Cross Sectional Methods For Empirical Asset Pricing
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Empirical Asset Pricing
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Author : Turan G. Bali
language : en
Publisher: John Wiley & Sons
Release Date : 2016-02-26
Empirical Asset Pricing written by Turan G. Bali and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-26 with Business & Economics categories.
“Bali, Engle, and Murray have produced a highly accessible introduction to the techniques and evidence of modern empirical asset pricing. This book should be read and absorbed by every serious student of the field, academic and professional.” Eugene Fama, Robert R. McCormick Distinguished Service Professor of Finance, University of Chicago and 2013 Nobel Laureate in Economic Sciences “The empirical analysis of the cross-section of stock returns is a monumental achievement of half a century of finance research. Both the established facts and the methods used to discover them have subtle complexities that can mislead casual observers and novice researchers. Bali, Engle, and Murray’s clear and careful guide to these issues provides a firm foundation for future discoveries.” John Campbell, Morton L. and Carole S. Olshan Professor of Economics, Harvard University “Bali, Engle, and Murray provide clear and accessible descriptions of many of the most important empirical techniques and results in asset pricing.” Kenneth R. French, Roth Family Distinguished Professor of Finance, Tuck School of Business, Dartmouth College “This exciting new book presents a thorough review of what we know about the cross-section of stock returns. Given its comprehensive nature, systematic approach, and easy-to-understand language, the book is a valuable resource for any introductory PhD class in empirical asset pricing.” Lubos Pastor, Charles P. McQuaid Professor of Finance, University of Chicago Empirical Asset Pricing: The Cross Section of Stock Returns is a comprehensive overview of the most important findings of empirical asset pricing research. The book begins with thorough expositions of the most prevalent econometric techniques with in-depth discussions of the implementation and interpretation of results illustrated through detailed examples. The second half of the book applies these techniques to demonstrate the most salient patterns observed in stock returns. The phenomena documented form the basis for a range of investment strategies as well as the foundations of contemporary empirical asset pricing research. Empirical Asset Pricing: The Cross Section of Stock Returns also includes: Discussions on the driving forces behind the patterns observed in the stock market An extensive set of results that serve as a reference for practitioners and academics alike Numerous references to both contemporary and foundational research articles Empirical Asset Pricing: The Cross Section of Stock Returns is an ideal textbook for graduate-level courses in asset pricing and portfolio management. The book is also an indispensable reference for researchers and practitioners in finance and economics. Turan G. Bali, PhD, is the Robert Parker Chair Professor of Finance in the McDonough School of Business at Georgetown University. The recipient of the 2014 Jack Treynor prize, he is the coauthor of Mathematical Methods for Finance: Tools for Asset and Risk Management, also published by Wiley. Robert F. Engle, PhD, is the Michael Armellino Professor of Finance in the Stern School of Business at New York University. He is the 2003 Nobel Laureate in Economic Sciences, Director of the New York University Stern Volatility Institute, and co-founding President of the Society for Financial Econometrics. Scott Murray, PhD, is an Assistant Professor in the Department of Finance in the J. Mack Robinson College of Business at Georgia State University. He is the recipient of the 2014 Jack Treynor prize.
Cross Sectional Methods For Empirical Asset Pricing
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Author : Valentina Raponi
language : en
Publisher:
Release Date : 2019
Cross Sectional Methods For Empirical Asset Pricing written by Valentina Raponi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Empirical Asset Pricing
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Author : Wayne Ferson
language : en
Publisher: MIT Press
Release Date : 2019-03-26
Empirical Asset Pricing written by Wayne Ferson and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-26 with Business & Economics categories.
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.
