• Stochastic volatility model is one of the most important models in describing the volatility of financial market and its parameter estimation is a hot topic in this area.

    随机波动模型作为金融市场波动量化研究的一种重要模型,其参数估计问题是近十余年来该领域的研究热点。

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  • This paper orders option prices under different well known martingale measures in an incomplete stochastic volatility model.

    基于不完备的随机波动率模型,本文给出了不同著名鞅测度下定价的大小顺序。

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  • Aimed at this case, this paper try to construct a simple stochastic volatility model - volatility following a finite Markov chain.

    针对这种情况,本文试图建立一种比较简单的随机波动率模型——波动率服从有限马氏链的模型。

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  • This paper deals with the minimal entropy martingale measure and utility indifference pricing concerning a stochastic volatility model.

    本文研究了随机波动率模型的最小熵鞅测度和效用无差别定价。

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  • The results indicated that in these two types of models, the EGARCH-M model and the leverage stochastic volatility model had better fitting results.

    拟合结果表明,在两类模型中egarch - M模型和杠杆随机波动模型具有较好的拟合效果。

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  • To solve the higher peak and fat tail phenomenon, immediate memory and asymmetric features, this paper formulate the volatility model of exchange rate returns using the ARFIMA-EGARCH-M model.

    为了解决汇率收益率波动中的“尖峰厚尾”、中期记忆和非对称特征,提出了利用ARFIMA - EGARCH - M模型建立汇率收益率波动模型。

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  • Empirical results on Chinese stock market indicate that stochastic volatility model based on the two index outperforms those based on one index in capturing volatility character and market risk.

    利用中国股市数据进行的实证结果表明,与单测度指标的随机波动率模型相比,基于两个测度指标的随机波动率模型能更好地描述股票市场波动率和市场波动风险。

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  • The author further compares the ASVJD model with the Geometric Brownian model, CKLS model, Geometric Brownian with Jump model and the Affine Stochastic Volatility model in demonstration.

    同时,分别将其与几何布朗运动模型、CKLS模型、带跳跃的几何布朗运动模型和仿射随机波动模型进行了比较研究。

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  • The author further compares the ASVJD model with the Geometric Brownian model, CKLS model, Geometric Brownian with Jump model and the Affine Stochastic Volatility model in demonstration.

    同时,分别将其与几何布朗运动模型、CKLS模型、带跳跃的几何布朗运动模型和仿射随机波动模型进行了比较研究。

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