{"title":"Dynamic connectedness of climate risks, oil shocks, and China’s energy futures market: Time-frequency evidence from Quantile-on-Quantile regression","authors":"Yinghua Ren , Nairong Wang , Huiming Zhu","doi":"10.1016/j.najef.2024.102263","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the dynamic risk nexus among climate risks, oil shocks and China’s energy futures market from a time–frequency-quantile perspective. We first explore the dynamic connectedness of “climate risks – oil shocks – energy futures” and examine the risk transmission channels through mediation effects model. The Quantile-on-Quantile regression is used to study the time–frequency impact of climate risks and oil shocks on energy futures across different market conditions and investment horizons. Our empirical results are as follows: First, climate transition risks, oil demand and risk shocks play mediating roles in risk transmission channels. Second, the impact of climate risks and oil shocks on energy futures is heterogeneous and asymmetric under extreme conditions. Notably, global warming, oil supply shock and international climate summits are the greatest shocks to China’s energy market. Finally, climate risks and oil shocks are more pronounced in the short term. Overall, these findings offer valuable insights for shaping risk management strategies and implementing effective hedging practices within the energy market.</p></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"75 ","pages":"Article 102263"},"PeriodicalIF":3.8000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"North American Journal of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062940824001888","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the dynamic risk nexus among climate risks, oil shocks and China’s energy futures market from a time–frequency-quantile perspective. We first explore the dynamic connectedness of “climate risks – oil shocks – energy futures” and examine the risk transmission channels through mediation effects model. The Quantile-on-Quantile regression is used to study the time–frequency impact of climate risks and oil shocks on energy futures across different market conditions and investment horizons. Our empirical results are as follows: First, climate transition risks, oil demand and risk shocks play mediating roles in risk transmission channels. Second, the impact of climate risks and oil shocks on energy futures is heterogeneous and asymmetric under extreme conditions. Notably, global warming, oil supply shock and international climate summits are the greatest shocks to China’s energy market. Finally, climate risks and oil shocks are more pronounced in the short term. Overall, these findings offer valuable insights for shaping risk management strategies and implementing effective hedging practices within the energy market.
期刊介绍:
The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.