Forecasting exchange rate: A bibliometric and content analysis

Camila de Souza Vasconcelos and Eli Hadad Júnior

International Review of Economics & Finance, 2023, vol. 83, issue C, 607-628

Abstract: The study aims to present a systematic overview of the research in the field of exchange rate projection models through bibliometric techniques and content analysis. First, 775 articles published in journals within the scope of the international Web of Science database from 1966 to May 2021 were analyzed through bibliometric techniques. Second, a selected sample of 69 articles was analyzed through a detail content analysis to identify hot topics and new avenues of interest in the field. The research findings suggest that the scientific production on the subject is in wide development. New approaches have been incorporated, such as neural networks, requiring a broad perspective by the researcher in the evaluation of the empirical results.

Keywords: Exchange rate; Models; Bibliometric review; Content analysis (search for similar items in EconPapers)
JEL-codes: F3 F31 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:83:y:2023:i:c:p:607-628

DOI: 10.1016/j.iref.2022.09.006

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