therefore, evaluation could be carried out by means of generalized autoregressive conditional heteroscedasticity (garch), which could make hedge ratio vary with time.
因此,评估可由广义自回归条件异方差(garch模型),这可能使避险比率意味着出随时间变化。
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。
this paper proves the elasticity of china「s exchange market under interference after the asian financial crisis by adopting autoregressive conditional heteroscedasticity (arch) model.
本文通过自回归条件异方差(arch)模型证明了亚洲金融危机后中国汇市在干预下的弹性。
this paper deals with the statistical inference of an autoregressive conditional heteroscedasticity (arch) model under restriction.
研究序约束条件下自回归条件异方差(arch)模型的统计推断。
we find that the price in china」s economy is symmetric and has conditional heteroscedasticity in the period of expansion and recession.
我国价格水平变化具有一定程度的对称性,但在通货膨胀和通货紧缩阶段具有不同的波动性。
in this paper, a new model—transmissibility function model with conditional heteroscedasticity is proposed, and its conditions as well as the fitting and forecasting effect have been studied.
本文对残差具有异方差性的传递函数模型提出了一种新的模型——条件异方差传递函数模型,并对建立此类模型的条件和拟合及预测效果进行了研究。
the generalized autoregressive conditional heteroscedasticity (garch) model has the ability to describe the volatility of time series.
广义自回归条件异方差(garch)模型具有描述时间序列波动性的能力。