Mapping The Web Of Knowledge: A Bibliometric Analysis Of Stock Markets Interlinkage

Abstract

The current study aims to provide an overview of existing research on stock market interlinkage and recommend further research directions. The study performed a bibliometric analysis of 1537 Scopus-indexed papers published since 2000 using biblioshiny under the bibliometrix R package. It describes the status of publications, publication trend, the top productive contributor, the leading influential contributor, the most frequently used keywords, important themes, research collaboration network, co-citation network, and scope of future research. Overall, this analysis contributes to a better understanding of the linkage between stock markets and provides insights for policymakers, managers, analysts, investors, and researchers in this field. More research needs to be conducted to investigate the connections between various financial markets, including the stock, bond, commodity, and currency markets, using statistical models with machine learning algorithms to understand better how financial market interlinkage can affect diversification opportunities and risk management strategies