首页> 外文会议>2007 International Conference on Management Science and Engineering(2007管理科学与工程国际学术会议)论文集 >Common Volatility Spillover Analysis and Empirical Study on the Financial Market Based on PCA-SV Model
【24h】

Common Volatility Spillover Analysis and Empirical Study on the Financial Market Based on PCA-SV Model

机译:基于PCA-SV模型的金融市场常见波动溢出分析与实证研究

获取原文

摘要

It is very important to mensurate volatility spillover for the dynamic investment portfolio and risk management.The known data have shown that SV model is better than GARCH models in describing volatility of the financial market.There are few documents to study volatility spillover of the financial market with SV model,and even fewer documents to study common volatility spillover from the multi-financial markets to a single financial market with SV model.By using Principal Components,we indicate the common index of volatility of multi-financial markets,With SV model and Principal Components Analysis (PCA-SV),the thesis studies common volatility spillover from the multi-financial markets to a single financial market and carries out an empirical analysis.
机译:确定波动率溢出对于动态投资组合和风险管理非常重要。已知数据表明,SV模型在描述金融市场波动性方面优于GARCH模型。研究金融市场波动性溢出的文献很少。使用SV模型,使用SV模型研究从多金融市场到单个金融市场的常见波动溢出的文档甚至更少。通过使用主成分,我们用SV模型和SV模型指示了多金融市场的通用波动指数。主成分分析(PCA-SV),研究了从多金融市场到单一金融市场的常见波动溢出,并进行了实证分析。

著录项

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