{"title":"Uncertainty, macroeconomic activity and commodity price: A global analysis","authors":"Yifan Shen , Jia He , Xunpeng Shi , Ting Zeng","doi":"10.1016/j.irfa.2025.103962","DOIUrl":null,"url":null,"abstract":"<div><div>We adopt a rich global dataset to extend the conventional forecast-error-based uncertainty measure to the international context and construct a proxy of global macroeconomic uncertainty. Our proxy displays significant independent variations from popular regional or country-specific uncertainty measures, and can serve as an alternative to the global economic policy uncertainty (EPU) index among others when one needs to identify uncertainty shocks at the aggregate global level. We revisit the dynamic effects of uncertainty shocks on macroeconomic variables in a global perspective, and provide two applications of our global uncertainty proxy by linking it to the price formation mechanism of oil and by identifying international uncertainty spillover effects. We show that the well-documented relation between uncertainty and real activities is not only a regional or country-specific issue, but also a global phenomenon. Global macroeconomic uncertainty, which works as aggregate demand shocks, also plays a key role in determining oil prices, as well as driving business cycle fluctuations in a particular economy.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"101 ","pages":"Article 103962"},"PeriodicalIF":7.5000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925000493","RegionNum":1,"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
We adopt a rich global dataset to extend the conventional forecast-error-based uncertainty measure to the international context and construct a proxy of global macroeconomic uncertainty. Our proxy displays significant independent variations from popular regional or country-specific uncertainty measures, and can serve as an alternative to the global economic policy uncertainty (EPU) index among others when one needs to identify uncertainty shocks at the aggregate global level. We revisit the dynamic effects of uncertainty shocks on macroeconomic variables in a global perspective, and provide two applications of our global uncertainty proxy by linking it to the price formation mechanism of oil and by identifying international uncertainty spillover effects. We show that the well-documented relation between uncertainty and real activities is not only a regional or country-specific issue, but also a global phenomenon. Global macroeconomic uncertainty, which works as aggregate demand shocks, also plays a key role in determining oil prices, as well as driving business cycle fluctuations in a particular economy.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.