Performance and Network Analysis of Research in Stock Market Anomalies
Sumayya Chulliyil Valappil, Thodiyil Mohamed Nishad
Abstract:
The objective of this study is to present quantitative statistics and a comprehensive review of the key influential and intellectual structure of anomalies in the stock market. The study examines 111 papers that were published in scholarly journals between 1989 and 2022, and are indexed in the Scopus database. This research applied bibliometric methods of citation analysis, co-occurrence analysis, co-authorship and bibliographic coupling of authors and countries. As far as the authors are aware, this is the first article to discuss the bibliometric literature of stock market anomalies. This research aids in the exploration and construction of a quantitative base for the scientific advancement of stock market anomalies by academics and other researchers.
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