The brazilian scientific production in the field of finance

Authors

  • João Guilherme Magalhães-Timotio CEPEAD - Centro de Pós-Graduação e Pesquisas em Administração - FACE/UFMG. http://orcid.org/0000-0001-9622-935X
  • Francisco Vidal Barbosa CEPEAD - Centro de Pós-Graduação e Pesquisas em Administração - FACE/UFMG.

DOI:

https://doi.org/10.5007/2175-8077.2020.e67279

Abstract

A triple objective was assumed in this paper: (i) to identify the most influential aspects of Brazilian scientific production in the field of Finance; (ii) identify the main research streams followed by Brazilian researchers; (iii) propose some questions for future work. It was based on a qualitative and quantitative approach, using methods: "bibliometric analysis", "text mining operations based on machine learning" and "systematic literature review". The results show 2,197 articles in our bibliographic portfolio, between 1977 and 2018, distributed in 406 journals. The Brazilian researchers that relate in some way are inserted in 20 clusters, and are influenced, above all, by the Modern Theory of Finance. Three main research streams were identified: “Macro-Finance”, “Behavioral Finance” and “Capital Markets”. Issues related to “Financial Literacy” and “Capital Market News Effects” have been proposed as emerging themes for future research.

Author Biographies

João Guilherme Magalhães-Timotio, CEPEAD - Centro de Pós-Graduação e Pesquisas em Administração - FACE/UFMG.

Doutorando em Administração no CEPEAD - Centro de Pós-Graduação e Pesquisas em Administração - FACE/UFMG.

Francisco Vidal Barbosa, CEPEAD - Centro de Pós-Graduação e Pesquisas em Administração - FACE/UFMG.

É professor titular da Universidade Federal de Minas Gerais e professor visitante da University of Applied Sciences Schmalkalden - Alemanha desde 2002. Pós-doutorado em Gestão de empresas de base tecnológica - setor de biotecnologia pela Harvard University em Cambridge - EUA (2001/2002), doutorado em Competitividade Empresarial - Aston University em Birmingham - Reino Unido (1996), mestrado em Administração pela Universidade Federal de Minas Gerais (1984). Possui graduação em Engenharia Mecânica pela Universidade Federal Fluminense (1977), graduação em Administração pela Universidade Federal de Minas Gerais (1983).

References

ARELLANO, Manuel; BOND, Stephen. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, v. 58, n. 2, p. 277–297, 1991.

ARIA, Massimo; CUCCURULLO, Corrado. bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, v. 11, n. 4, p. 959–975, 2017.

BLUNDELL, Richard; BOND, Stephen. Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, v. 87, n. 1, p. 115–143, 1998.

BOLLERSLEV, Tim. Generalized autoregressive conditional heteroskedasticity. Journal of econometrics, v. 31, n. 3, p. 307–327, 1986.

BRADFORD, S C. Documentation. London: Crosby Lockwood. . [S.l.]: Washington, Public Affairs Press. , 1953

BRINER, Rob B; DENYER, David. Systematic review and evidence synthesis as a practice and scholarship tool. Handbook of evidence-based management: Companies, classrooms and research, p. 112–129, 2012.

CHAKRABARTI, Soumen. Mining the Web: Discovering knowledge from hypertext data. [S.l.]: Elsevier, 2002.

CHEN, Ye-Sho; CHONG, P Pete; TONG, Morgan Y. The Simon-Yule approach to bibliometric modeling. Information Processing & Management, v. 30, n. 4, p. 535–556, 1994.

CHOWDHURY, Gobinda G. Natural language processing. Annual review of information science and technology, v. 37, n. 1, p. 51–89, 2003.

DE MENDONCA, Helder. Towards credibility from inflation targeting: the Brazilian experience. applied Economics, v. 39, n. 20, p. 2599–2615, 2007.

DE SOUZA, Flávia Cruz et al. Finance Journals: características dos principais periódicos, autores importantes e artigos mais citados. Revista Brasileira de Finanças, v. 6, n. 1, p. 113–132, 2008.

DE SOUZA, Flávia Cruz; BORBA, José Alonso. CARACTERÍSTICAS CURRICULARES DOS DOUTORADOS EM FINANÇAS BRASILEIROS E NORTE-AMERICANOS: REQUISITOS DE ENTRADA/SAÍDA E DISCIPLINAS OFERTADAS. Administração: Ensino e Pesquisa, v. 11, n. 2, p. 217–243, 2010.

DE SOUZA, Flávia Cruz; MURCIA, Fernando Dal-Ri; BORBA, José Alonso. Doutorados em Finanças no Brasil e nos Estados Unidos: Percepções do Corpo Docente Relativas à Ensino e Pesquisa na Área. Revista de Administração da UNIMEP, v. 8, n. 3, p. 161–183, 2010.

DELEN, Dursun; CROSSLAND, Martin D. Seeding the survey and analysis of research literature with text mining. Expert Systems with Applications, v. 34, n. 3, p. 1707–1720, 2008.

DICKEY, David A; FULLER, Wayne A. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, v. 74, n. 366a, p. 427–431, 1979.

