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Filtros : "NEGOCIAÇÃO" "2024" Removido: "EMPRESAS" Limpar

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  • Artigo de periodico

    The determinants of debt renegotiation: evidence from Brazil (2024)

    Eça, João Paulo Augusto ; Albanez, Tatiana ; Schiozer, Rafael Felipe; Valle, Mauricio Ribeiro do

    Source: The Quarterly Review of Economics and Finance. Unidades: FEA, FEARP

    Subjects: NEGOCIAÇÃO, DÍVIDA, CONTABILIDADE DE EMPRESAS, GERENCIAMENTO DE RESULTADOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      EÇA, João Paulo Augusto et al. The determinants of debt renegotiation: evidence from Brazil. The Quarterly Review of Economics and Finance, v. 95, n. Ju 2024, p. 244-255, 2024Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S1062976924000553. Acesso em: 19 nov. 2024.

    • APA

      Eça, J. P. A., Albanez, T., Schiozer, R. F., & Valle, M. R. do. (2024). The determinants of debt renegotiation: evidence from Brazil. The Quarterly Review of Economics and Finance, 95( Ju 2024), 244-255. doi:10.1016/j.qref.2024.04.002

    • NLM

      Eça JPA, Albanez T, Schiozer RF, Valle MR do. The determinants of debt renegotiation: evidence from Brazil [Internet]. The Quarterly Review of Economics and Finance. 2024 ; 95( Ju 2024): 244-255.[citado 2024 nov. 19 ] Available from: https://www.sciencedirect.com/science/article/pii/S1062976924000553

    • Vancouver

      Eça JPA, Albanez T, Schiozer RF, Valle MR do. The determinants of debt renegotiation: evidence from Brazil [Internet]. The Quarterly Review of Economics and Finance. 2024 ; 95( Ju 2024): 244-255.[citado 2024 nov. 19 ] Available from: https://www.sciencedirect.com/science/article/pii/S1062976924000553

  • Tese (Doutorado)

    Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing (2024)

    Felizardo, Leonardo Kanashiro ; Del Moral Hernandez, Emilio (Orientador) ; Brandimarte, Paolo (coorient)

    Unidade: EP

    Subjects: PESQUISA OPERACIONAL, SISTEMAS AUTÔNOMOS, NEGOCIAÇÃO, SISTEMAS MULTIAGENTES

    Acesso à fonteHow to cite
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    • ABNT

      FELIZARDO, Leonardo Kanashiro. Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing. 2024. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.php. Acesso em: 19 nov. 2024.

    • APA

      Felizardo, L. K. (2024). Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.php

    • NLM

      Felizardo LK. Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing [Internet]. 2024 ;[citado 2024 nov. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.php

    • Vancouver

      Felizardo LK. Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing [Internet]. 2024 ;[citado 2024 nov. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.php
  • 1

1 - 2 (2 records)

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