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Analysis of US Agriculture Market with a New Fama-French Three-Factor Model

机译:与新的Fama-French三因素模型分析美国农业市场

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In this article, we propose a new Index for Agriculture Output (AOI) in US. Sample period is from 1960 to 2004. Data is analyzed by a new model, which includes 3 factors in Fama and French (1993), the EGARCH-type volatilities in Nelson(1991) and non-Normal errors in Zhu and Zinde-Walsh(2009). This new agriculture index (AOI) is compared with that constructed by Professor Kenneth R. French. LR, KS and AIC are used for testing parameter restrictions, residual check and model comparison, respectively. MLE is used to estimate parameters via Matlab. Empirical results show the Fama-French 3 factors are still alive! The new model can capture the skewness, fat-tailness and the asymmetric kurtosis in returns, which has better in-sample fit.
机译:在本文中,我们提出了美国农业产出的新指数(AOI)。 样品期为1960年至2004年。通过一个新模型分析数据,其中包括FAMA和法语(1993)的3个因素,尼尔森(1991年)的EGARCH型挥发性,朱和Zinde-Walsh中的非正常错误( 2009))。 这种新农业指数(AOI)与肯尼斯·罗法国教授建造的。 LR,KS和AIC分别用于测试参数限制,剩余检查和模型比较。 MLE用于通过MATLAB估算参数。 经验结果显示Fama-French 3因素仍然活着! 新模型可以捕获偏振,脂肪尾和峰值的回报,其具有更好的样品拟合。

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