期刊文献+

“深港通”对内地与香港股市间波动溢出效应的增量贡献 被引量:2

Incremental Contribution of"Shenzhen-Hong Kong Stock Connect"Program to Volatility Spillovers Effect of Stock Markets on Chinese Mainland and in Hong Kong
下载PDF
导出
摘要 "深港通"的制度设计初衷在于加强A股市场的国际化水平、增强境内外金融市场的互联互通。选取"深港通"实施前后的上证综指、深证成指、恒生综指5分钟高频交易数据,运用一种增广的三元BEKK-MGARCH(1,1)模型,实证得出"深港通"在"沪港通"的基础上带来内地与香港股票市场波动溢出的"增量效应",表明"深港通"的开通确实带来了内地与香港资本市场互联互通的新变化,且深港两市的波动溢出变化程度明显大于沪港两市波动溢出变化程度。 The original intention of"Shenzhen-Hong Kong Stock Connect"program is to strengthen the internationalization level of A-share market and enhance the interconnection of domestic and foreign financial markets.By selecting the 5-minute high-frequency trading data of Shanghai Composite Index,Shenzhen Component Index and Hang Seng Composite Index before and after the implementation of"Shenzhen-Hong Kong Stock Connect"program,this paper applies an augmented three variables BEKK-MGARCH(1,1)model to empirically study the"incremental effect"of"Shenzhen-Hong Kong Stock Connect"on the basis of"Shanghai-Hong Kong Stock Connect".It is verified that the opening of"Shenzhen-Hong Kong Stock Connect"does result in new changes for the connectivity of capital markets on the Chinese mainland and in Hong Kong.The volatility spillovers of Shenzhen and Hong Kong are obviously greater than those of Shanghai and Hong Kong.
作者 王仁曾 林敏依 Wang Renzeng;Lin Minyi(Research Center of Chinese Financial Market,School of Economics and Commerce,Soulh China University of Technology,Guangzhou 510006,China)
出处 《西北民族大学学报(哲学社会科学版)》 CSSCI 2020年第2期93-100,共8页 Journal of Northwest Minzu University(Philosophy and Social Sciences)
基金 国家社会科学基金重点项目“金融科技驱动金融市场结构演进、效率变迁及金融稳定性演化研究”(项目编号:19AJY025)。
关键词 深港通 波动溢出 增量贡献 BEKK-MGARCH(1 1)模型 实证检验 Shenzhen-Hong Kong Stock Connect volatility spillovers incremental contribution BEKK-MGARCH(1,1)model empirical test
  • 相关文献

参考文献13

二级参考文献100

  • 1黄建中.上海能取代香港吗?──关于沪港金融中心定位的思考[J].深圳大学学报(人文社会科学版),1996,13(1):54-54. 被引量:2
  • 2韦艳华,张世英.多元Copula-GARCH模型及其在金融风险分析上的应用[J].数理统计与管理,2007,26(3):432-439. 被引量:72
  • 3[1]Andersen.T.and Bollerslev.T.,Diebold.F.And Lebys.P.,1999,The Distribution of Exchange Rate Volatility,working paper,NBER.
  • 4[2]Andersen.T.and Bollerslev.T.,1998b,Answering The Skeptics:Yes Standard Volatility Models to Provide Accurate Forecasts,International Economic Review.39,P885~905.
  • 5[3]Ann.N.,BAE.F.,and Chan.R.,2001,Limit Orders,Depth,and Volatility:Evidence from the Stook Exchange of Hong Kong,J.of Fin.,VLVI(2),P767~788.
  • 6[4]Bai.X,Rusell.J.and Tiao.G,2000,Beyond Merton' s Utopian:Effects of Dependence and Non-normality on Variance Estimates Using High-Frequency Data,working paper,UC.
  • 7[5]Bai.X,Rusell.J.and Tiao.G,2000,Kurtosis of GARCH and Stochastic Volatility Models,working paper,UC.
  • 8[6]Bollenslev.T,2001,Financial Econometrics:past development and future challenges,J.of Econometrics,100,P41~56.
  • 9[7]Campbell J.and Shiller.R,1998a,the Dividend-price Rational Expectations of Future Dividends and Discount Fator,Rev.of Ein Stud.,1,P357~386.
  • 10[8]Campbell J.and Shiller.R,1998b,Stock Prices,Earnings and Expected Dividends,J.of Fin,43,P661~676.

同被引文献31

引证文献2

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