Overconfidence and the 2D:4D ratio (2020)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; SILVA, THIAGO CHRISTIANO - FFCLRP
- Unidades: ICMC; FFCLRP
- DOI: 10.1016/j.jbef.2020.100278
- Subjects: TESTOSTERONA; TOMADA DE DECISÃO; COMPORTAMENTO
- Keywords: 2D:4D; Digit ratio; Prenatal testosterone; Decision making; Overconfidence
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Behavioral and Experimental Finance
- ISSN: 2214-6350
- Volume/Número/Paginação/Ano: v. 25, p. 1-10, Mar. 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, Eduardo Borges da et al. Overconfidence and the 2D:4D ratio. Journal of Behavioral and Experimental Finance, v. 25, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jbef.2020.100278. Acesso em: 28 set. 2024. -
APA
Silva, E. B. da, Silva, T. C., Constantino, M., Amancio, D. R., & Tabak, B. M. (2020). Overconfidence and the 2D:4D ratio. Journal of Behavioral and Experimental Finance, 25, 1-10. doi:10.1016/j.jbef.2020.100278 -
NLM
Silva EB da, Silva TC, Constantino M, Amancio DR, Tabak BM. Overconfidence and the 2D:4D ratio [Internet]. Journal of Behavioral and Experimental Finance. 2020 ; 25 1-10.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.jbef.2020.100278 -
Vancouver
Silva EB da, Silva TC, Constantino M, Amancio DR, Tabak BM. Overconfidence and the 2D:4D ratio [Internet]. Journal of Behavioral and Experimental Finance. 2020 ; 25 1-10.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.jbef.2020.100278 - Financial literacy and the perceived value of stress testing: an experiment using students in Brazil
- Comparing the impact of subfields in scientific journals
- Machine learning in complex networks: modeling, analysis, and applications
- Traffic campaigns and overconfidence: an experimental approach
- Internet access in recessionary periods: the case of Brazil
- Fiscal risk and financial fragility
- Comparing the topological properties of real and artificially generated scientific manuscripts
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Authorship recognition via fluctuation analysis of network topology and word intermittency
Informações sobre o DOI: 10.1016/j.jbef.2020.100278 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
2986693.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas