{"title":"重大市场危机中能源、农业、绿色债券和金融市场不确定性对碳市场的不对称波动溢出效应","authors":"Paravee Maneejuk, Wucaihong Huang, Woraphon Yamaka","doi":"10.1016/j.eneco.2025.108430","DOIUrl":null,"url":null,"abstract":"<div><div>While previous studies have established the influence of energy, agriculture, green bonds, and market uncertainty on carbon markets, little is known about their impacts under extreme market conditions. Addressing this gap, we investigate the downside and upside risk spillovers from these markets to European carbon markets by employing a Copula Quantile Regression model to measure the Conditional Value-at-Risk (CoVaR) and ΔCoVaR. Our findings reveal that risk spillovers are asymmetric, with downside spillovers significantly exceeding upside spillovers across all markets. Notably, the agriculture and energy sectors exhibit the most pronounced spillover effects, particularly during periods of heightened uncertainty such as Brexit, the COVID-19 pandemic, and the Russia-Ukraine war. These results provide the critical role of agriculture and energy in shaping carbon market dynamics under extreme conditions and provide valuable insights for portfolio managers and market participants aiming to enhance the resilience of carbon markets to systemic risks.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"145 ","pages":"Article 108430"},"PeriodicalIF":14.2000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymmetric volatility spillover effects from energy, agriculture, green bond, and financial market uncertainty on carbon market during major market crisis\",\"authors\":\"Paravee Maneejuk, Wucaihong Huang, Woraphon Yamaka\",\"doi\":\"10.1016/j.eneco.2025.108430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>While previous studies have established the influence of energy, agriculture, green bonds, and market uncertainty on carbon markets, little is known about their impacts under extreme market conditions. Addressing this gap, we investigate the downside and upside risk spillovers from these markets to European carbon markets by employing a Copula Quantile Regression model to measure the Conditional Value-at-Risk (CoVaR) and ΔCoVaR. Our findings reveal that risk spillovers are asymmetric, with downside spillovers significantly exceeding upside spillovers across all markets. Notably, the agriculture and energy sectors exhibit the most pronounced spillover effects, particularly during periods of heightened uncertainty such as Brexit, the COVID-19 pandemic, and the Russia-Ukraine war. These results provide the critical role of agriculture and energy in shaping carbon market dynamics under extreme conditions and provide valuable insights for portfolio managers and market participants aiming to enhance the resilience of carbon markets to systemic risks.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"145 \",\"pages\":\"Article 108430\"},\"PeriodicalIF\":14.2000,\"publicationDate\":\"2025-03-28\",\"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/S0140988325002543\",\"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/S0140988325002543","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Asymmetric volatility spillover effects from energy, agriculture, green bond, and financial market uncertainty on carbon market during major market crisis
While previous studies have established the influence of energy, agriculture, green bonds, and market uncertainty on carbon markets, little is known about their impacts under extreme market conditions. Addressing this gap, we investigate the downside and upside risk spillovers from these markets to European carbon markets by employing a Copula Quantile Regression model to measure the Conditional Value-at-Risk (CoVaR) and ΔCoVaR. Our findings reveal that risk spillovers are asymmetric, with downside spillovers significantly exceeding upside spillovers across all markets. Notably, the agriculture and energy sectors exhibit the most pronounced spillover effects, particularly during periods of heightened uncertainty such as Brexit, the COVID-19 pandemic, and the Russia-Ukraine war. These results provide the critical role of agriculture and energy in shaping carbon market dynamics under extreme conditions and provide valuable insights for portfolio managers and market participants aiming to enhance the resilience of carbon markets to systemic risks.
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.