{"title":"Energy price uncertainty and sectoral tail risk: Evidence from quantile-on-quantile connectedness","authors":"Boqiang Lin , Tianxu Lan","doi":"10.1016/j.jcomm.2025.100512","DOIUrl":null,"url":null,"abstract":"<div><div>As the Chinese market increasingly becomes dependent on uncertainties in coal and oil prices, this paper examines the implications for financial markets and the transmission of tail risk across various industries. Employing a generalized quantile connectedness network model, we analyze the impact of coal price uncertainty (CPU) and international oil price uncertainty (OPU) on the volatility of Chinese sectoral stock markets during the period from 2016 to 2025. The study yields the following key conclusions: (1) In the context of “directly related” tail states, systemic risk spillover is most pronounced; (2) The net risk spillover from CPU and OPU primarily occurs under conditions of “high uncertainty + high market pressure,” demonstrating a significant complementary mechanism among the energy market, financial market, and industrial sector; (3) In periods of heightened volatility, CPU and OPU emerge as critical nodes within a highly interconnected network; (4) When faced with supply-side external shocks, the risk spillover effects associated with energy price uncertainty are notably amplified. Based on these findings, this paper proposes targeted policy recommendations.</div></div>","PeriodicalId":45111,"journal":{"name":"Journal of Commodity Markets","volume":"40 ","pages":"Article 100512"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Commodity Markets","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S240585132500056X","RegionNum":4,"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
As the Chinese market increasingly becomes dependent on uncertainties in coal and oil prices, this paper examines the implications for financial markets and the transmission of tail risk across various industries. Employing a generalized quantile connectedness network model, we analyze the impact of coal price uncertainty (CPU) and international oil price uncertainty (OPU) on the volatility of Chinese sectoral stock markets during the period from 2016 to 2025. The study yields the following key conclusions: (1) In the context of “directly related” tail states, systemic risk spillover is most pronounced; (2) The net risk spillover from CPU and OPU primarily occurs under conditions of “high uncertainty + high market pressure,” demonstrating a significant complementary mechanism among the energy market, financial market, and industrial sector; (3) In periods of heightened volatility, CPU and OPU emerge as critical nodes within a highly interconnected network; (4) When faced with supply-side external shocks, the risk spillover effects associated with energy price uncertainty are notably amplified. Based on these findings, this paper proposes targeted policy recommendations.
期刊介绍:
The purpose of the journal is also to stimulate international dialog among academics, industry participants, traders, investors, and policymakers with mutual interests in commodity markets. The mandate for the journal is to present ongoing work within commodity economics and finance. Topics can be related to financialization of commodity markets; pricing, hedging, and risk analysis of commodity derivatives; risk premia in commodity markets; real option analysis for commodity project investment and production; portfolio allocation including commodities; forecasting in commodity markets; corporate finance for commodity-exposed corporations; econometric/statistical analysis of commodity markets; organization of commodity markets; regulation of commodity markets; local and global commodity trading; and commodity supply chains. Commodity markets in this context are energy markets (including renewables), metal markets, mineral markets, agricultural markets, livestock and fish markets, markets for weather derivatives, emission markets, shipping markets, water, and related markets. This interdisciplinary and trans-disciplinary journal will cover all commodity markets and is thus relevant for a broad audience. Commodity markets are not only of academic interest but also highly relevant for many practitioners, including asset managers, industrial managers, investment bankers, risk managers, and also policymakers in governments, central banks, and supranational institutions.