Mapping Economic Policy Uncertainty and Stock Market Research through Bibliometric Informatics: Evidence from Scopus

This study employs bibliometric informatics tools (VOSviewer and CiteSpace) to map the intellectual landscape of research on economic policy uncertainty (EPU) and stock markets.By analyzing 546 publications from the Scopus database, we identify influential authors, institutions, journals, and research themes, providing service science perspectives for researchers and policymakers to better understand knowledge flows and decision-support mechanisms in financial informatics.Results reveal significant geographical concentration in China (37.64% of publications) and methodological evolution from basic EPU measurement to complex behavioral finance integration.Baker et al.'s EPU measurement framework remains the foundational work, while emerging themes include COVID-19 impacts, high-frequency data analysis, and informatics-driven prediction models.The analysis identifies critical research gaps in cross-cultural policy transmission mechanisms and real-time uncertainty measurement, providing a theoretical foundation for future investigations in financial informatics and economic policy uncertainty modeling.