ARCH类模型可以成功地预测金融资产收益率的方差。
ARCH models are often used to forecast the variance of the benefit of financial capitals.
同时，对影响金融资产收益率变化的其他因素也作出了深入的分析。
Meanwhile, this article also looks into some other important elements which can influence the change of the financial yield.
通过对我国股价指数的统计描述，表明我国金融资产收益率存在自回归条件异方差特征，并表现出非正态性。
Statistic descriptions indicate that the benefit of financial capitals in China has the characteristic of autoregressive conditional heteroskedasticity and abnormality.
股票价格的频繁波动是股票市场最明显的特征之一，自回归条件异方差类模型可以很好地预测金融资产收益率的方差。
Frequent volatility is a feature of stock market. Autoregressive Conditional Heteroscedasticity (ARCH) model is often used to forecast the variance of the benefit of financial capitals.
股票价格的频繁波动是股票市场最明显的特征之一，自回归条件异方差类模型可以很好地预测金融资产收益率的方差。
Frequent volatility is a feature of stock market. Autoregressive Conditional Heteroscedasticity (ARCH) model is often used to forecast the variance of the benefit of financial capitals.
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