【24h】

Modeling Return Rate Correlation between Shanghai and Shenzhen Stock Markets Using Copula Function

机译:使用Copula功能的上海和深圳股市建模回速相关性

获取原文

摘要

This paper explores to model return rate correlation between Shanghai and Shenzhen stock markets, especially to discover tail dependence between them, in order to find simultaneous rise or fall of the two markets. Copula function that is good for modeling tail dependence is applied in this paper. We collect four-year Shanghai and Shenzhen composite index series from 2008 to 2011, and estimate their empirical distributions. Gaussian copula function and t-copula function are used for modeling the two markets' return rate correlation respectively. By comparing them with empirical copula, it is believed that t-copula model is better at modeling return rate correlation of the two stock markets.
机译:本文探讨了上海和深圳股市之间的返回率相关性,尤其是发现它们之间的尾部依赖,以寻找两个市场的同时上升或下降。 本文应用了适用于尾部依赖性的植物功能。 我们从2008年到2011年收集四年的上海和深圳综合指数系列,并估计其实证分布。 高斯Copula功能和T-Copula功能分别用于建模两个市场的回归率相关性。 通过将它们与经验谱进行比较,据信T-拷贝模型在两个股票市场的建模回速相关性上更好。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号