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基于MCMC方法的连续时间SV模型建模研究
引用本文:周彦,张世英.基于MCMC方法的连续时间SV模型建模研究[J].工业工程,2007,10(1):83-86.
作者姓名:周彦  张世英
作者单位:天津大学,管理学院,天津,300072
摘    要:连续时间模型已被广泛地应用于资产定价中,但是它的参数估计仍存在许多困难.针对这一问题,利用基于Markov链的Monte Carlo模拟积分方法对连续时间的SV模型进行估计,选取上海股市的日综合指数进行实证研究,结果证明了所提模型和方法的有效性.

关 键 词:连续时间随机波动  Markov链的Monte  Carlo模拟积分  Milstein离散化
文章编号:1007-7375(2007)01-0083-04
修稿时间:2005-07-11

Modeling of Continuous-time Stochastic Volatility Using MCMC Method
ZHOU Yan,ZHANG Shi-ying.Modeling of Continuous-time Stochastic Volatility Using MCMC Method[J].Industrial Engineering Journal,2007,10(1):83-86.
Authors:ZHOU Yan  ZHANG Shi-ying
Affiliation:School of Management, Tianjin University, Tianjin 300072, China
Abstract:The continuous-time models have been used in the pricing of various stocks. But there are still many difficulties in the estimate. For this problem, the parameters of the model are estimated by using Markov chain Monte Carlo method and an example is taken based on Shanghai Stock Exchange index. The results show that the modle and the method are both valid.
Keywords:continuous-time stochastic volatility  Markov chain Monte Carlo  Milstein discretization
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