Affiliation:
1. Ocean University of China
2. Shandong University of Finance and Economics
Abstract
The paper analyses the trend of global stock market linkages via daily data of 51 stock indices spanning the period 22 July 2005 to 30 June 2016 which covers four regions: America, Europe, Asia Pacific and Africa. A dynamic conditional multivariate generalized autoregressive conditional heteroskedasticity (DCC-MVGARCH) approach was used to calculate dynamic correlation coefficient in order to construct the volatility networks. The methods of minimum spanning tree (MST) and low pass filter were for the first time applied to analyze the variable periodicity of the comovement. The original contribution of this paper is that contrary to previous works, financial events such as Quantitative Easing (QE) and Bailouts are accounted for rather than only crisis factors such as the 2008 financial crisis and the European Debt crisis. The main findings of the paper are as follows: (1) Financial crisis promotes and strengthens global stock markets linkage in the short run; (2) Linkage cycles post crisis are significantly short, due to the effect of monetary policy spillover effects caused by QE from developed to developing countries; and (3) European stock markets are the information transmission hub for global stock market. The research conclusions would be significant for both government to regulate markets as well as for investors to diversify risks.
Funder
The ministry of education philosophy and social sciences development report breeding project
National Natural Science Foundation of China
Taishan Scholars Project of Shandong Province
national social science fund major projects
Public welfare industry research projects
Publisher
Vilnius Gediminas Technical University
Subject
Economics and Econometrics,Business, Management and Accounting (miscellaneous)
Cited by
24 articles.
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