...stochastic volatility models, density estimation, kernel estimator, deconvolution, mixingAMS subject classic[gap=232]关键词：随机波动模型，密度估计，核估计，反褶积，mixingAMS主题现象的分类：62G07，62M07，62P20 11 ..
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The Stochastic Volatility models (SV model) is a kind of time series model which can reflect fluctuation that can not be observed directly.
随机波动(SV)模型是一种重要的具有隐性波动的时间序列模型。
Based on this we simulate the volatility features of the two kinds of yield rate time series and analyze their fitting results using the stochastic volatility models.
在此基础上利用随机波动类模型对两种收益率的波动性特征进行拟合，并对拟合优度进行分析。
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。
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