ELANGO, B; RAJENDRAN, P. Authorship trends and collaboration pattern in the marine sciences literature: a scientometric study. 2012.

FAMA, Eugene F; FRENCH, Kenneth R. Common risk factors in the returns on stocks and bonds. Journal of financial economics, v. 33, n. 1, p. 3–56, 1993.

FAYYAD, Usama; PIATETSKY-SHAPIRO, Gregory; SMYTH, Padhraic. From data mining to knowledge discovery in databases. AI magazine, v. 17, n. 3, p. 37, 1996.

GALATI, Francesco; BIGLIARDI, Barbara. Industry 4.0: Emerging themes and future research avenues using a text mining approach. Computers in Industry, v. 109, p. 100–113, 2019.

GALDI, Fernando Caio; GONÇALVES, ARTHUR. Pessimismo e incerteza das notícias eo comportamento dos investidores no Brasil. Revista de Administração de Empresas, v. 58, n. 2, p. 130-148, 2018.

GITMAN, Lawrence J; JUCHAU, Roger; FLANAGAN, Jack. Principles of managerial finance. [S.l.]: Pearson Higher Education AU, 2015.

HANSEN, Lars Peter. Large sample properties of generalized method of moments estimators. Econometrica: Journal of the Econometric Society, p. 1029–1054, 1982.

HIGGINS, Julian P T; GREEN, Sally. Cochrane handbook for systematic reviews of interventions. [S.l.]: John Wiley & Sons, 2011. v. 4.

JENSEN, Michael C; MECKLING, William H. Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of financial economics, v. 3, n. 4, p. 305–360, 1976.

LOTKA, Alfred J. The frequency distribution of scientific productivity. Journal of the Washington academy of sciences, v. 16, n. 12, p. 317–323, 1926.

MARKOWITZ, Harry. Portfolio selection. The journal of finance, v. 7, n. 1, p. 77–91, 1952.

MINSKY, Hyman P. Stabilizing an unstable economy. 1986.

NEWMAN, Mark E J. Fast algorithm for detecting community structure in networks. Physical review E, v. 69, n. 6, p. 66133, 2004.

NEWMAN, Mark E J; GIRVAN, Michelle. Finding and evaluating community structure in networks. Physical review E, v. 69, n. 2, p. 26113, 2004.

PATI, Debajyoti; LORUSSO, Lesa N. How to write a systematic review of the literature. HERD: Health Environments Research & Design Journal, v. 11, n. 1, p. 15–30, 2018.

POTTER, William Gray. Lotka’s law revisited. 1981.

PRABOWO, Rudy; THELWALL, Mike. Sentiment analysis: A combined approach. Journal of Informetrics, v. 3, n. 2, p. 143–157, 2009.

ROUSSEAU, Denise M. The Oxford handbook of evidence-based management. [S.l.]: Oxford University Press, 2012.

SANTOS, Danilo Braun; DA SILVA, Wesley Mendes; GONZALEZ, Lauro. Deficit de alfabetização financeira induz ao uso de empréstimos em mercados informais. RAE-Revista de Administração de Empresas, v. 58, n. 1, p. 44-59, 2018.

SHILLER, Robert J. Finance and the good society. [S.l.]: Princeton University Press, 2013.

SHLEIFER, Andrei; VISHNY, Robert W. A survey of corporate governance. The journal of finance, v. 52, n. 2, p. 737–783, 1997.

SNYDER, Hannah. Literature review as a research methodology: An overview and guidelines. Journal of Business Research, v. 104, p. 333–339, 2019.

TAGUE-SUTCLIFFE, Jean. An introduction to informetrics. Information processing & management, v. 28, n. 1, p. 1–3, 1992.

VAN ECK, Nees Jan; WALTMAN, Ludo. Visualizing bibliometric networks. Measuring scholarly impact. [S.l.]: Springer, 2014. p. 285–320.

WEISS, Sholom M et al. Text mining: predictive methods for analyzing unstructured information. [S.l.]: Springer Science & Business Media, 2010.

WOOLDRIDGE, Jeffrey M. Applications of generalized method of moments estimation. Journal of Economic perspectives, v. 15, n. 4, p. 87–100, 2001.

ZIMAN, John M. Information, communication, knowledge. Nature, v. 224, n. 5217, p. 318, 1969.

Downloads

Published

2021-04-30

How to Cite

Magalhães-Timotio, J. G., & Barbosa, F. V. (2021). The brazilian scientific production in the field of finance. Journal of Administration Science, 22(58), 39–53. https://doi.org/10.5007/2175-8077.2020.e67279

Issue

Vol. 22 No. 58 (2020): Dezembro 2020

Section

Articles

License

The author transfers all copyright of the article to Revista Ciências da Administração, with any reproduction, total or partial, in any means of publication, printed or electronic, being prohibited, without the prior and necessary authorization being requested and, if obtained, will include the competent registration and thanks to the Magazine.


Licença Creative Commons
This work is licensed under a Creative Commons Atribuição-NãoComercial-SemDerivações 4.0 Internacional.

Most read articles by the same author(s)