{"title":"Internal and external risk spillovers in energy and metal markets: the role of economic policy uncertainties","authors":"Xinran Li , Sheng Cheng , Ruibin Liang , Tao Tang","doi":"10.1016/j.eap.2025.07.034","DOIUrl":null,"url":null,"abstract":"<div><div>Economic policy uncertainty has intensified volatility in energy markets and facilitated the spread of cross-market risks. Notably, metals play an indispensable role as a critical underpinning of clean energy technologies throughout the energy transition process. Given this, we employ the time-varying parameter vector autoregressive (TVP-VAR) connectedness decomposition method to calculate spillover effects within and across the fossil energy, clean energy, and energy metal markets (the FCM system). On this basis, we apply the wavelet coherence model to examine the lead-lag relationship of monetary policy uncertainty (MPU), trade policy uncertainty (TPU) and fiscal policy uncertainty (FPU) on spillovers. Finally, we develop portfolio strategies for the FCM system under different uncertainty regimes. Our main findings are as follows. First, internal (within-market) and external (cross-market) spillover effects accounted for 29.37 % and 23.42 % respectively. Renewable energy developers and operators emerge as the largest net transmitter, while cobalt is the largest net receiver. Additionally, spillovers exhibit significant time-varying characteristics and heightened sensitivity during crisis periods. Second, MPU, TPU and FPU amplify or dampen both internal and external risk spillovers, particularly in the medium to long term, with the clean energy market bing more sensitive to these uncertainties. Third, investors should overweight assets linked to renewable-energy developers and operators and dynamically adjust holdings of energy metals such as cobalt, copper, and aluminum in response to policy uncertainty conditions to achieve optimal risk diversification. Our findings provide insights for countries to improve institutional mechanisms and policy measures for the low-carbon energy transition.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"87 ","pages":"Pages 1742-1762"},"PeriodicalIF":8.7000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Analysis and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S031359262500308X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Economic policy uncertainty has intensified volatility in energy markets and facilitated the spread of cross-market risks. Notably, metals play an indispensable role as a critical underpinning of clean energy technologies throughout the energy transition process. Given this, we employ the time-varying parameter vector autoregressive (TVP-VAR) connectedness decomposition method to calculate spillover effects within and across the fossil energy, clean energy, and energy metal markets (the FCM system). On this basis, we apply the wavelet coherence model to examine the lead-lag relationship of monetary policy uncertainty (MPU), trade policy uncertainty (TPU) and fiscal policy uncertainty (FPU) on spillovers. Finally, we develop portfolio strategies for the FCM system under different uncertainty regimes. Our main findings are as follows. First, internal (within-market) and external (cross-market) spillover effects accounted for 29.37 % and 23.42 % respectively. Renewable energy developers and operators emerge as the largest net transmitter, while cobalt is the largest net receiver. Additionally, spillovers exhibit significant time-varying characteristics and heightened sensitivity during crisis periods. Second, MPU, TPU and FPU amplify or dampen both internal and external risk spillovers, particularly in the medium to long term, with the clean energy market bing more sensitive to these uncertainties. Third, investors should overweight assets linked to renewable-energy developers and operators and dynamically adjust holdings of energy metals such as cobalt, copper, and aluminum in response to policy uncertainty conditions to achieve optimal risk diversification. Our findings provide insights for countries to improve institutional mechanisms and policy measures for the low-carbon energy transition.
期刊介绍:
Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.