Learning forecast-efficient yield curve factor decompositions with neural networks (2022)
Kauffmann, Piero Conti; Takada, Hellinton Hatsuo 
; Terada, Ana Paula Takahashi; Stern, Julio Michael
Source: Econometrics. Unidade: IME
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, INFERÊNCIA BAYESIANA
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ABNT
KAUFFMANN, Piero Conti et al. Learning forecast-efficient yield curve factor decompositions with neural networks. Econometrics, v. 10, n. 2, p. 1-5, 2022Tradução . . Disponível em: https://doi.org/10.3390/econometrics10020015. Acesso em: 10 jan. 2026.APA
Kauffmann, P. C., Takada, H. H., Terada, A. P. T., & Stern, J. M. (2022). Learning forecast-efficient yield curve factor decompositions with neural networks. Econometrics, 10( 2), 1-5. doi:10.3390/econometrics10020015NLM
Kauffmann PC, Takada HH, Terada APT, Stern JM. Learning forecast-efficient yield curve factor decompositions with neural networks [Internet]. Econometrics. 2022 ; 10( 2): 1-5.[citado 2026 jan. 10 ] Available from: https://doi.org/10.3390/econometrics10020015Vancouver
Kauffmann PC, Takada HH, Terada APT, Stern JM. Learning forecast-efficient yield curve factor decompositions with neural networks [Internet]. Econometrics. 2022 ; 10( 2): 1-5.[citado 2026 jan. 10 ] Available from: https://doi.org/10.3390/econometrics10020015
