Artificial intelligence and credit risk: the use of alternative data and methods in internal credit rating
Auteur :
Locatelli, Rossella / Pepe, Giovanni / Salis, Fabio
Éditeur :
Springer International Publishing AG
ISBN :
9783031102356
Date de publication :
14 sept. 2022
Dimensions :
21,0 x 14,8 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating models.