Supply chain financial risk identification based on improved CVaR measurement model
Abstract Objective To solve the complex risk identification and nonlinear transmission path in supply chain finance, this study aims to construct a deep learning model that can accurately quantify and dynamically predict supply chain financial risks. Methods Firstly, the scenario optimization reduct...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-07-01
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| coleção: | Discover Computing |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s10791-026-10358-9 |
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