the financial support from the Beijing Municipal Social Science Foundation(No.20GLC054);the National Natural Science Foundation of China(Nos.72021001,72174020,71904009);the Natural Science Foundation of Beijing Municipality(No.9232014);the Humanities and Social Science Fund of Ministry of Education of China(No.18YJC840041).
This study uses complex network analysis to investigate global stock market co-movement during the black swan event of the Coronavirus Disease 2019(COVID-19)pandemic.We propose a novel method for calculating stock pri...
Analyzing comovements and connectedness is critical for providing significant implications for crypto-portfolio risk management.However,most existing research focuses on the lower-order moment nexus(i.e.the return and...
This work was financially supported by the National Social Science Fundof China(Grant No.21&ZD110).
China is breaking through the petrodollar system,establishing RMB-dominating crude oil futures market.The country is achieving a milestone in its transition to energy finance market internationalization.This study exp...
The present study investigates the timing and repercussion of the subprime crisis of 2008–09 in a regime-switching model.The interdependence and co-movement of financial markets in different countries has been enhanc...
Supported by National Fund of Philosophy and Social Science of China(18ZDA106)
With the boom of web technology,Internet concerns(IC)have become emerging drivers of crude oil price.This paper makes the first attempt to measure the frequency-varying co-movements between crude oil price and IC in f...
We study the time varying co-movement patterns of the crypto-currency prices with the help of wavelet-based methods;employing daily bilateral exchange rate of four major crypto-currencies namely Bitcoin,Ethereum,Lite ...
The current paper focusses on the co-movement between oil prices and renewable energy stock markets in a multivariate framework.The vine copula approach that offers a great flexibility in conditional dependence modell...
Wavelet coherence of time series provides valuable information about dynamic correlation and its impact on time scales.Here,the authors analyze the wavelet coherence of major real estate markets data,and take the USA,...
This paper investigates the impact of the US stock market on the co-movements among the BRIC stock markets using conditional Granger causality which allows a comprehensive exploration on direct and indirect causality....
Project(71073177)supported by the National Natural Science Foundation of China;Project(12JJ4077)supported by the Natural Science Foundation of Hunan Province of China;Project(2012zzts002)supported by the Fundamental Research Funds of Central South University,China
Using VAR-DCC-GARCH model,the literature on commodity price was extended by exploring the co-movement between Chinese nonferrous metal prices and global nonferrous metal prices represented by the nonferrous metal pric...