Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks
We first employ the method of multivariate GARCH models and Vine-Copula-CoVaR to analyse relationships between dependence, systematic risk spillover, and volatility spillover between the USD/CNY exchange rate and the returns on WTI crude oil futures and the Chinese stock market since China's 20...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022030250 |
| _version_ | 1797987834326417408 |
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| author | Hongjun Zeng Abdullahi D. Ahmed Ran Lu Ningjing Dai |
| author_facet | Hongjun Zeng Abdullahi D. Ahmed Ran Lu Ningjing Dai |
| author_sort | Hongjun Zeng |
| collection | DOAJ |
| description | We first employ the method of multivariate GARCH models and Vine-Copula-CoVaR to analyse relationships between dependence, systematic risk spillover, and volatility spillover between the USD/CNY exchange rate and the returns on WTI crude oil futures and the Chinese stock market since China's 2005 foreign exchange reform. We utilise daily data from 2005 to 2020. We find a more complex dependence of the USD/CNY exchange rate on stock markets and WTI crude oil prices. All have negative risk spillovers among paired markets, with WTI having the most substantial risk spillover. However, the strength of the systematic risk spillover varies across markets. Based on the results of the VAR(1)-BEKK-GARCH (1,1) and Wald tests confirm that there is a substantial mean spillover from the Chinese stock market and the USD/CNY exchange rate to the WTI crude oil price, whereas there is a more significant spillover from the WTI crude oil price to Chinese stock market volatility. The empirical findings extend the systematic understanding of the international crude oil price shocks to the dependence and transmission mechanism between the Chinese stock market and the USD/CNY exchange rate (USD/CNY). Our findings can help investors and policymakers to manage risk better and develop more sensible market rules. |
| first_indexed | 2024-04-11T07:53:33Z |
| format | Article |
| id | doaj.art-3d93f04cf05446dabf881975155baa0c |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-11T07:53:33Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-3d93f04cf05446dabf881975155baa0c2022-12-22T04:35:59ZengElsevierHeliyon2405-84402022-11-01811e11737Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworksHongjun Zeng0Abdullahi D. Ahmed1Ran Lu2Ningjing Dai3School of Accounting, Information Systems and Supply Chain, RMIT University, Australia; Corresponding author.School of AISSC—RMIT University, Melbourne, AustraliaGreenCrush, Melbourne, AustraliaAgricultural Bank of China Hangzhou Branch, Hangzhou, ChinaWe first employ the method of multivariate GARCH models and Vine-Copula-CoVaR to analyse relationships between dependence, systematic risk spillover, and volatility spillover between the USD/CNY exchange rate and the returns on WTI crude oil futures and the Chinese stock market since China's 2005 foreign exchange reform. We utilise daily data from 2005 to 2020. We find a more complex dependence of the USD/CNY exchange rate on stock markets and WTI crude oil prices. All have negative risk spillovers among paired markets, with WTI having the most substantial risk spillover. However, the strength of the systematic risk spillover varies across markets. Based on the results of the VAR(1)-BEKK-GARCH (1,1) and Wald tests confirm that there is a substantial mean spillover from the Chinese stock market and the USD/CNY exchange rate to the WTI crude oil price, whereas there is a more significant spillover from the WTI crude oil price to Chinese stock market volatility. The empirical findings extend the systematic understanding of the international crude oil price shocks to the dependence and transmission mechanism between the Chinese stock market and the USD/CNY exchange rate (USD/CNY). Our findings can help investors and policymakers to manage risk better and develop more sensible market rules.http://www.sciencedirect.com/science/article/pii/S2405844022030250Chinese stock marketExchange rateCrude oilVine-Copula-CoVaRMultivariate GARCH |
| spellingShingle | Hongjun Zeng Abdullahi D. Ahmed Ran Lu Ningjing Dai Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks Heliyon Chinese stock market Exchange rate Crude oil Vine-Copula-CoVaR Multivariate GARCH |
| title | Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks |
| title_full | Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks |
| title_fullStr | Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks |
| title_full_unstemmed | Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks |
| title_short | Dependence and spillover among oil market, China's stock market and exchange rate: new evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks |
| title_sort | dependence and spillover among oil market china s stock market and exchange rate new evidence from the vine copula covar and var bekk garch frameworks |
| topic | Chinese stock market Exchange rate Crude oil Vine-Copula-CoVaR Multivariate GARCH |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022030250 |
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