Modeling multivariate time series with copulas: Implications for pricing revenue insurance (2023)
Source: Revista Brasileira de Economia. Unidade: ESALQ
Subjects: ADMINISTRAÇÃO DE RISCO, ANÁLISE DE SÉRIES TEMPORAIS, MODELOS (ANÁLISE MULTIVARIADA), PREÇO AGRÍCOLA, SEGURO AGRÍCOLA, SOJA
ABNT
DUARTE, Gislaine Vieira e OZAKI, Vitor Augusto. Modeling multivariate time series with copulas: Implications for pricing revenue insurance. Revista Brasileira de Economia, v. 77, p. 1-25, 2023Tradução . . Disponível em: https://doi.org/10.5935/0034-7140.20230010. Acesso em: 06 nov. 2024.APA
Duarte, G. V., & Ozaki, V. A. (2023). Modeling multivariate time series with copulas: Implications for pricing revenue insurance. Revista Brasileira de Economia, 77, 1-25. doi:10.5935/0034-7140.20230010NLM
Duarte GV, Ozaki VA. Modeling multivariate time series with copulas: Implications for pricing revenue insurance [Internet]. Revista Brasileira de Economia. 2023 ; 77 1-25.[citado 2024 nov. 06 ] Available from: https://doi.org/10.5935/0034-7140.20230010Vancouver
Duarte GV, Ozaki VA. Modeling multivariate time series with copulas: Implications for pricing revenue insurance [Internet]. Revista Brasileira de Economia. 2023 ; 77 1-25.[citado 2024 nov. 06 ] Available from: https://doi.org/10.5935/0034-7140.20230010