Empirical Asset Pricing

Empirical Asset Pricing PDF Author: Turan G. Bali
Publisher: John Wiley & Sons
ISBN: 1118589475
Category : Business & Economics
Languages : en
Pages : 512

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Book Description
“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.

Empirical Asset Pricing

Empirical Asset Pricing PDF Author: Turan G. Bali
Publisher: John Wiley & Sons
ISBN: 1118589475
Category : Business & Economics
Languages : en
Pages : 512

Get Book Here

Book Description
“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.

Quantitative Investing for the Global Markets

Quantitative Investing for the Global Markets PDF Author: Peter Carman
Publisher: Routledge
ISBN: 9781884964718
Category : Business & Economics
Languages : en
Pages : 386

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Book Description
First Published in 1997. Routledge is an imprint of Taylor & Francis, an informa company.

Stock Returns and the Weather

Stock Returns and the Weather PDF Author: Ivano Flueckiger
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Research has shown that investors are subject to behavioural biases such as loss aversion or mood-based decision making. A proxy for mood that has been shown to have a significant effect on stock returns is sunshine at an exchange's location. This thesis examines the relation between cross-sectional stock returns and the weather at Wall Street and at each traded company's headquarter. I use portfolio sorts and regression techniques on a comprehensive sample of the US stock market between 1980 and 2017 and on headquarter data between 2007 and 2017. I show that there is a relation between stock returns and the weather both at Wall Street and at headquarter. While the relation is statistically significant, economic impact is limited. Nevertheless, I provide further evidence that financial markets are not entirely rational and I show that modern asset pricing models should incorporate behavioural factors in addition to measures of systematic and idiosyncratic risk.

Machine Learning for Asset Management

Machine Learning for Asset Management PDF Author: Emmanuel Jurczenko
Publisher: John Wiley & Sons
ISBN: 1786305445
Category : Business & Economics
Languages : en
Pages : 460

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Book Description
This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

A Cross-sectional Analysis of Stock Returns

A Cross-sectional Analysis of Stock Returns PDF Author: Michael Hasler
Publisher:
ISBN:
Category :
Languages : en
Pages : 206

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Book Description


The Cross-section of Stock Returns

The Cross-section of Stock Returns PDF Author: Stijn Claessens
Publisher: World Bank Publications
ISBN:
Category : Rate of return
Languages : en
Pages : 28

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Book Description


Essays on the Analysis of Cross-sectional Stock Returns

Essays on the Analysis of Cross-sectional Stock Returns PDF Author: 林琦
Publisher:
ISBN:
Category : Investment analysis
Languages : en
Pages : 158

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Book Description


A Cross Sectional Analysis of the Excess Comovement of Stock Returns

A Cross Sectional Analysis of the Excess Comovement of Stock Returns PDF Author: Robin Marc Greenwood
Publisher:
ISBN:
Category :
Languages : en
Pages : 46

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Book Description
In the presence of limits to arbitrage, cross-sectional variation in periodic investor demand should be related to the degree of comovement of returns. I exploit the unusual weighting system of the Nikkei 225 index in Japan to identify cross-sectional variation in periodic demand for index stocks. Relative to their weights in a value weighted index, some stocks in the Nikkei are overweighted by a factor of ten or more. Using overweighting as an instrument for the proportionality between demand shocks for index stocks, I find a strong positive relation between overweighting and the comovement of a stock with other stocks in the index, and a negative relationship between index overweighting and comovement with stocks outside of the index. Put simply, overweighted stocks have high betas. The results suggest that excess comovement of stock returns is a consequence of an institutionalized commonality in trading behavior, rather than inefficiencies related to the speed at which index stocks incorporate economy-wide information.

Cross-Sectional Analysis of Swedish Stock Returns with Time-Varying Beta

Cross-Sectional Analysis of Swedish Stock Returns with Time-Varying Beta PDF Author: Hossein Asgharian
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
This paper analyses the ability of beta and other factors, like firm size and book-to-market, to explain cross-sectional variation in average stock returns on the Swedish stock market for the period 1980-1997. We use a bivariate GARCH(1,1) process to estimate time-varying betas for asset returns. The estimated variances of these betas, derived from a Taylor series approximation, are used for correcting errors in variables problem. Our model accounts for problems such as cross-sectional and intertemporal heteroscedasticity. An Extreme Bounds Analysis is utilized for testing the sensitivity of the estimated coefficients to changes in the set of included explanatory variables. Since the tests are carried out on realized returns, which presumably are quite noisy approximations of expected returns; we also analyze if the variables play different roles depending on if it is a Bull or Bear market. Our results show that the coefficient for beta is never significantly different from zero, while variables book to market, size and leverage have significant coefficients. Different sensitivity analyses suggest that the results, to some extent, may be due to cross-correlations between the variables, the characteristics of the extreme periods included in the sample, the average sign of the excess market return during the sample period, and the choice of the estimation and test methods. The findings also show that the estimated conditional beta is a more accurate measure of the true market beta than the beta estimated by OLS.

The Cross Section of Common Stock Returns

The Cross Section of Common Stock Returns PDF Author: Donald B. Keim
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
A growing number of empirical studies suggest that betas of common stocks do not adequately explain cross-sectional differences in stock returns. Instead, a number of other variables (e.g., size, ratio of book to market, earnings/price) that have no basis in extant theoretical models seem to have significantly predictive ability. Some interpret the findings as evidence of market efficiency. Others argue that the Capital Asset Pricing Model is an incomplete description of equilibrium price formation and these variables are proxies for additional risk factors. In this paper we review the evidence on the cross-sectional behavior of common stock returns on the U.S. and other equity markets around the world. We also report some new evidence on these cross-sectional relations using data from both U.S. and international stock markets. We find, among other results, that although the return premia associated with these ad hoc variables are significant in most international stock markets, the premia are uncorrelated across markets. The accumulating evidence prompts the following question: If these return premia occur primarily in January and are uncorrelated across major international equity markets, is it reasonable to characterize them as compensation for risk?