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Author: Tolga Cenesizoglu Publisher: ISBN: Category : Languages : en Pages : 58
Book Description
This paper demonstrates that a conditional version of the Capital Asset Pricing Model (CAPM) explains the cross section of expected returns, just as well as the three factor model of Fama and French. This is achieved by measuring beta (systematic risk) with short-, medium- and long-run components. The short-run component of beta is computed from daily returns over the prior year, while the medium-run beta component is from daily returns over the prior 5 years, and the long-run component from monthly returns over the prior 10 years.
Author: Tolga Cenesizoglu Publisher: ISBN: Category : Languages : en Pages : 58
Book Description
This paper demonstrates that a conditional version of the Capital Asset Pricing Model (CAPM) explains the cross section of expected returns, just as well as the three factor model of Fama and French. This is achieved by measuring beta (systematic risk) with short-, medium- and long-run components. The short-run component of beta is computed from daily returns over the prior year, while the medium-run beta component is from daily returns over the prior 5 years, and the long-run component from monthly returns over the prior 10 years.
Author: Devraj Basu Publisher: ISBN: Category : Languages : en Pages : 30
Book Description
The failure of the static-beta CAPM to explain the cross-section of returns on portfolios sorted on firm size, book-to-market ratio, momentum, and even portfolios sorted on past CAPM betas, is well documented. In this paper we show that the model's performance dramatically improves when portfolio betas are allowed to be time-varying functions of (lagged) business cycle variables. We use an approach based on Hansen and Richard (1987) to construct a candidate stochastic discount factor (SDF), using the excess return on the market portfolio as the single factor, scaled by a time-varying coeplusmn;cient. The result is a model in which the conditional factor risk premium is a non-linear function of the business cycle variables. We assess the performance of our model by computing the R2 of the cross-sectional regression of realized on model-implied expected returns, as for example in Jagannathan and Wang (1996). While this is not a formal test of the model's ability to price the assets correctly, it does provide an informative summary statistic that allows us to compare the performance of our scaled model with that of the static version, and also to compare our findings to those of other similar studies.In the post-1980 period, where the static CAPM is known to perform particularly poorly, our scaled model explains around 60% of the cross-sectional variation in returns on beta and book-to-market portfolios, and 87% for momentum portfolios. Moreover, the model captures 70% of the value premium (the return spread between the highest and lowest book-to-market decile portfolios), and 75% of the momentum premium (the spread between the past 'winner' and 'loser' portfolios). Our results thus confirm the crucial importance of time-varying risk premiums in explaining the cross-section of average returns on these sets of portfolios. Moreover, the conditional market risk premium and hence also the betas implied by our model exhibits considerable non-linearity in the business cycle instruments.
Author: Jeong-Ryeol Kim Publisher: ISBN: Category : Languages : en Pages : 45
Book Description
The capital-asset-pricing model (CAPM) is one of the most popular methods ofDas Capital-Asset-Pricing-Modell (CAPM) ist einer der populärsten empirischen.
Author: Zhenyu Wang Publisher: ISBN: Category : Languages : en Pages :
Book Description
Most empirical studies of the static CAPM assume that betas remain constant over time and that the return on the value-weighted portfolio of all stocks is a proxy for the return on aggregate wealth. The general consensus is that the static CAPM is unable to explain satisfactorily the cross-section of average returns on stocks. We assume that the CAPM holds in a conditional sense, i.e., betas and the market risk premium vary over time. We include the return on human capital when measuring the return on aggregate wealth. Our specification performs well in explaining the cross-section of average returns.
Author: Wayne Ferson Publisher: MIT Press ISBN: 0262039370 Category : Business & Economics Languages : en Pages : 497
Book Description
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author: Halbert White Publisher: Oxford University Press, USA ISBN: 9780198296836 Category : Business & Economics Languages : en Pages : 512
Book Description
A collection of essays in honour of Clive Granger. The chapters are by some of the world's leading econometricians, all of whom have collaborated with and/or studied with both) Clive Granger. Central themes of Granger's work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.
Author: Yexiao Xu Publisher: ISBN: Category : Languages : en Pages : 59
Book Description
In this paper we show that the failure of the CAPM beta to predict individual stocks' expected returns documented by Fama and French (1992) is largely driven by a small group of stocks with large betas and high idiosyncratic volatilities. These stocks' betas tend to reverse. Therefore, even when the CAPM holds period-by-period, the cross-sectional evidence on market beta is weak at best due to the confounding effect of beta reversal and instability. We further show that such a beta reversal is partly predictable by idiosyncratic volatility. As a result, the current beta estimates of individual stocks can significantly explain the cross-sectional differences in future returns whit a simple control for such a reversal effect. In fact, the market risk premium estimated from cross-sectional regression is close to that of the historical average. All results are robust with respect to different measures of beta and idiosyncratic volatility as well as different subsamples. In addition, we explore several possible causes for the beta reversal phenomenon.
Author: Tolga Cenesizoglu
Author: Tolga Cenesizoglu
Author: Jim Engle-Warnick
Author: Devraj Basu
Author: Jeong-Ryeol Kim
Author: Ravi Jagannathan
Author: Zhenyu Wang
Author: Wayne Ferson
Author: Halbert White
Author: 
Author: Yexiao Xu