Forecasting exchange rate: A bibliometric and content analysis
Tipo
Artigo
Data de publicação
2023
Periódico
International Review of Economics and Finance
Citações (Scopus)
5
Autores
de Souza Vasconcelos C.
Hadad Junior E.
Hadad Junior E.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
© 2022 Elsevier Inc.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.