Using Stocks or Portfolios in Tests of Factor Models PDF Download

Author: Andrew Ang
Publisher:
ISBN:
Category :
Languages : en
Pages : 65

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Book Description
We examine the efficiency of using individual stocks or portfolios as base assets to test asset pricing models using cross-sectional data. The literature has argued that creating portfolios reduces idiosyncratic volatility and allows more precise estimates of factor loadings, and consequently risk premia. We show analytically and empirically that smaller standard errors of portfolio beta estimates do not lead to smaller standard errors of cross-sectional coefficient estimates. Factor risk premia standard errors are determined by the cross-sectional distributions of factor loadings and residual risk. Portfolios destroy information by shrinking the dispersion of betas, leading to larger standard errors.

Author: Soosung Hwang
Publisher:
ISBN:
Category :
Languages : en
Pages : 41

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Book Description
We propose the average F statistic for testing linear asset pricing models. The average pricing error, captured in the the statistic, is of more interest than the ex post maximum pricing error of the multivariate F statistic that is associated with extreme long and short positions and excessively sensitive to small perturbations in the estimates of asset means and covariances. The average F test can be applied to thousands of individual stocks and thus is free from the information loss or the data snooping biases from grouping. This test is robust to ellipticity, and more importantly, our simulation and bootstrapping results show that the power of average F test continues to increase as the number of stocks increases. Empirical tests using individual stocks from 1967 to 2006 demonstrate that the popular four factor model (i.e. Fama-French three factors and momentum) is rejected two sub-periods from from 1967 to 1971 and from 1982 to 1986.

Author: Bhavna Bahl
Publisher:
ISBN:
Category :
Languages : en
Pages : 35

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Book Description
I empirically study the Fama and French three-factor model of stock returns along with its variants, including the one-factor Capital Asset Pricing Model for 79 stocks listed on the BSE-100 stock market index for India. These sample stocks are split into six portfolios sorted on size and book-to-market equity ratio. The factor portfolios that explain the returns are the market factor, size factor (SMB) and value factor (HML). I find strong evidence for the market factor in all the portfolios, it being regarded with having highest explanatory power. The SMB and HML factors can not be clearly ranked in this regard. On the basis of the adjusted R², I confirm that the three-factor model captures better the common variation in the stock returns than the CAPM, the average adjusted R² being 87% for the former model and 76% for the latter model. I further carry out a joint test on the constant term in the portfolio regressions using the GRS test statistic, checking for any abnormal returns that are not captured by the factor portfolios. Using this statistic, I again find that the three-factor model of Fama and French fairs better in explaining the cross-section of returns in the portfolios than its variants and the CAPM. I have also checked for any seasonal effects that could be present in the sample and have found none.

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.

Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95

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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Author:
Publisher:
ISBN:
Category : Capital assets pricing model
Languages : en
Pages : 44

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Book Description

Author: Francois-Serge Lhabitant
Publisher: Elsevier
ISBN: 0081017863
Category : Mathematics
Languages : en
Pages : 276

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Book Description
Portfolio Diversification provides an update on the practice of combining several risky investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book, readers will find a comprehensive introduction and analysis of various dimensions of portfolio diversification (assets, maturities, industries, countries, etc.), along with time diversification strategies (long term vs. short term diversification) and diversification using other risk measures than variance. Several tools to quantify and implement optimal diversification are discussed and illustrated. Focuses on portfolio diversification across all its dimensions Includes recent empirical material that was created and developed specifically for this book Provides several tools to quantify and implement optimal diversification

Author: Andrew Ang
Publisher: Oxford University Press, USA
ISBN: 0199959323
Category : Business & Economics
Languages : en
Pages : 717

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Book Description
Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In this book, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent.

Author: Wesley R. Gray
Publisher: John Wiley & Sons
ISBN: 111907150X
Category : Business & Economics
Languages : en
Pages : 230

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Book Description
DIY Financial Advisor: A Simple Solution to Build and Protect Your Wealth DIY Financial Advisor is a synopsis of our research findings developed while serving as a consultant and asset manager for family offices. By way of background, a family office is a company, or group of people, who manage the wealth a family has gained over generations. The term 'family office' has an element of cachet, and even mystique, because it is usually associated with the mega-wealthy. However, practically speaking, virtually any family that manages its investments—independent of the size of the investment pool—could be considered a family office. The difference is mainly semantic. DIY Financial Advisor outlines a step-by-step process through which investors can take control of their hard-earned wealth and manage their own family office. Our research indicates that what matters in investing are minimizing psychology traps and managing fees and taxes. These simple concepts apply to all families, not just the ultra-wealthy. But can—or should—we be managing our own wealth? Our natural inclination is to succumb to the challenge of portfolio management and let an 'expert' deal with the problem. For a variety of reasons we discuss in this book, we should resist the gut reaction to hire experts. We suggest that investors maintain direct control, or at least a thorough understanding, of how their hard-earned wealth is managed. Our book is meant to be an educational journey that slowly builds confidence in one's own ability to manage a portfolio. We end our book with a potential solution that could be applicable to a wide-variety of investors, from the ultra-high net worth to middle class individuals, all of whom are focused on similar goals of preserving and growing their capital over time. DIY Financial Advisor is a unique resource. This book is the only comprehensive guide to implementing simple quantitative models that can beat the experts. And it comes at the perfect time, as the investment industry is undergoing a significant shift due in part to the use of automated investment strategies that do not require a financial advisor's involvement. DIY Financial Advisor is an essential text that guides you in making your money work for you—not for someone else!

Author: Bruce I. Jacobs
Publisher: McGraw Hill Professional
ISBN: 9780071371339
Category : Business & Economics
Languages : en
Pages : 428

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Book Description
Two pioneers and innovators in the money management field present their choice of groundbreaking, peer-reviewed articles on subjects including portfolio engineering and long-short investment strategy. More than just a collection of classic review pieces, however, Equity Management provides new material to introduce, interpret, and integrate the pieces, with an introduction that provides an authoritative overview of the chapters. Important and innovative, it is destined to become the "Graham and Dodd" of quantitative equity investing. About the Authors: Bruce I. Jacobs and Kenneth N. Levy are Principals of Jacobs Levy Equity Management. Based in Florham Park, New Jersey, Jacobs Levy Equity Management is widely recognized as a leading provider of quantitative equity strategies for institutional clients. Jacobs Levy currently manages over $15 billion in various strategies for a prestigious global roster of 50 corporate pension plans, public retirement systems, multi-employer funds, endowments, and foundations, including over 25 of Pensions & Investments' "Top 200 Pension Funds/Sponsors." Bruce I. Jacobs holds a PhD in finance from the Wharton School of the University of Pennsylvania. He is the author of Capital Ideas and Market Realities: Option Replication, Investor Behavior, and Stock Market Crashes and co-editor, with Ken Levy, of Market Neutral Strategies. He serves on the advisory board of the Journal of Portfolio Management. Kenneth N. Levy holds an MBA and an MA in applied economics from the Wharton School of the University of Pennsylvania. He is co-editor, with Bruce Jacobs, of Market Neutral Strategies. A Chartered Financial Analyst, he has served on the CFA Institute's candidate curriculum committee and on the advisory board of POSIT.