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但是这一模型假设极端价格波动的概率是可忽略的，而在现实当中，股票价格的剧烈波动远比假设的情形要频繁。
But it assumes that the probability of extreme price changes is negligible, when in reality, stock prices are much jerkier than this.
在考虑一个带有股票和债券的金融市场后，本文提出了一个具随机波动率的股票价格的随机微分方程模型。
Considering a financial market with risky stocks and riskless bond, we describe the stochastic model of stock prices with stochastic volatility.
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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