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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 被引量:2

Research on Risk Contagion of Financial Markets by Using Nonparametric Quantile Model
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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. 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.
出处 《华侨大学学报(自然科学版)》 CAS 北大核心 2013年第2期215-219,共5页 Journal of Huaqiao University(Natural Science)
基金 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)
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 nonparametric quantile regression financial markets interlaced appraisal method risk contagion value at risk
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  • 1蒋序怀,吴富佳,金桩.当前资本市场的风险传导机制——基于传染效应的实证分析[J].财经科学,2006(2):16-24. 被引量:17
  • 2THEODOSSIOU P, KAHYA E, KOUTMOS G, et al. Volatility Reversion and Correlation Structure of Returns in Major International Stock Markets [J]. Financial Review, 1997,32(2) : 205 -224.
  • 3KING M A, WADHWANI S. Transmission of Volatility between Stock Markets [ J]. Review of Financial Studies, 1990,3 ( 1 ) : 5 - 33.
  • 4HAHM S. Transmission of Stock Returns and Volatility: the Case of Korea [ J]. The Journal of Korean Economy, 2003,5 ( 1 ) :17 -45.
  • 5PARK Y C, SONG C Y. Financial Contagion in the East Asian Crisis: With Special Reference to the Republic of Korea [ R ]. Korea University Working Paper, 2000.
  • 6LESAGE J P. Applied Econometrics Using MATLAB [ M]. Department of Economics University of Toledo, 1999.
  • 7LITTERMAN R B. Forecasting with Bayesian Vector Autoregressions -Five Years of Experience [ J]. Journal of Business and E- conomic Statistics, 1986,4(1) : 25 -38.
  • 8SIMS C A, ZHA T. Bayesian Methods for Dynamic Multivariate Models [ R]. Federal Reserve Bank of Atlanta Working Paper, 1996:96 - 13.
  • 9ENGLE R F. Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation [ J]. Econ- ometrica, 1982,50(4) :987 - 1008.
  • 10Engle.R.F,KronerK.F. Muitivariate simultaneous generalized ARCH[J].{H}ECONOMETRIC THEORY,1995,(01):22-150.

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