Research Pattern and Productivityin Behavioral Finance Literature:Insights From BibliometricAnalysis Using R

Abstract

The use of bibliometric analysis in behavioral finance is relatively new, and techniques such as performance analysis and scientific mapping analysis have simplified the statistical examination of research articles across areas. This article reviews global research patterns in behavioral finance to provide a scientific basis for the study of behavioral aspects of finance. This article investigates the fundamental characteristics of scientific production in the domain and identifies various interrelationships using bibliometric mapping through R. This study employed Biblioshiny as a software tool to conduct performance analysis and scientific mapping of behavioral finance literature. The findings indicate that there has been a significant increase in publications in the last decade; 92.3% of researchers contributed a single article, 6% contributed two articles, 1.5% contributed three documents and 0.1% contributed four papers. Regarding the overall production of articles, India, USA and China were the leading countries. The Journal of Behavioral Finance is found to be the leading journal in the discipline of behavioral finance. The findings also reveal that there has been a significant increase in collaborations and average production of documents throughout the world. The article also addresses implications for financial behavior and can act as a basis for future research trends.