Research on Industry Index Fluctuation of Stock Market Based on SV-T Model

Qian Li, Juying Xi, Shuo Wang
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Abstract

In a complex market environment, it is important to describe and predict the volatility of returns in various industries. In this paper, after ADF stability test is conducted on the return rate sequence of building materials, real estate, medicine biological, non-bank finance, and communication industry, SV-T modeling is carried out, and the parameter estimation range of SV-T model is obtained by using MCMC method and Winbugs software. After ten thousand iterations, under the condition that the Markov chain of parameters obtained by Gibbs sampling method converges, the parameter estimation results of SV-T model are obtained. According to the parameter estimation results of SV-T model in each industry, the difference of investment risk and volatility predictability among five target industries is compared and analyzed.
基于SV-T模型的股票市场行业指数波动研究
在一个复杂的市场环境中,描述和预测各个行业的回报波动是很重要的。本文对建材、房地产、医药生物、非银行金融、通信行业的收益率序列进行ADF稳定性检验后,进行SV-T建模,并利用MCMC方法和Winbugs软件得到SV-T模型的参数估计范围。经过一万次迭代,在Gibbs抽样法得到的参数马尔可夫链收敛的条件下,得到了SV-T模型的参数估计结果。根据各行业的SV-T模型参数估计结果,比较分析了五个目标行业的投资风险和波动性可预测性的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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