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Testing the CAPM Theory Based on a New Model for Fama-French 25 Portfolio Returns

机译:基于Fama-French 25个投资组合收益的新模型测试CAPM理论

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In this paper, a new model is proposed to empirically test the Capital Asset Pricing Theory. This model is based on the EGARCH-type volatilities in Nelson (1991) and the non-Normal errors of SSAEPD in Zhu and Zinde-Walsh (2009). Is the CAPM theory in Sharpe (1964), Lintner (1965) and Mossin (1966) still alive? Returns of Fama-French 25 stock portfolios (1926-2011) are analyzed. The Maximum Likelihood Estimation Method is used. Likelihood Ratio test (LR) and Kolmogorov-Smirnov test (KS) are used to do model diagnostics. Akaike Information Criterion (AIC) is used for model comparison. Simulation results show the MatLab program is valid. Empirical results show with non-Normal errors and the EGARCH-type volatilities, the CAPM theory is not alive. This new model can capture the skewness, fat-tailness, asymmetric effects and volatility persistence in the data. This new model has better in-sample fit than others. Portfolios with smaller size have larger Beta value.
机译:本文提出了一种新模型来对资本资产定价理论进行实证检验。该模型基于Nelson(1991)的EGARCH型波动率和Zhu and Zinde-Walsh(2009)的SSAEPD的非正态误差。 Sharpe(1964),Lintner(1965)和Mossin(1966)的CAPM理论是否仍然存在?分析了Fama-French 25个股票投资组合(1926-2011)的收益。使用最大似然估计方法。似然比检验(LR)和Kolmogorov-Smirnov检验(KS)用于进行模型诊断。使用Akaike信息准则(AIC)进行模型比较。仿真结果表明MatLab程序是有效的。经验结果表明,在非正态误差和EGARCH型波动率的情况下,CAPM理论还没有成立。这个新模型可以捕获数据中的偏度,肥尾度,不对称效应和波动持久性。这种新模型具有比其他模型更好的样本内拟合度。规模较小的投资组合具有较大的Beta值。

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