Honghan Bei , Qian Wang , Xiaoxiao Yan , Xinpeng Geng
{"title":"航运与大宗商品市场的多尺度极端风险溢出:基于GARCH-Copula-CoVaR的分析","authors":"Honghan Bei , Qian Wang , Xiaoxiao Yan , Xinpeng Geng","doi":"10.1016/j.eneco.2025.108564","DOIUrl":null,"url":null,"abstract":"<div><div>The acceleration of global trade has intensified the exchange of information across shipping and commodity markets. This study employs a GARCH-Copula-CoVaR framework to rigorously analyse the dependence and extreme risk spillover dynamics between key shipping market and both the aggregate commodity market as well as its sub-sectors, adopting a multi-scale analytical approach. Our empirical analysis identifies notable bidirectional risk spillovers between the shipping and commodity sectors, particularly during periods of market downturns. The energy sector exhibits heightened sensitivities to risk, while the precious metals market stands out for its capacity for risk mitigation. The study also integrates the impact of geopolitical risks, offering a multi-scale understanding of inter-market correlations. It quantifies the risk spillover effects and explores the underlying transmission mechanisms, thereby enhancing comprehension of the complex spillover phenomena linking shipping and commodity markets.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108564"},"PeriodicalIF":14.2000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiscale extreme risk spillover between shipping and commodity markets: An analysis based on GARCH-Copula-CoVaR\",\"authors\":\"Honghan Bei , Qian Wang , Xiaoxiao Yan , Xinpeng Geng\",\"doi\":\"10.1016/j.eneco.2025.108564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The acceleration of global trade has intensified the exchange of information across shipping and commodity markets. This study employs a GARCH-Copula-CoVaR framework to rigorously analyse the dependence and extreme risk spillover dynamics between key shipping market and both the aggregate commodity market as well as its sub-sectors, adopting a multi-scale analytical approach. Our empirical analysis identifies notable bidirectional risk spillovers between the shipping and commodity sectors, particularly during periods of market downturns. The energy sector exhibits heightened sensitivities to risk, while the precious metals market stands out for its capacity for risk mitigation. The study also integrates the impact of geopolitical risks, offering a multi-scale understanding of inter-market correlations. It quantifies the risk spillover effects and explores the underlying transmission mechanisms, thereby enhancing comprehension of the complex spillover phenomena linking shipping and commodity markets.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"148 \",\"pages\":\"Article 108564\"},\"PeriodicalIF\":14.2000,\"publicationDate\":\"2025-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0140988325003883\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325003883","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Multiscale extreme risk spillover between shipping and commodity markets: An analysis based on GARCH-Copula-CoVaR
The acceleration of global trade has intensified the exchange of information across shipping and commodity markets. This study employs a GARCH-Copula-CoVaR framework to rigorously analyse the dependence and extreme risk spillover dynamics between key shipping market and both the aggregate commodity market as well as its sub-sectors, adopting a multi-scale analytical approach. Our empirical analysis identifies notable bidirectional risk spillovers between the shipping and commodity sectors, particularly during periods of market downturns. The energy sector exhibits heightened sensitivities to risk, while the precious metals market stands out for its capacity for risk mitigation. The study also integrates the impact of geopolitical risks, offering a multi-scale understanding of inter-market correlations. It quantifies the risk spillover effects and explores the underlying transmission mechanisms, thereby enhancing comprehension of the complex spillover phenomena linking shipping and commodity markets.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.