GARCH copula quantile regression model for risk spillover analysis

M Tian, H Ji - Finance Research Letters, 2022 - Elsevier
M Tian, H Ji
Finance Research Letters, 2022Elsevier
To assess risk spillovers, this paper proposes a new GARCH copula quantile regression-
based CoVaR model in which the nonlinear tail dependence is allowed to change with risk
levels. Based on MSCI index daily data, we investigate the risk spillovers from four financial
markets to the financial system of developed market. We find that Germany displays the
largest risk spillovers, followed by France, the US and the UK, and that the risk spillovers are
much larger during the COVID-19 pandemic than during the periods of the financial crisis …
Abstract
To assess risk spillovers, this paper proposes a new GARCH copula quantile regression-based CoVaR model in which the nonlinear tail dependence is allowed to change with risk levels. Based on MSCI index daily data, we investigate the risk spillovers from four financial markets to the financial system of developed market. We find that Germany displays the largest risk spillovers, followed by France, the US and the UK, and that the risk spillovers are much larger during the COVID-19 pandemic than during the periods of the financial crisis and sovereign debt crisis.
Elsevier
以上显示的是最相近的搜索结果。 查看全部搜索结果