Variables that Explain Stock Returns PDF Download
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Author: Clifford Scott Asness
Publisher:
ISBN:
Category : Investment analysis
Languages : en
Pages : 330
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Book Description
Author: Clifford Scott Asness
Publisher:
ISBN:
Category : Investment analysis
Languages : en
Pages : 330
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Book Description
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.
Author: Kenneth L. Fisher
Publisher: McGraw Hill Professional
ISBN: 0071596305
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
Target the Super Stocks that deliver huge returns One of the most successful investing books ever published, Super Stocks showed investors how to use innovative techniques and fundamental analysis for valuing stocks and predicting future profit margins. You'll gain valuable insight into Fisher's original thinkin for valuing stocks and predicting future profit margins. A pioneer in the use of the Price Sales Ratio-a powerful analytical tool-Fisher regales readers with instructive tales of the businesses he invested in and profited from. Super Stocks gives a historical perspective on how Fisher successfully researched companies and stocks—who he saw and what he asked—to get a better read on profitable returns. “As rich in investment war stories as it is in knowledge.”-The Motley Fool
Author: Kevin A. McCarthy
Publisher:
ISBN:
Category : Rate of return
Languages : en
Pages : 72
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Book Description
Author: Linda Ginzel
Publisher: Agate Publishing
ISBN: 1572848456
Category : Business & Economics
Languages : en
Pages : 154
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Book Description
Choosing Leadership is a new take on executive development that gives everyone the tools to develop their leadership skills. In this workbook, Dr. Linda Ginzel, a clinical professor at the University of Chicago’s Booth School of Business and a social psychologist, debunks common myths about leaders and encourages you to follow a personalized path to decide when to manage and when to lead. Thoughtful exercises and activities help you mine your own experiences, learn to recognize behavior patterns, and make better choices so that you can create better futures. You’ll learn how to: Define leadership for yourself and move beyond stereotypes Distinguish between leadership and management and when to use each skill Recognize the gist of a situation and effectively communicate it with others Learn from the experience of others as well as your own Identify your “default settings” and become your own coach And much more Dr. Linda Ginzel is a clinical professor of managerial psychology at the University of Chicago’s Booth School of Business and the founder of its customized executive education program. For three decades, she has developed and taught MBA and executive education courses in negotiation, leadership capital, managerial psychology, and more. She has also taught MBA and PhD students at Northwestern and Stanford, as well as designed customized educational programs for a number of Fortune 500 companies. Ginzel has received numerous teaching awards for excellence in MBA education, as well as the President’s Service Award for her work with the nonprofit Kids In Danger. She lives in Chicago with her family.
Author: Archana Raghu
Publisher:
ISBN:
Category : Finance
Languages : en
Pages : 0
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Book Description
For a company to become prosperous it must invest wisely such that it provides consistent greater returns over time. The stock investment returns prediction has been one of the major challenges in finance. Often the losses in stock investment that the companies face are due to bad decisions made in stock investments. Many investment decisions stemmed from a lack of proper understanding of the relationship between various variables that are necessary for predicting future stock returns. To make better decisions in stock investment, previous researchers have carried out extensive studies to model the stock market. Previous researchers conducted theoretical and empirical studies, and have used various data science techniques for analysis to understand the effect of variables. However, these research studies did not account for data cleaning and pre-processing procedures that lead to biased results. The major contribution of this study is to fill the gap that remains in understanding relationships between the various variables and to identify the most influential variables that best predict stock returns. The findings from this research will assist financial interpreters, individual investors, and academicians in making better decisions in investments and understanding stock market. This study examines the Stock-Investment Pro dataset from the year 2005-2011 and employs a factor analysis approach and grouped 45 variables into 13 factors. Further, a logistic regression model of 13 independent variables revealed EPS Estimation Revisions Up and Institutional Ownership as the most significant variables to predict stock returns.
Author: Mathias Külpmann
Publisher: Springer Science & Business Media
ISBN: 3540247653
Category : Business & Economics
Languages : en
Pages : 233
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Book Description
Mathias Külpmann presents a framework to evaluate whether the stock market is in line with underlying fundamentals. The new and revised edition offers an up to date introduction to the controversy between rational asset pricing and behavioural finance. Empirical evidence of stock market overreaction are investigated within the paradigms of rational asset pricing and behavioural finance. Although this monograph will not promise the reader to become a millionaire, it offers a road to obtain a deeper understanding of the forces which drive stock returns. It should be of interest to anyone interested in what drives performance in the stock market.
Author: Turan G. Bali
Publisher: John Wiley & Sons
ISBN: 1118589661
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: Stijn Claessens
Publisher: World Bank Publications
ISBN:
Category : Rate of return
Languages : en
Pages : 28
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Book Description
Author: Wayne E. Ferson
Publisher:
ISBN:
Category : Capital assets pricing model
Languages : en
Pages : 45
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Book Description
Previous studies have identified predetermined variables that have some power to explain the time series of stock and bond returns. This paper shows that loadings on the same variables also provide significant cross-sectional explanatory power for stock portfolio returns. These loadings are important, over and the above the variables advocated by Fama and French (1993) in their three factor model, ' and also the four factors of Elton, Gruber and Blake (1995). The explanatory power of the loadings on lagged variables is robust to various portfolio grouping procedures and other considerations. The lagged variables reveal information about the cross-section of expected returns that is not captured by popular asset pricing factors. These results carry implications for risk analysis, performance measurement, cost-of-capital calculations and other applications
