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A case study for unlocking the potential of deep learning in asset-liability-management
The extensive application of deep learning in the field of quantitative risk management is still a relatively recent phenomenon. This article presents the key notions of Deep Asset-Liability-Management (“Deep ALM”) for a technological transformation in the management of assets and liabilities along...
Autores principales: | Krabichler, Thomas, Teichmann, Josef |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239836/ https://www.ncbi.nlm.nih.gov/pubmed/37284585 http://dx.doi.org/10.3389/frai.2023.1177702 |
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