Knowledge Management System of Institutes of Science and Development ,CAS
Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach | |
Sun, Xiaolei; Liu, Chang; Wang, Jun; Li, Jianping | |
发表期刊 | INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS |
摘要 | Maritime market relies on demand of international commodity trade from producers to consumers. Focusing on measuring the inherent correlation, this paper employs a GARCH-Copula-CoVaR approach to address the debate on the extreme risk spillovers from commodity market to maritime market. Our results provide new evidence regarding risk transmission from oil and ex-energy sector to the maritime markets, as well as the interactions between different sub-sectors of maritime market. It is also found that commodity markets exert different spillover effects on global and Chinese domestic maritime markets. In additional, the risk spillovers in oil-freight index pairs after global financial crisis is different from the before. Results enrich the knowledge of risk spillovers between commodity and maritime market, which help stakeholders improve portfolio optimization. |
2020 | |
卷号 | 68期号:3页码:101453 |
DOI | 10.1016/j.irfa.2020.101453 |
收录类别 | SSCI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.casisd.cn/handle/190111/9791 |
专题 | 中国科学院科技战略咨询研究院 |
推荐引用方式 GB/T 7714 | Sun, Xiaolei,Liu, Chang,Wang, Jun,et al. Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach[J]. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS,2020,68(3):101453. |
APA | Sun, Xiaolei,Liu, Chang,Wang, Jun,&Li, Jianping.(2020).Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach.INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS,68(3),101453. |
MLA | Sun, Xiaolei,et al."Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach".INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS 68.3(2020):101453. |
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2020 IRFA-Assessing (3245KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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