Yuanyuan Zhang , Stephen Chan , Nicholas Lord , Jeffrey Chu , Hanfang Yang , Durga Chandrashekhar , Xin Liao , Qin Li
{"title":"加密货币市场的网络转型:区域冲突的影响","authors":"Yuanyuan Zhang , Stephen Chan , Nicholas Lord , Jeffrey Chu , Hanfang Yang , Durga Chandrashekhar , Xin Liao , Qin Li","doi":"10.1016/j.physa.2025.131013","DOIUrl":null,"url":null,"abstract":"<div><div>This paper analyses the evolution of the cryptocurrency market network structure during two recent military conflicts: the first year of the 2022 Russia–Ukraine war and the first six months of the 2023 Israel–Hamas war, compared with pre-war periods. Analysing data covering the two periods of 1st January 2020 to 31st December 2022 (Russia–Ukraine), and 1st September 2022 to 29th February 2024 (Israel–Hamas), our findings reveal that before both wars officially began, the cryptocurrency network exhibited high interconnectedness, possibly due to investors anticipating conflict and shifting investments into cryptocurrencies. After the conflicts started, the network became significantly disconnected, with the Russia–Ukraine war showing a “small world” effect, where larger cryptocurrencies remained interconnected, while smaller cryptocurrencies became disconnected. In contrast, during the Israel–Hamas conflict, larger cryptocurrencies became more disconnected, driving overall network disconnectivity. Further analysis using the TVP-SV-VAR model showed that macroeconomic variables such as geopolitical risk, the U.S. Dollar Index, oil volatility and gold returns, as well as the Google Trend Index had a significant impact on the network’s structure, with varying effects across conflicts. Geopolitical risk exerted a stronger positive influence on centrality measures during the Israel–Hamas conflict, the Dollar index had a sharp negative effect on centrality following the Russia–Ukraine war, and oil volatility consistently enhanced network centrality and density in both conflicts. Gold returns shifted from having a negative to a positive effect on network connectivity, especially boosting intermediary roles during the Israel Hamas conflict, and the Google Trend Index consistently increased network centrality, highlighting the impact of rising market attention and sentiment. These results are crucial for understanding how military conflicts and economic factors impact cryptocurrency networks, providing valuable insights for academics, investors, policymakers, and legal authorities on market efficiency, risk management, and the potential use of blockchain-based assets in evading sanctions and facilitating cybercrime. As both conflicts are ongoing, future research should focus on analysing extended war periods and the influence of regulatory actions, sanctions, and cryptocurrency-specific events.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"680 ","pages":"Article 131013"},"PeriodicalIF":3.1000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network transitions in the cryptocurrency market: The impact of regional conflicts\",\"authors\":\"Yuanyuan Zhang , Stephen Chan , Nicholas Lord , Jeffrey Chu , Hanfang Yang , Durga Chandrashekhar , Xin Liao , Qin Li\",\"doi\":\"10.1016/j.physa.2025.131013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper analyses the evolution of the cryptocurrency market network structure during two recent military conflicts: the first year of the 2022 Russia–Ukraine war and the first six months of the 2023 Israel–Hamas war, compared with pre-war periods. Analysing data covering the two periods of 1st January 2020 to 31st December 2022 (Russia–Ukraine), and 1st September 2022 to 29th February 2024 (Israel–Hamas), our findings reveal that before both wars officially began, the cryptocurrency network exhibited high interconnectedness, possibly due to investors anticipating conflict and shifting investments into cryptocurrencies. After the conflicts started, the network became significantly disconnected, with the Russia–Ukraine war showing a “small world” effect, where larger cryptocurrencies remained interconnected, while smaller cryptocurrencies became disconnected. In contrast, during the Israel–Hamas conflict, larger cryptocurrencies became more disconnected, driving overall network disconnectivity. Further analysis using the TVP-SV-VAR model showed that macroeconomic variables such as geopolitical risk, the U.S. Dollar Index, oil volatility and gold returns, as well as the Google Trend Index had a significant impact on the network’s structure, with varying effects across conflicts. Geopolitical risk exerted a stronger positive influence on centrality measures during the Israel–Hamas conflict, the Dollar index had a sharp negative effect on centrality following the Russia–Ukraine war, and oil volatility consistently enhanced network centrality and density in both conflicts. Gold returns shifted from having a negative to a positive effect on network connectivity, especially boosting intermediary roles during the Israel Hamas conflict, and the Google Trend Index consistently increased network centrality, highlighting the impact of rising market attention and sentiment. These results are crucial for understanding how military conflicts and economic factors impact cryptocurrency networks, providing valuable insights for academics, investors, policymakers, and legal authorities on market efficiency, risk management, and the potential use of blockchain-based assets in evading sanctions and facilitating cybercrime. As both conflicts are ongoing, future research should focus on analysing extended war periods and the influence of regulatory actions, sanctions, and cryptocurrency-specific events.</div></div>\",\"PeriodicalId\":20152,\"journal\":{\"name\":\"Physica A: Statistical Mechanics and its Applications\",\"volume\":\"680 \",\"pages\":\"Article 131013\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-09-30\",\"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/S037843712500665X\",\"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/S037843712500665X","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}
Network transitions in the cryptocurrency market: The impact of regional conflicts
This paper analyses the evolution of the cryptocurrency market network structure during two recent military conflicts: the first year of the 2022 Russia–Ukraine war and the first six months of the 2023 Israel–Hamas war, compared with pre-war periods. Analysing data covering the two periods of 1st January 2020 to 31st December 2022 (Russia–Ukraine), and 1st September 2022 to 29th February 2024 (Israel–Hamas), our findings reveal that before both wars officially began, the cryptocurrency network exhibited high interconnectedness, possibly due to investors anticipating conflict and shifting investments into cryptocurrencies. After the conflicts started, the network became significantly disconnected, with the Russia–Ukraine war showing a “small world” effect, where larger cryptocurrencies remained interconnected, while smaller cryptocurrencies became disconnected. In contrast, during the Israel–Hamas conflict, larger cryptocurrencies became more disconnected, driving overall network disconnectivity. Further analysis using the TVP-SV-VAR model showed that macroeconomic variables such as geopolitical risk, the U.S. Dollar Index, oil volatility and gold returns, as well as the Google Trend Index had a significant impact on the network’s structure, with varying effects across conflicts. Geopolitical risk exerted a stronger positive influence on centrality measures during the Israel–Hamas conflict, the Dollar index had a sharp negative effect on centrality following the Russia–Ukraine war, and oil volatility consistently enhanced network centrality and density in both conflicts. Gold returns shifted from having a negative to a positive effect on network connectivity, especially boosting intermediary roles during the Israel Hamas conflict, and the Google Trend Index consistently increased network centrality, highlighting the impact of rising market attention and sentiment. These results are crucial for understanding how military conflicts and economic factors impact cryptocurrency networks, providing valuable insights for academics, investors, policymakers, and legal authorities on market efficiency, risk management, and the potential use of blockchain-based assets in evading sanctions and facilitating cybercrime. As both conflicts are ongoing, future research should focus on analysing extended war periods and the influence of regulatory actions, sanctions, and cryptocurrency-specific events.
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.