期刊文献+

分层制度背景下新三板市场风险溢出效应研究 被引量:2

Research on Risk Spillover Effects of the New OTC Market under the Background of Stratification System
下载PDF
导出
摘要 在新三板市场发展日渐成熟的背景下,探讨其与沪深股市之间的波动溢出效应对于完善我国金融市场的稳定性研究具有重要意义。利用分层制度前后各指数收益率数据,运用GARCH-CoVaR模型测算三板做市指数与沪深股市各指数之间的风险溢出情况。研究结果表明:新三板市场与沪深股市存在双向时变风险溢出效应,分层制度的实施显著降低了新三板市场的风险波动情况,同时减弱了其与沪深股市之间的风险溢出效应。因此,应当进一步细化新三板市场的分层,完善市场相关制度建设。 Under the background of the maturity of the New OTC Market,it is of great significance to explore its volatility spillover effect with the Shanghai and Shenzhen stock markets to improve the stability research on China's financial market. Using the index returns data before and after the stratification system,the GARCH-Co VaR model was used to measure the risk spillover between the three board market making index and the Shanghai and Shenzhen stock market indices. The results of the study show that there is a two-way time-varying risk spillover effect between the New OTC Market and the Shanghai and Shenzhen stock markets. The implementation of a stratification system has significantly reduced the risk fluctuations in the New OTC Market,and at the same time weakened the risk spillover effect between it and Shanghai and Shenzhen stock markets. Therefore,we should further refine the stratification of the New OTC Market and improve the construction of market-related systems.
作者 叶冲 柯建飞 YE Chong;KE Jianfei(Business School,Ningbo University,Ningbo 315211,China)
机构地区 宁波大学商学院
出处 《科技与经济》 2018年第4期71-75,共5页 Science & Technology and Economy
关键词 新三板市场 分层制度 溢出效应 GARCH-CoVaR模型 New OTC Market stratification system spillover effect GARCHCoVaR model
  • 相关文献

参考文献6

二级参考文献74

  • 1李冰.我国新三板证券交易市场中做市商制度的构建研究[J].经济视角,2013,32(7):34-35. 被引量:2
  • 2龚锐,陈仲常,杨栋锐.GARCH族模型计算中国股市在险价值(VaR)风险的比较研究与评述[J].数量经济技术经济研究,2005,22(7):67-81. 被引量:99
  • 3韩非,肖辉.中美股市间的联动性分析[J].金融研究,2005(11):117-129. 被引量:157
  • 4Engle,R.F.(1982),Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation[J].Econometrica 50:987-1007.
  • 5Laurent,S.,Peters,J.-P.(2002),G@RCH 2.2:An Ox Package for Estimating and Forecasting Various ARCH Models[J].Journal of Economic Surveys 16:447-485.
  • 6Bollerslev,T.(1986),Generalized Autoregressive Conditional Heteroskedasticity[J].Journal of Econometrics,31:307-327.
  • 7Ding,Z.,Granger,C.W.J.,Engle,R.F.(1993),A Long Memory Property of Stock Market Returns and a New Model[J].Journal of Empirical Finance 1:83-106.
  • 8Baillie R.,Bollerslev T.,Mikkelsen H.(1996),Fractionally Integrated Generalized Autoregressive Conditional Heteroskedasticity[J].Journal of Econometrics 74:3-30.
  • 9Chung C-F (1999),Estimating the Fractionally Integrated GARCH Model.National Taiwan University,TW,China.
  • 10Tse,Y.K.,Tsui,A.K.C.(1998),A Multivariate Garch Model with Time-varying Correlations[J].Forthcoming in Journal of Business,Economics and Statistics.

共引文献105

同被引文献39

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部