{"title":"分析清洁和肮脏的加密货币与能源市场之间的相互联系","authors":"Xiaoguang Zhou, Xueyao Guo, Yanan Chen","doi":"10.1016/j.physa.2025.130769","DOIUrl":null,"url":null,"abstract":"<div><div>With the increasing global attention to environmental sustainability, the application of clean energy and the energy efficiency of the cryptocurrency market have become increasingly important. This paper uses weekly data from March 2018 to July 2024 on the clean cryptocurrency market, dirty cryptocurrency market, and the energy market. It applies an autoencoder for dimensionality reduction of five clean cryptocurrency markets and four dirty cryptocurrency markets to calculate the corresponding indices. Subsequently, an R-vine copula model is constructed to analyze the structural relationships and correlations among the three markets. The study then constructs a vector autoregressive (VAR) model and conducts Granger causality tests and Diebold & Yilmaz variance decomposition to analyze the risk spillovers between the markets. The results indicate that solar energy plays a central role in the energy sector, bridging the gap between clean and dirty energy. Ethereum (ETH), through its blockchain technology and decentralized applications, has become an important link connecting the energy market, clean cryptocurrency market, and dirty cryptocurrency market. Furthermore, there exists a significant asymmetry in risk spillovers between the cryptocurrency market and the energy market, with both short-term and long-term spillovers showing similar asymmetries. Coal, wind energy, and solar energy act as risk receivers, while cryptocurrencies, crude oil, and natural gas primarily contribute to risk. Investors should focus on oil and cryptocurrency markets, less affected by others, while regulators should implement tailored strategies for solar and wind energy markets, which react more strongly to external risks, to prevent volatility.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130769"},"PeriodicalIF":2.8000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing the interconnections between clean and dirty cryptocurrency and energy markets\",\"authors\":\"Xiaoguang Zhou, Xueyao Guo, Yanan Chen\",\"doi\":\"10.1016/j.physa.2025.130769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the increasing global attention to environmental sustainability, the application of clean energy and the energy efficiency of the cryptocurrency market have become increasingly important. This paper uses weekly data from March 2018 to July 2024 on the clean cryptocurrency market, dirty cryptocurrency market, and the energy market. It applies an autoencoder for dimensionality reduction of five clean cryptocurrency markets and four dirty cryptocurrency markets to calculate the corresponding indices. Subsequently, an R-vine copula model is constructed to analyze the structural relationships and correlations among the three markets. The study then constructs a vector autoregressive (VAR) model and conducts Granger causality tests and Diebold & Yilmaz variance decomposition to analyze the risk spillovers between the markets. The results indicate that solar energy plays a central role in the energy sector, bridging the gap between clean and dirty energy. Ethereum (ETH), through its blockchain technology and decentralized applications, has become an important link connecting the energy market, clean cryptocurrency market, and dirty cryptocurrency market. Furthermore, there exists a significant asymmetry in risk spillovers between the cryptocurrency market and the energy market, with both short-term and long-term spillovers showing similar asymmetries. Coal, wind energy, and solar energy act as risk receivers, while cryptocurrencies, crude oil, and natural gas primarily contribute to risk. Investors should focus on oil and cryptocurrency markets, less affected by others, while regulators should implement tailored strategies for solar and wind energy markets, which react more strongly to external risks, to prevent volatility.</div></div>\",\"PeriodicalId\":20152,\"journal\":{\"name\":\"Physica A: Statistical Mechanics and its Applications\",\"volume\":\"674 \",\"pages\":\"Article 130769\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica A: Statistical Mechanics and its Applications\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378437125004212\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125004212","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Analyzing the interconnections between clean and dirty cryptocurrency and energy markets
With the increasing global attention to environmental sustainability, the application of clean energy and the energy efficiency of the cryptocurrency market have become increasingly important. This paper uses weekly data from March 2018 to July 2024 on the clean cryptocurrency market, dirty cryptocurrency market, and the energy market. It applies an autoencoder for dimensionality reduction of five clean cryptocurrency markets and four dirty cryptocurrency markets to calculate the corresponding indices. Subsequently, an R-vine copula model is constructed to analyze the structural relationships and correlations among the three markets. The study then constructs a vector autoregressive (VAR) model and conducts Granger causality tests and Diebold & Yilmaz variance decomposition to analyze the risk spillovers between the markets. The results indicate that solar energy plays a central role in the energy sector, bridging the gap between clean and dirty energy. Ethereum (ETH), through its blockchain technology and decentralized applications, has become an important link connecting the energy market, clean cryptocurrency market, and dirty cryptocurrency market. Furthermore, there exists a significant asymmetry in risk spillovers between the cryptocurrency market and the energy market, with both short-term and long-term spillovers showing similar asymmetries. Coal, wind energy, and solar energy act as risk receivers, while cryptocurrencies, crude oil, and natural gas primarily contribute to risk. Investors should focus on oil and cryptocurrency markets, less affected by others, while regulators should implement tailored strategies for solar and wind energy markets, which react more strongly to external risks, to prevent volatility.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.