{"title":"大宗商品交易商的系统性风险","authors":"Thorsten Glück , Zeno Adams","doi":"10.1016/j.jedc.2025.105166","DOIUrl":null,"url":null,"abstract":"<div><div>We examine the disruptions to global commodity flows following the default of a commodity trading firm. The physical commodity network is operated by a handful of large traders that are responsible for the timely delivery of raw materials and inputs to industrial production. We propose a model to simulate the resilience and response time of the network following a shock. Our results suggest that a number of commodity traders carry significant systemic risk. The forced removal of a trader from the network has considerable implications for the prices and availability of physical commodities over a period up to 12 months.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"179 ","pages":"Article 105166"},"PeriodicalIF":2.3000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systemic risk of commodity traders\",\"authors\":\"Thorsten Glück , Zeno Adams\",\"doi\":\"10.1016/j.jedc.2025.105166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We examine the disruptions to global commodity flows following the default of a commodity trading firm. The physical commodity network is operated by a handful of large traders that are responsible for the timely delivery of raw materials and inputs to industrial production. We propose a model to simulate the resilience and response time of the network following a shock. Our results suggest that a number of commodity traders carry significant systemic risk. The forced removal of a trader from the network has considerable implications for the prices and availability of physical commodities over a period up to 12 months.</div></div>\",\"PeriodicalId\":48314,\"journal\":{\"name\":\"Journal of Economic Dynamics & Control\",\"volume\":\"179 \",\"pages\":\"Article 105166\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic Dynamics & Control\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165188925001320\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Dynamics & Control","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165188925001320","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
We examine the disruptions to global commodity flows following the default of a commodity trading firm. The physical commodity network is operated by a handful of large traders that are responsible for the timely delivery of raw materials and inputs to industrial production. We propose a model to simulate the resilience and response time of the network following a shock. Our results suggest that a number of commodity traders carry significant systemic risk. The forced removal of a trader from the network has considerable implications for the prices and availability of physical commodities over a period up to 12 months.
期刊介绍:
The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.