Testing Capital Asset Pricing Models Using Functional-coefficient Panel Data Models with Cross-sectional Dependence PDF Download

Author: Zongwu Cai
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: James W. Kolari
Publisher: Springer Nature
ISBN: 3030651975
Category : Business & Economics
Languages : en
Pages : 326

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Book Description
This book proposes a new capital asset pricing model dubbed the ZCAPM that outperforms other popular models in empirical tests using US stock returns. The ZCAPM is derived from Fischer Black’s well-known zero-beta CAPM, itself a more general form of the famous capital asset pricing model (CAPM) by 1990 Nobel Laureate William Sharpe and others. It is widely accepted that the CAPM has failed in its theoretical relation between market beta risk and average stock returns, as numerous studies have shown that it does not work in the real world with empirical stock return data. The upshot of the CAPM’s failure is that many new factors have been proposed by researchers. However, the number of factors proposed by authors has steadily increased into the hundreds over the past three decades. This new ZCAPM is a path-breaking asset pricing model that is shown to outperform popular models currently in practice in finance across different test assets and time periods. Since asset pricing is central to the field of finance, it can be broadly employed across many areas, including investment analysis, cost of equity analyses, valuation, corporate decision making, pension portfolio management, etc. The ZCAPM represents a revolution in finance that proves the CAPM as conceived by Sharpe and others is alive and well in a new form, and will certainly be of interest to academics, researchers, students, and professionals of finance, investing, and economics.

Author: Eleftherios Giovanis
Publisher: GRIN Verlag
ISBN: 3640576799
Category : Business & Economics
Languages : en
Pages : 94

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Seminar paper from the year 2007 in the subject Business economics - Investment and Finance, grade: 90.0%, , language: English, abstract: This paper examines the estimating and forecasting performance of the different and various Generalized Autoregressive Conditional Heteroscedasticity-GARCH’s models in relation to Capital Asste Pricing Model (CAPM) model. We apply the CAPM model with ordinary least squares (OLS) method to investigate if an ARCH (Autoregressive Conditional Heteroscedasticity) is presented and we are trying to decide and to analyze which GARCH model is the most appropriate and the best fitted for the financial time series that we have chosen. We apply CAPM model in the financial time series of the share prices of Technology-Software Sector in Athens Exchange stock market for the period January 1st of 2002 to October 30th of 2007 for the enterprises “Unibrain” “MLS Informatics” and “Dionic” respectively , from April 2nd of 2002 to 30th October of 2007 for the enterprise “Compucon”, from August 2nd of 2002 to 30th October of 2007 for the enterprise “Centric”, and finally from February 2nd of 2004 to 30th October of 2007 for the enterprise “Ilyda”. Additionally, we apply roiling regressions, where the full programming routines in EVIEWS and MATLAB are described detailed. We conclude that the slope β coefficient of CAPM model is not constant through the time period of rolling regressions we apply. In the final part we examine a simple Arbitrage Pricing Theory (APT) model.

Author: Ali Jahankhani
Publisher:
ISBN:
Category : Capital assets pricing model
Languages : en
Pages : 76

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Our research indicated that there is a linear relationship between risk and return and higher risk is associated with higher average return. These results are consistent with the implications of both Sharpe-Lintner version and Black version of the CAPM. Furthermore, our results did not reject the hypotheses that E(Y0)=Rf and E(Y1)=Rm-Rf. therefore, the empirical results of this study supported all the implications of the Sharpe-Lintner CAPM.

Author: John H. Cochrane
Publisher:
ISBN:
Category :
Languages : en
Pages : 66

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Book Description
This paper tests a factor pricing model for stock returns. The factors are returns on physical investment, inferred from investment data via a production function. The tests examine the model's ability to explain the variation in expected returns across assets and over time. The model is not rejected. It performs about as well as the CAPM and the Chen, Roll and Ross factor model, and it performs substantially better than a simple consumption-based model. In comparison tests, the investment return factors drive out all the other models. The paper also provides an easy technique for estimating and testing dynamic, conditional asset pricing models. All one has to do is include factors and returns scaled by instruments in an unconditional estimate. This procedure imposes none of the usual restrictions on conditional moments, and does not require prewhitened or orthogonalized factors.

Author: Wayne Ferson
Publisher: MIT Press
ISBN: 0262039370
Category : Business & Economics
Languages : en
Pages : 497

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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: John H. Cochrane
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
I examine a factor pricing model for stock returns. The factors are returns on physical investment, inferred from investment data via a production function. I examine the model's ability to explain variation in expected returns across asset and over time. The model is not rejected. It performs about as well as the CAPM and the Chen, Roll, and Ross factor model, and it performs substantially better than a simple consumption-based model. I also provide an easy technique for estimating and testing dynamic, conditional asset pricing models--one simply includes factors and returns scaled by instruments in an unconditional estimate--and for comparing such models.

Author: Lucas Ammelung
Publisher:
ISBN: 9783346338099
Category :
Languages : en
Pages : 62

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Book Description
Bachelor Thesis from the year 2020 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, Munich University of Applied Sciences, language: English, abstract: The goal of this study is thus to determine the best available asset pricing model in Germany and whether the use of pre-existing datasets, with the factors already calculated, brings results as accurate as a custom dataset. This is relevant in Germany as the CAPM is still the most commonly used way to compute the cost of equity with 34% of companies using it. Another 16% of companies are using asset pricing models with additional risk factors. To determine the answer to this, this study will look into the aforementioned three most commonly used models: the CAPM, the Fama and French three-factor model and the Carhart four-factor model. After explaining the background and functioning of the CAPM, this study will show the flaws within the model and how these flaws led to extensions of the CAPM. Each model will then be statistically analyzed with three distinct sets of data. Two of these are publicly available, while the last has been calculated for this study. Lastly, to understand how the difference in data used can influence the results from asset pricing models, the runtime and underlying factor of datasets will be modified, re-analyzed and compared to the initial results.

Author: Andrew Wen-Chuan Lo
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 60

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Book Description
We investigate the extent to which tests of financial asset pricing models may be biased by using properties of the data to construct the test statistics. Specifically, we focus on tests using returns to portfolios of common stock where portfolios are constructed by sorting on some empirically motivated characteristic of the securities such as market value of equity. We present both analytical calculations and Monte Carlo simulations that show the effects of this type of data-snooping to be substantial. Even when the sorting characteristic is only marginally correlated with individual security statistics, 5 percent tests based on sorted portfolio returns may reject with probability one under the null hypothesis. This bias is shown to worsen as the number of securities increases given a fixed number of portfolios, and as the number of portfolios decreases given a fixed number of securities. We provide an empirical example that illustrates the practical relevance of these biases.

Author: John H. Cochrane
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
This paper tests a factor pricing model for stock returns. The factors are returns on physical investment, inferred from investment data via a production function. The tests examine the model's ability to explain the variation in expected returns across assets and over time. The model is not rejected. It performs about as well as the CAPM and the Chen, Roll and Ross factor model, and it performs substantially better than a simple consumption-based model. In comparison tests, the investment return factors drive out all the other models. The paper also provides an easy technique for estimating and testing dynamic, conditional asset pricing models. All one has to do is include factors and returns scaled by instruments in an unconditional estimate. This procedure imposes none of the usual restrictions on conditional moments, and does not require prewhitened or orthogonalized factors.