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Deep calibration of financial models: turning theory into practice
The calibration of financial models is laborious, time-consuming and expensive, and needs to be performed frequently by financial institutions. Recently, the application of artificial neural networks (ANNs) for model calibration has gained interest. This paper provides the first comprehensive empiri...
Autores principales: | Büchel, Patrick, Kratochwil, Michael, Nagl, Maximilian, Rösch, Daniel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367774/ http://dx.doi.org/10.1007/s11147-021-09183-7 |
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