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International review of financial analysis: A retrospective evaluation between 1992 and 2020

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  • Baker, H. Kent
  • Kumar, Satish
  • Goyal, Kirti
  • Sharma, Anuj

Abstract

We provide a comprehensive analysis of the International Review of Financial Analysis (IRFA) between 1992 and 2020 using bibliometrics, regression analysis, and structural topic modeling (STM). Using bibliometric analysis, we find that IRFA's publications and their citations have grown considerably over the years. IRFA also experienced substantial growth in its authors' collaboration network. U.K. and U.S. authors are the journal's most frequent contributors. We use regression analysis to identify article age, a special issue, lead article, European author affiliation, title length and novelty, and the number of authors, figures, keywords, and references as critical predictors of IRFA's citations. Finally, using STM, we find that IRFA's conceptual structure reflects 12 major topics with corporate ownership and governance, and stock market volatility and spillover as the most prominent. The study contributes to the editorial board and other IRFA stakeholders as well as scholars alike. Awareness of IRFA's trends can be pivotal in understanding the patterns in the overall finance domain.

Suggested Citation

  • Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:finana:v:78:y:2021:i:c:s1057521921002672
    DOI: 10.1016/j.irfa.2021.101946
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    5. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    6. Pattnaik, Debidutta & Kumar, Satish & Burton, Bruce & Lim, Weng Marc, 2022. "Economic Modelling at thirty-five: A retrospective bibliometric survey," Economic Modelling, Elsevier, vol. 107(C).
    7. Adeabah, David & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2023. "How far have we come and where should we go after 30+ years of research on Africa's emerging financial markets? A systematic review and a bibliometric network analysis," Emerging Markets Review, Elsevier, vol. 55(C).
    8. Mukherjee, Debmalya & Kumar, Satish & Mukherjee, Deepraj & Goyal, Kirti, 2022. "Mapping five decades of international business and management research on India: A bibliometric analysis and future directions," Journal of Business Research, Elsevier, vol. 145(C), pages 864-891.
    9. Xianfei Hui & Baiqing Sun & Indranil SenGupta & Yan Zhou & Hui Jiang, 2022. "Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning," Papers 2204.02891, arXiv.org, revised Jan 2023.
    10. H. Kent Baker & Satish Kumar & Kirti Goyal & Prashant Gupta, 2023. "International journal of finance and economics: A bibliometric overview," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 9-46, January.
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