Two Essays In Empirical Asset Pricing
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Author : Flavio Nardi
language : en
Publisher:
Release Date : 2017
Two Essays In Empirical Asset Pricing written by Flavio Nardi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
This thesis includes two research papers in the area of empirical asset pricing. In the first research paper titled "Option implied moments and risk aversion", under reasonable assumptions, I provide empirical evidence that index options implied higher moments can predict the index returns and Sharpe ratio. Specifically, I present a method to recover option implied subjective moments of the S &P500 index under the assumption of no arbitrage and logarithmic utility. This result adds further evidence to the extensive finance literature that claims that market returns are predictable. In the second research paper titled "Expected returns: systematic risk or firm characteristics" I provide empirical evidence that expected returns can be viewed as determined by the exposure of firm returns to systematic factors that are based on firm characteristics, and not directly to the cross--sectional differences in the firm characteristics. This result addresses an ongoing debate within the empirical asset pricing literature as to whether the cross--section of expected returns is "explained" by the loadings to systematic factors or by differences in firm characteristics. The evidence I provide supports the loading to systematic factors story, consistent with the consumption asset pricing model.
Empirical Asset Pricing With Many Assets And Short Time Series
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Author : Rasmus Lönn
language : en
Publisher:
Release Date : 2018
Empirical Asset Pricing With Many Assets And Short Time Series written by Rasmus Lönn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
We construct tracking portfolios consisting of a large number of assets for macroeconomic factors using the L_2-boosting algorithm. We use these tracking portfolios as instruments to estimate factor risk prices. The same learning algorithm also provides the weights of a mean-variance efficient portfolio. With this additional input we compute the Hansen-Jagannathan distance to compare how alternative models fit the cross-section. We apply the method to 900 portfolio return series in the Kenneth French data library. While macro factors fail to explain most cross-sectional variation, we find that both consumption and inflation risk are priced.
Machine Learning In Asset Pricing
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Author : Stefan Nagel
language : en
Publisher: Princeton University Press
Release Date : 2021-05-11
Machine Learning In Asset Pricing written by Stefan Nagel and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-11 with Business & Economics categories.
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.
Empirical Asset Pricing Models
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Author : Jau-Lian Jeng
language : en
Publisher: Springer
Release Date : 2018-03-19
Empirical Asset Pricing Models written by Jau-Lian Jeng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Business & Economics categories.
This book analyzes the verification of empirical asset pricing models when returns of securities are projected onto a set of presumed (or observed) factors. Particular emphasis is placed on the verification of essential factors and features for asset returns through model search approaches, in which non-diversifiability and statistical inferences are considered. The discussion reemphasizes the necessity of maintaining a dichotomy between the nondiversifiable pricing kernels and the individual components of stock returns when empirical asset pricing models are of interest. In particular, the model search approach (with this dichotomy emphasized) for empirical model selection of asset pricing is applied to discover the pricing kernels of asset returns.
Empirical Cross Sectional Asset Pricing
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Author : Stefan Nagel
language : en
Publisher:
Release Date : 2012
Empirical Cross Sectional Asset Pricing written by Stefan Nagel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Assets (Accounting) categories.
I review recent research efforts in the area of empirical cross-sectional asset pricing. I start by summarizing the evidence on cross-sectional return predictability and the failure of standard (consumption) CAPM models and their conditional versions to explain these predictability patterns. One response in part of the recent literature is to focus on ad-hoc factor models, which summarize the cross-section of expected returns in parsimonious form, or on production-based approaches, which suggest links between firm characteristics and expected returns. Without imposing restrictions on investor preferences and beliefs, neither one of these two approaches can answer the question why investors price assets the way they do. Within the rational expectations paradigm, recent research that imposes such restrictions has focused on the ICAPM, long-run risks models, as well as frictions and liquidity risk. Approaches based on investor sentiment have focused on the development of empirical proxies for sentiment and for the limits to arbitrage that allow sentiment to affect prices. Empirical work that considers learning and adaptation of investors has worked with out-of-sample tests of cross-sectional predictability.
Two Essays On Empirical Asset Pricing
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Author : Jie Zhang
language : en
Publisher:
Release Date : 2006
Two Essays On Empirical Asset Pricing written by Jie Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Arbitrage categories.
Essays On Empirical Asset Pricing Using Bayesian Methods
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Author : Alexandre Rubesam
language : en
Publisher:
Release Date : 2009
Essays On Empirical Asset Pricing Using Bayesian Methods written by Alexandre Rubesam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.