[1]陈燕武,黄静菲.利用非参分位数回归模型分析金融市场的风险传染[J].华侨大学学报(自然科学版),2013,34(2):215-219.[doi:10.11830/ISSN.1000-5013.2013.02.0215]
 CHEN Yan-wu,HUANG Jing-fei.Research on Risk Contagion of Financial Markets by Using Nonparametric Quantile Model[J].Journal of Huaqiao University(Natural Science),2013,34(2):215-219.[doi:10.11830/ISSN.1000-5013.2013.02.0215]
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利用非参分位数回归模型分析金融市场的风险传染()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第34卷
期数:
2013年第2期
页码:
215-219
栏目:
出版日期:
2013-03-20

文章信息/Info

Title:
Research on Risk Contagion of Financial Markets by Using Nonparametric Quantile Model
文章编号:
1000-5013(2013)02-0215-05
作者:
陈燕武1 黄静菲2
1. 华侨大学 数量经济研究院, 福建 泉州 362021;2. 华侨大学 经济与金融学院, 福建 泉州 362021
Author(s):
CHEN Yan-wu1 HUANG Jing-fei2
1. Academy of Quantitative Economics, Huaqiao University, Fujian 362021, China; 2. College of Economics and Finance, Huaqiao University, Fujian 362021, China
关键词:
非参分位数回归 金融市场 交错鉴定法 风险传染 风险价值
Keywords:
nonparametric quantile regression financial markets interlaced appraisal method risk contagion value at risk
分类号:
O212;F830.9
DOI:
10.11830/ISSN.1000-5013.2013.02.0215
文献标志码:
A
摘要:
基于市场风险的角度,采用非参分位数回归模型,结合中国、美国、英国和日本4个国家股票市场的数据进行实证分析.实证结果表明:4个国家的金融市场存在着风险传染效应,而且这种传染是非线性的;风险产生国的金融市场首先受到影响,进而再传染到其他3个国家的金融市场,而且这种风险传染对于不健全的金融市场的影响程度要大于相对比较健全的金融市场.
Abstract:
The case study has been done in this paper with the nonparametric quantile regression method connecting with the data of stock markets of four countries— China, America, Britain and Japan, from a view of market risk, which shows that there are risk contagion effects among the financial markets of the four countries. And this contagion is nonlinear. The financial market of the country resulting in the risk is firstly affected and then the effects are contaminated into the financial markets of other three countries. The degree of effects on unsound financial markets is bigger than that of relatively sound financial markets.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2012-04-14
通信作者: 陈燕武(1971-),女,教授,主要从事金融工程和金融计量的研究.E-mail:cywhelen@163.com.
基金项目: 中央高校基本科研业务费专项基金资助项目(JB-ZR1163); 福建省社科规划基金资助项目(2011B161); 福建省泉州市科技计划项目(2012Z100)
更新日期/Last Update: 2013-03-20