{"title":"跨危机的时变波动溢出效应建模:来自主要大宗商品期货和美国股市的证据","authors":"Shietal Ramesh , Rand Kwong Yew Low , Robert Faff","doi":"10.1016/j.eneco.2025.108225","DOIUrl":null,"url":null,"abstract":"<div><div>Effective risk management requires discernment of volatility interaction patterns across assets. Our study examines the level of interconnectedness amongst nine major commodity futures across precious metals, energy, industrial and agricultural sectors and the US S&P 500 index from 1990 to 2022. Spillover indices are constructed by combining the Time-Varying Parameter (TVP)-Vector Autoregression (VAR)-Stochastic Volatility (SV) model with the DY- spillover index. We analyse the fluctuating dynamics of the extent and directionality of the volatility transmissions across various crises. Our results indicate that SPX is the largest net transmitter of volatility information, predominantly affecting crude oil, heating oil, and gold futures, with spillovers intensifying during crises. Gold futures receive heightened volatility transmissions during crises, alluding to the “flight to quality” characteristic displayed by investors. The COVID-19 crisis and the consequent supply chain disruptions uniquely heightened volatility transmissions from lumber to natural gas futures, unseen in previous economic crises. We posit that natural gas futures could be a viable asset for risk diversification as they show limited interaction with SPX and minimal within-sector transmissions with crude and heating oil futures. We substantiate our findings on potential hedge assets by constructing dynamic portfolio weights based on minimising pairwise volatility interactions between assets in the portfolio.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"143 ","pages":"Article 108225"},"PeriodicalIF":14.2000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling time-varying volatility spillovers across crises: Evidence from major commodity futures and the US stock market\",\"authors\":\"Shietal Ramesh , Rand Kwong Yew Low , Robert Faff\",\"doi\":\"10.1016/j.eneco.2025.108225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Effective risk management requires discernment of volatility interaction patterns across assets. Our study examines the level of interconnectedness amongst nine major commodity futures across precious metals, energy, industrial and agricultural sectors and the US S&P 500 index from 1990 to 2022. Spillover indices are constructed by combining the Time-Varying Parameter (TVP)-Vector Autoregression (VAR)-Stochastic Volatility (SV) model with the DY- spillover index. We analyse the fluctuating dynamics of the extent and directionality of the volatility transmissions across various crises. Our results indicate that SPX is the largest net transmitter of volatility information, predominantly affecting crude oil, heating oil, and gold futures, with spillovers intensifying during crises. Gold futures receive heightened volatility transmissions during crises, alluding to the “flight to quality” characteristic displayed by investors. The COVID-19 crisis and the consequent supply chain disruptions uniquely heightened volatility transmissions from lumber to natural gas futures, unseen in previous economic crises. We posit that natural gas futures could be a viable asset for risk diversification as they show limited interaction with SPX and minimal within-sector transmissions with crude and heating oil futures. We substantiate our findings on potential hedge assets by constructing dynamic portfolio weights based on minimising pairwise volatility interactions between assets in the portfolio.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"143 \",\"pages\":\"Article 108225\"},\"PeriodicalIF\":14.2000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0140988325000489\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325000489","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Modelling time-varying volatility spillovers across crises: Evidence from major commodity futures and the US stock market
Effective risk management requires discernment of volatility interaction patterns across assets. Our study examines the level of interconnectedness amongst nine major commodity futures across precious metals, energy, industrial and agricultural sectors and the US S&P 500 index from 1990 to 2022. Spillover indices are constructed by combining the Time-Varying Parameter (TVP)-Vector Autoregression (VAR)-Stochastic Volatility (SV) model with the DY- spillover index. We analyse the fluctuating dynamics of the extent and directionality of the volatility transmissions across various crises. Our results indicate that SPX is the largest net transmitter of volatility information, predominantly affecting crude oil, heating oil, and gold futures, with spillovers intensifying during crises. Gold futures receive heightened volatility transmissions during crises, alluding to the “flight to quality” characteristic displayed by investors. The COVID-19 crisis and the consequent supply chain disruptions uniquely heightened volatility transmissions from lumber to natural gas futures, unseen in previous economic crises. We posit that natural gas futures could be a viable asset for risk diversification as they show limited interaction with SPX and minimal within-sector transmissions with crude and heating oil futures. We substantiate our findings on potential hedge assets by constructing dynamic portfolio weights based on minimising pairwise volatility interactions between assets in the portfolio.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.