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Author: Hesu Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 202
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Book Description
We provide a detailed investigation of interaction effects, calendar and time-of-day effects, and industry-aggregation returns of various cross-sectional biases in the literature using a WLS Fama-Macbeth regression methodology on daily returns in the US equity markets from 1982 to 2011 and on intraday returns from 1993 to 2007. Among our findings regarding return effects are that 1) the reversal-momentum-reversal pattern in the short-, medium-, and long-term is highly variable by month, that 2) the industry momentum effect, as initially reported in Moskowitz and Grinblatt (1999) has largely disappeared according to the given methodology, and that 3) while intraday cross-sectional return variation displays periodicity effects as described by Heston, Korajczyk and Sadka (2010), the return structure varies significantly by time of day, unlike their report. Additionally, we also find that the “linearity” of a stock's past returns, as well as the skewness of the returns, have power in predicting the cross-section of stock returns; the results for skewness provide some empirical support for the results of Barberis and Huang (2008). For the size, value, risk, and turnover factors that we test, returns are generally much stronger in January than in other months, although industry aggregates general show little predictive power (with a few exceptions), echoing the results of Asness, Porter, and Stevens (2000). Finally, we implement a testing scheme that evaluates returns to portfolios that capture some of the pricing biases, taking into account various real-world constraints and trading costs. We find that 1) there are significant risk-adjusted returns to semi-active “structured” portfolios that arbitrage the noted biases (net of trading costs, given the constraints), especially after 2002, but that 2), using a short-scale time frame for calculating IR encourages benchmark hugging and suggests a semi-passive portfolio over active portfolios.
Author: Hesu Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 202
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Book Description
We provide a detailed investigation of interaction effects, calendar and time-of-day effects, and industry-aggregation returns of various cross-sectional biases in the literature using a WLS Fama-Macbeth regression methodology on daily returns in the US equity markets from 1982 to 2011 and on intraday returns from 1993 to 2007. Among our findings regarding return effects are that 1) the reversal-momentum-reversal pattern in the short-, medium-, and long-term is highly variable by month, that 2) the industry momentum effect, as initially reported in Moskowitz and Grinblatt (1999) has largely disappeared according to the given methodology, and that 3) while intraday cross-sectional return variation displays periodicity effects as described by Heston, Korajczyk and Sadka (2010), the return structure varies significantly by time of day, unlike their report. Additionally, we also find that the “linearity” of a stock's past returns, as well as the skewness of the returns, have power in predicting the cross-section of stock returns; the results for skewness provide some empirical support for the results of Barberis and Huang (2008). For the size, value, risk, and turnover factors that we test, returns are generally much stronger in January than in other months, although industry aggregates general show little predictive power (with a few exceptions), echoing the results of Asness, Porter, and Stevens (2000). Finally, we implement a testing scheme that evaluates returns to portfolios that capture some of the pricing biases, taking into account various real-world constraints and trading costs. We find that 1) there are significant risk-adjusted returns to semi-active “structured” portfolios that arbitrage the noted biases (net of trading costs, given the constraints), especially after 2002, but that 2), using a short-scale time frame for calculating IR encourages benchmark hugging and suggests a semi-passive portfolio over active portfolios.
Author: Stijn Claessens
Publisher: World Bank Publications
ISBN:
Category : Rate of return
Languages : en
Pages : 28
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Book Description
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?
Author: Gaston Michel
Publisher: Springer Science & Business Media
ISBN: 3834994960
Category : Business & Economics
Languages : en
Pages : 182
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Book Description
Gaston Michel investigates whether shocks to real estate markets constitute an important source of the risk that is priced in the cross section of equity returns. His results document that real estate risk explains a large part of the cross-sectional variation in equity returns. He shows that an alternative modeI which includes the real estate factor performs as well as or better than the Fama-French model in pricing equity returns.
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: 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.
Author: Stijn Claessens
Publisher:
ISBN:
Category :
Languages : en
Pages : 28
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Book Description
Several factors besides m ...
Author: Kent Daniel
Publisher:
ISBN:
Category : Stocks
Languages : en
Pages : 42
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Book Description
Japanese stock returns are even more closely related to their book-to-market ratios than are their U.S. counterparts, and thus provide a good setting for testing whether the return premia associated with these characteristics arise because the characteristics are proxies for covariance with priced factors. Our tests, which replicate the Daniel and Titman (1997) tests on a Japanese sample, reject the Fama and French (1993) three-factor model but fails to reject the characteristic model.
Author: AICPA
Publisher: John Wiley & Sons
ISBN: 1945498870
Category : Business & Economics
Languages : en
Pages : 800
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Book Description
Updated for new accounting and auditing guidance issued, this valuable tool provides hundreds of high quality disclosure examples from carefully selected U.S. companies of different sizes, across industries such as banking, credit and insurance, communication services, and healthcare from such organizations as Scotts Miracle-Gro, Coca-Cola, Caterpillar, and BB&T. Illustrations of the most important, immediate, and challenging disclosures, such as derivatives and hedging, consolidations, and fair value measurement are provided. Hot topics include statement of cash flows, going concern, and business combinations and intangibles. This edition also provides clear, direct guidance to help you understand and comply with all significant reporting requirements and detailed indexes to help you quickly find exactly what you need.
Author: Jeffrey A. Frankel
Publisher: University of Chicago Press
ISBN: 0226260216
Category : Business & Economics
Languages : en
Pages : 428
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Book Description
This timely volume addresses three important recent trends in the internationalization of United States equity markets: extensive market integration through foreign investment and links among stock prices around the world; increasing securitization as countries such as Japan come to rely more than ever before on markets in equities and bonds at the expense of banks; and the opening of national financial systems of newly industrializing countries to international financial flows and institutions, as governments remove capital controls and other barriers. Eight essays examine such issues as the current extent of international market integration, gains to U.S. investors through international diversification, home-country bias in investing, the role of time and location around the world in stock trading, and the behavior of country funds. Other, long-standing questions about equity markets are also addressed, including market efficiency and the accuracy of models of expected returns, with a particular focus on variances, covariances, and the price of risk according to the Capital Asset Pricing Model.
