{"title":"Volatility regimes and jumps in crude oil futures: Uncovering how market shocks trigger extreme comovements","authors":"Haoyu Shi, Xu Zheng, Yuansheng Wang","doi":"10.1016/j.econmod.2026.107532","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates how intraday market shocks shape extreme co-movements in crude oil futures, addressing the limited understanding of tail dependence across trading sessions. Existing studies document volatility spillovers across crude oil markets but largely overlook the role of market microstructure and intraday dynamics. Using synchronized 15-minute high-frequency data for INE, Brent, and WTI futures, we examine how price jumps, continuous volatility, and concurrent volatility regimes affect tail dependence. Our results show that daytime tail dependence is mainly driven by regional cojumps while nighttime tail dependence is amplified by continuous volatility under strong global market integration. We further find that concurrent high-volatility states significantly increase downside comovements across markets. These findings highlight how microstructure factors influence extreme risks in different periods and provide guidance for investors designing hedging strategies and for policymakers monitoring market stability under stress.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107532"},"PeriodicalIF":4.7000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999326000611","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates how intraday market shocks shape extreme co-movements in crude oil futures, addressing the limited understanding of tail dependence across trading sessions. Existing studies document volatility spillovers across crude oil markets but largely overlook the role of market microstructure and intraday dynamics. Using synchronized 15-minute high-frequency data for INE, Brent, and WTI futures, we examine how price jumps, continuous volatility, and concurrent volatility regimes affect tail dependence. Our results show that daytime tail dependence is mainly driven by regional cojumps while nighttime tail dependence is amplified by continuous volatility under strong global market integration. We further find that concurrent high-volatility states significantly increase downside comovements across markets. These findings highlight how microstructure factors influence extreme risks in different periods and provide guidance for investors designing hedging strategies and for policymakers monitoring market stability under stress.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.