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Author: Namtip Lapsomboonkamol
Publisher:
ISBN:
Category : Stocks
Languages : en
Pages : 128
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Book Description
Author: Namtip Lapsomboonkamol
Publisher:
ISBN:
Category : Stocks
Languages : en
Pages : 128
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Book Description
Author: Fangzhou Huang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this thesis, we investigate the relationship between the US stock returns and downside risk in a cross-sectional context. When the classic market model with a moving window approach is adopted, downside risk estimated coefficients exhibit a positive impact on stock returns. However, when two other non-linear time-varying models; the cuiic piecewise polynomial function (CPPF) and the Fourier Flexible Form (FFF) models are adopted, downside risk estimated coefficients show a negative impact on stock returns, Cross-sectinally, the reisk estimated coefficients of the town non-linear models produce a much better fit than the classic market model. The predictive power for future stock returns of downside risk estimated coefficients are found to be weak. Two more risk factors: commodityh market risk and Aruoba-Diebold-Scotti (ADS) business condition index risk (both downside and upside versions thereof), are shown to have a significant effect on stock returns.
Author: Ana Paula Serra
Publisher:
ISBN:
Category :
Languages : en
Pages : 39
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Book Description
This paper looks at the cross-section of stock returns for the particular case of emerging markets. For each of 21 emerging markets I investigate the role of a set of a priori specified factors in the cross-section of returns, and subsequently assess whether the important factors are common. I use new data on emerging markets' individual stocks from the Emerging Markets Data Base. My results indicate that the most important pricing factors are common to the emerging markets in my sample, and that these important factors are similar to those identified for mature markets. Among the top six factors are technical factors and stock price level attributes. The payoffs to these factors are not correlated suggesting that even if investors across markets elect similar factors to price assets, those factors' risk premia are local.
Author: Stijn Claessens
Publisher: World Bank Publications
ISBN:
Category : Rate of return
Languages : en
Pages : 28
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Author: George N. Leledakis
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This study is an investigation into the cross-sectional determinants of stock returns in a small market - the Athens Stock Exchange - where the Fama and French portfolio grouping procedure that is normally used to counter the error in variables problem in estimating beta is problematic due to the small number of stocks. A maximum likelihood technique is applied, similar to that developed by Litzenberger and Ramaswamy (Journal of Financial Economics, 7, 163-95, 1979), which is arguably a better procedure than the portfolio grouping method even for investigating large (developed) markets. A further empirical problem that was addressed was the possibility that the results were being driven by the 'January effect'. The findings for the Athens market suggest that there is only one substantive variable in explaining the cross-sectional variation of market and that is market equity ME (which captures a size effect).
Author: Michael J. Brennan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We analyze the relation between equity returns, risk, and a rich set of security characteristics that includes institutional ownership, Samp;P 500 index membership, analyst following, and dispersion in analyst forecasts, in addition to previously examined variables such as the book-to-market ratio, firm size, the bid-ask spread, and lagged returns. Our primary objective is to determine whether these characteristics have marginal explanatory power relative to the Connor and Korajczyk (1988) risk factors. We also compare the different approaches that have been used to test asset pricing models against specific alternatives. We find that inferences are extremely sensitive to the sorting criteria used for portfolio formation, so that results based on regressions using portfolio returns should be interpreted with caution. Fama-MacBeth type regressions for individual securities suggest some new findings: risk-adjusted stock returns show a puzzling negative (and strongly significant) relation to the bid-ask spread, a negative relation with both size and share turnover, and a positive relation with both Samp;P 500 membership and analyst following. However, previously noted book-to-market and size effects are eliminated once account is taken of the above characteristics.
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: George Leledakis
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Chi-Hsiou Daniel Hung
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
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Book Description
In this paper we evaluate the intertemporal pricing performance of stock return determinants over the periods surrounding, and outside of, financial crises. The analysis focuses on the variables of size, book-to-market ratio, momentum, liquidity, and higher-order systematic co-moments. The evidence reveals that over non-crisis periods the market beta plays an important role in determining the cross-section of stock returns. Size, value, momentum, and liquidity also exhibit associations with the cross-section of stock returns. However, over crisis periods most of the variables we examined lose their explanatory power, suggesting that their usefulness is limited for investment purposes when financial markets experience crises. There is some evidence of coskewness pricing surrounding market crashes. Practitioners may consider coskewness over crisis periods.
Author: Robert A. Haugen
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Evidence is presented that the determinants of the cross-section of expected stock returns are stable in their identity and influence from period to period and from country to country. The determinants are related to risk, liquidity, price-level, growth potential, and stock price history. Out-of-sample predictions of expected return, using trailing moving average values for the payoffs to these firm characteristics, are strongly and consistently accurate. Moreover, the stocks with higher expected and realized return rates of return are generally and unambiguously of lower risk than stocks with lower returns. Given the nature of the tests, it is highly unlikely that these results may be attributed to bias or data snooping. Consequently, the results seem to reveal a major failure in the Efficient Markets Hypothesis.
