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Abstract

Purpose: The main Objective of the study is to identify the trends of stock market volatility based on previous research from 2012 to 2022 by performing a bibliometric analysis. Theoretical framework: The study aims to identify the key authors, countries, institutions, and top-cited journals in the specific area. The study reveals a considerable increase in the number of publications on stock market volatility which depicts the growing interest of the researcher to study and explore more new trends in this area Design/methodology/approach: A bibliometric assessment of 457 papers on the stock market from 2012 to 2022 was undertaken using Scopus. Bibliometrix's R-based online application Biblioshiny was used for this study. The program automatically identified notable publications, models, authors, countries, keywords, and article topics. We have also explored co-citations and thematic mapping in the same area. Findings: The result identifies the most effective models to measure the volatility in the stock market, the publications, authors, affiliations, and ruling nations in the same area. The statistics suggested an upward trend in publications from the period of 2012 to 2022. The result will be used for the investors who are interested to research in the same area. Research, Practical & Social implications: The researcher suggests a future research agenda and highlights the contributions which will help scholars, practitioners, and policymakers who want to work with stock market volatility. Originality/value: The findings show the significant researchers, co-authors, co-citations, and collaboration trends. This will show how stock market volatility specialists collaborate to find new patterns. Interconnected markets may cause volatility in many countries. Cross-country studies on how shocks influence other markets and how they rely on each other may dominate stock market volatility bibliometric study in the future.