Relationship between investor sentiment and stock returns: a bibliometric analysis using SCOPUS database
by Ajit Yadav; Anindita Chakraborty
Global Business and Economics Review (GBER), Vol. 28, No. 1, 2023

Abstract: This paper provides a comprehensive bibliometric analysis of the literature on the relationship between investor sentiment and stock returns. It identifies the key authors, publications, journals, publication countries, and reoccurring keywords using VOSviewer. It analyses 983 publications (procured through the SCOPUS database) using four bibliometric techniques: co-citation analysis, citation analysis, co-occurrence analysis, and bibliographic coupling. The results of the co-citation analysis of references and author reveal that 'Investor sentiment and the cross-section of stock returns' by Baker and Wurgler (2006) is the most cited article, and M. Baker is the top-cited author. The bibliographic coupling of sources suggests that Finance Research Letters leads in publications, co-occurrence analysis of author keywords reveals that behavioural finance, asset pricing, and volatility are the most occurring keywords. Further, the citation analysis of countries shows that the USA leads in terms of the number of publications, substantially growing globally since 2000.

Online publication date: Thu, 08-Dec-2022

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