Statistic descriptions indicate that the benefit of financial capitals in China has the characteristic of autoregressive conditional heteroskedasticity and abnormality.
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。
In this paper, we extended the basic stochastic volatility models to a stochastic volatility models with ARMA (1, 1) conditional heteroskedasticity and correlated errors.
我们首先提出了一个带arma(1,1)条件异方差相关的随机波动模型，它是基本的随机波动模型的一个自然的推广。
The turnover was used to measure the trading volume which was analyzed using the Autoregressive- Generalized Autoregressive Conditional Heteroskedasticity (AR- GARCH) model.
以市场换手率度量交易量，采用自回归广义自回归条件异方差（AR-GARCH）模型研究了中国股市交易量的时间系列。
The turnover was used to measure the trading volume which was analyzed using the Autoregressive- Generalized Autoregressive Conditional Heteroskedasticity (AR- GARCH) model.
以市场换手率度量交易量，采用自回归广义自回归条件异方差（AR-GARCH）模型研究了中国股市交易量的时间系列。
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