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Parallels between the Cross-Sectional Predictability of Stock and Country Returns

Parallels between the Cross-Sectional Predictability of Stock and Country Returns PDF Author: Clifford S. Asness
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Book-to-market ratio (BE/ME), market equity (ME), and one- year past return (momentum) (MOM) help explain the cross- section of expected individual stock returns within the U.S. and within other countries. Examining equity markets as a whole, in contrast to individual stocks, we uncover strong parallels between the explanatory power of these variables for individual stocks and for countries. First, country versions of BE/ME, ME, and MOM help explain the cross-section of expected country returns. Second, the January seasonal in ME's explanatory power for stocks also appears for countries. Third, portfolios formed by sorting stocks and countries on these variables produce similar patterns in profitability before and after the portfolio formation date.

Parallels between the Cross-Sectional Predictability of Stock and Country Returns

Parallels between the Cross-Sectional Predictability of Stock and Country Returns PDF Author: Clifford S. Asness
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Book-to-market ratio (BE/ME), market equity (ME), and one- year past return (momentum) (MOM) help explain the cross- section of expected individual stock returns within the U.S. and within other countries. Examining equity markets as a whole, in contrast to individual stocks, we uncover strong parallels between the explanatory power of these variables for individual stocks and for countries. First, country versions of BE/ME, ME, and MOM help explain the cross-section of expected country returns. Second, the January seasonal in ME's explanatory power for stocks also appears for countries. Third, portfolios formed by sorting stocks and countries on these variables produce similar patterns in profitability before and after the portfolio formation date.

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

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.

Essays on the cross-sectional predictability of stock returns

Essays on the cross-sectional predictability of stock returns PDF Author: Mihai B. Ion
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


Cross-sectional Predictability of Stock Returns

Cross-sectional Predictability of Stock Returns PDF Author: Mensah Lord
Publisher:
ISBN: 9789089940445
Category :
Languages : en
Pages : 163

Book Description


Empirical Asset Pricing

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

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.

The Predictability of Stock Returns

The Predictability of Stock Returns PDF Author: Zsuzsanna Fluck
Publisher:
ISBN:
Category : Stocks
Languages : en
Pages : 31

Book Description


The Predictability of Stock Returns

The Predictability of Stock Returns PDF Author: Zsuzsanna Fluck
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
This paper investigates whether predictable patterns that previous empirical work in finance have isolated appear to be persistent and exploitable by portfolio managers. On a sample that is free from survivorship bias we construct a test wherein we simulate the purchases and sales an investor would undertake to exploit the predictable patterns, charging the appropriate transaction costs for buying and selling and using only publicly available information at the time of decisionmaking. We restrict investment to large companies only to assure that the full cost of transactions is properly accounted for. We confirmed on our sample that contrarian strategies yield sizable excess returns after adjusting for risk, as measured by beta. Using analysts' estimates of long term growth we construct a test of the Lakonishok, Shleifer and Vishny (1994) hypothesis. We reach the conclusion that, contrary to Lakonishok et al. (1994), the superior performance of contrarian strategies can not be explained by the superior performance of stocks with low estimated growth rates.

Predictability of Cross-sectional Expected Stock Returns

Predictability of Cross-sectional Expected Stock Returns PDF Author: Yew Mun Yip
Publisher:
ISBN:
Category : Investment analysis
Languages : en
Pages : 526

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

Book Description


Neoclassical Finance

Neoclassical Finance PDF Author: Stephen A. Ross
Publisher: Princeton University Press
ISBN: 1400830206
Category : Business & Economics
Languages : en
Pages : 120

Book Description
Neoclassical Finance provides a concise and powerful account of the underlying principles of modern finance, drawing on a generation of theoretical and empirical advances in the field. Stephen Ross developed the no arbitrage principle, tying asset pricing to the simple proposition that there are no free lunches in financial markets, and jointly with John Cox he developed the related concept of risk-neutral pricing. In this book Ross makes a strong case that these concepts are the fundamental pillars of modern finance and, in particular, of market efficiency. In an efficient market prices reflect the information possessed by the market and, as a consequence, trading schemes using commonly available information to beat the market are doomed to fail. By stark contrast, the currently popular stance offered by behavioral finance, fueled by a number of apparent anomalies in the financial markets, regards market prices as subject to the psychological whims of investors. But without any appeal to psychology, Ross shows that neoclassical theory provides a simple and rich explanation that resolves many of the anomalies on which behavioral finance has been fixated. Based on the inaugural Princeton Lectures in Finance, sponsored by the Bendheim Center for Finance of Princeton University, this elegant book represents a major contribution to the ongoing debate on market efficiency, and serves as a useful primer on the fundamentals of finance for both scholars and practitioners.