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上海股市收益与流动性风险动态关系实证
引用本文:罗登跃,王庆.上海股市收益与流动性风险动态关系实证[J].哈尔滨工业大学学报,2009,41(4):286-288.
作者姓名:罗登跃  王庆
作者单位:罗登跃,LUO Deng-yue(山东大学,管理学院,济南,250100;天津大学,管理学院,天津,300072);王庆,WANG Qing(天津大学,管理学院,天津,300072)  
摘    要:应用Engle(2002)提出的动态条件相关多元GARCH模型(DCC-MVGARCH)和向量自回归(VAR)方法,研究了上海股票市场收益与Acharya and Pedersen(2005)提出的三种流动性风险以及系统风险变量的动态关系.研究结果表明,上海股市存在系统风险溢价和流动性风险溢价,但风险变量对收益率的影响较小,股市的风险传递机制尚未真正形成.

关 键 词:流动性风险  动态条件相关多元GARCH模型  向量自回归  脉冲响应函数  方差分解

Dynamic relationship between return and liquidity risk in Shanghai Stock Markets
LUO Deng-yue,WANG Qing.Dynamic relationship between return and liquidity risk in Shanghai Stock Markets[J].Journal of Harbin Institute of Technology,2009,41(4):286-288.
Authors:LUO Deng-yue  WANG Qing
Affiliation:1.School of Business and Management,Shandong University,Jinan 250100,China;2.School of Management,Tianjin University,Tianjin 300072,China)
Abstract:In this study,we deal with the dynamic relationship between return and three liquidity risks proposed by Acharya and Pedersen and systematic risk variables in Shanghai Stock Markets,by applying the dynamic conditional correlation multivariate GARCH(DCC-MVGARCH) proposed by Engle and the method of vector auto-regression(VAR).The findings suggest that systematic risk premium and liquidity risk premium exist in Shanghai Stock Markets.But the impact of risk variables on return is weak,and the risk-transition mechanism is not formed completely.
Keywords:liquidity risk  dynamic conditional correlation multivariate GARCH  vector auto-regression  impulse-response function  variance decomposition
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