{"title":"Stocks, currencies, and geopolitical shocks: Evidence from advanced and emerging markets","authors":"Georgios Bampinas , Ioannis Karfakis , Theodore Panagiotidis , Georgios Papapanagiotou","doi":"10.1016/j.econmod.2025.107454","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates how geopolitical risk shapes the relationship between stock and currency markets. We address the limited evidence on their joint dynamics under uncertainty. While prior literature shows that geopolitical risk affects individual financial markets, less is known about its role in the stock–currency interdependence across different economies. Using local Gaussian partial correlations and bootstrap inference for advanced and emerging economies, we analyze nonlinear and asymmetric dependence patterns. Our results show that in advanced economies, stock returns and currency changes are negatively linked, consistent with portfolio balance and flow-oriented theories, whereas emerging markets display positive dependence, reflecting capital flow and risk-based channels. Lead–lag effects reveal that exchange rates dominate in emerging markets, while advanced markets exhibit bidirectional interactions. Under elevated geopolitical risk, dependence strengthens and tail risks become more synchronized, particularly in emerging markets. These findings advance our understanding of cross-market transmission and inform policies on financial stability during geopolitical crises.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"156 ","pages":"Article 107454"},"PeriodicalIF":5.5000,"publicationDate":"2026-03-01","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/S0264999325004493","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates how geopolitical risk shapes the relationship between stock and currency markets. We address the limited evidence on their joint dynamics under uncertainty. While prior literature shows that geopolitical risk affects individual financial markets, less is known about its role in the stock–currency interdependence across different economies. Using local Gaussian partial correlations and bootstrap inference for advanced and emerging economies, we analyze nonlinear and asymmetric dependence patterns. Our results show that in advanced economies, stock returns and currency changes are negatively linked, consistent with portfolio balance and flow-oriented theories, whereas emerging markets display positive dependence, reflecting capital flow and risk-based channels. Lead–lag effects reveal that exchange rates dominate in emerging markets, while advanced markets exhibit bidirectional interactions. Under elevated geopolitical risk, dependence strengthens and tail risks become more synchronized, particularly in emerging markets. These findings advance our understanding of cross-market transmission and inform policies on financial stability during geopolitical crises.
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.