in great demand. In the US, the real estate market is worth about US$4 trillion, and the REITs market about US$200 billion; tens of thousands of real estate professionals are working in this area. The market overseas could be considerably larger, especially in Asia. Given the rapidly growing real estate securities industry, this book fills an important gap in current real estate research and teaching. It is an ideal reference for investment professionals as well as senior MBA and PhD students. Contents: Introduction: Real Estate Analysis in a Dynamic Risk Environment; The Predictability of Returns on Equity REITs and Their Co-Movement with Other Assets; The Predictability of Real Estate Returns and Market Timing; A Time-Varying Risk Analysis of Equity and Real Estate Markets in the US and Japan; Price Reversal, Transaction Costs, and Arbitrage Profits in Real Estate Securities Market; Bank Risk and Real Estate: An Asset Pricing Perspective; Assessing the OC Santa ClausOCO Approach to Asset Allocation: Implications for Commercial Real Estate Investment; The Time-Variation of Risk for Life Insurance Companies; The Return Distributions of Property Shares in Emerging Markets; Conditional Risk Premiums of Asian Real Estate Stocks; Institutional Factors and Real Estate Returns: A Cross-Country Study. Readership: Financial researchers, real estate investors and investment bankers, as well as senior MBA and PhD students."


Financial Markets and the Real Economy

Financial Markets and the Real Economy

Author: John H. Cochrane

Publisher: Now Publishers Inc

Published: 2005

Total Pages: 117

ISBN-13: 1933019158

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Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.


Complex Systems in Finance and Econometrics

Complex Systems in Finance and Econometrics

Author: Robert A. Meyers

Publisher: Springer Science & Business Media

Published: 2010-11-03

Total Pages: 919

ISBN-13: 1441977007

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Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.


Asset Pricing Theory

Asset Pricing Theory

Author: Costis Skiadas

Publisher: Princeton University Press

Published: 2009-02-09

Total Pages: 363

ISBN-13: 1400830141

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Asset Pricing Theory is an advanced textbook for doctoral students and researchers that offers a modern introduction to the theoretical and methodological foundations of competitive asset pricing. Costis Skiadas develops in depth the fundamentals of arbitrage pricing, mean-variance analysis, equilibrium pricing, and optimal consumption/portfolio choice in discrete settings, but with emphasis on geometric and martingale methods that facilitate an effortless transition to the more advanced continuous-time theory. Among the book's many innovations are its use of recursive utility as the benchmark representation of dynamic preferences, and an associated theory of equilibrium pricing and optimal portfolio choice that goes beyond the existing literature. Asset Pricing Theory is complete with extensive exercises at the end of every chapter and comprehensive mathematical appendixes, making this book a self-contained resource for graduate students and academic researchers, as well as mathematically sophisticated practitioners seeking a deeper understanding of concepts and methods on which practical models are built. Covers in depth the modern theoretical foundations of competitive asset pricing and consumption/portfolio choice Uses recursive utility as the benchmark preference representation in dynamic settings Sets the foundations for advanced modeling using geometric arguments and martingale methodology Features self-contained mathematical appendixes Includes extensive end-of-chapter exercises


Volatility

Volatility

Author: Robert A. Jarrow

Publisher:

Published: 1998

Total Pages: 472

ISBN-13:

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Written by a number of authors, this text is aimed at market practitioners and applies the latest stochastic volatility research findings to the analysis of stock prices. It includes commentary and analysis based on real-life situations.


Portfolio Performance Measurement and Benchmarking, Chapter 12 - Conditional Performance Evaluation

Portfolio Performance Measurement and Benchmarking, Chapter 12 - Conditional Performance Evaluation

Author: Jon A. Christopherson

Publisher: McGraw Hill Professional

Published: 2009-05-15

Total Pages: 14

ISBN-13: 0071733183

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Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.


Machine Learning in Asset Pricing

Machine Learning in Asset Pricing

Author: Stefan Nagel

Publisher: Princeton University Press

Published: 2021-05-11

Total Pages: 156

ISBN-13: 0691218706

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A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. 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. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.


Asset Price Dynamics, Volatility, and Prediction

Asset Price Dynamics, Volatility, and Prediction

Author: Stephen J. Taylor

Publisher: Princeton University Press

Published: 2011-02-11

Total Pages: 544

ISBN-13: 1400839254

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This book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions. Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics, but with less mathematics than in alternative texts. The key topics covered include random walk tests, trading rules, ARCH models, stochastic volatility models, high-frequency datasets, and the information that option prices imply about volatility and distributions. Asset Price Dynamics, Volatility, and Prediction is ideal for students of economics, finance, and mathematics who are studying financial econometrics, and will enable researchers to identify and apply appropriate models and methods. It will likewise be a valuable resource for quantitative analysts, fund managers, risk managers, and investors who seek realistic expectations about future asset prices and the risks to which they are exposed.