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Artificial Intelligence and Credit Risk: The Use of Alternative Data and Methods in Internal Credit Rating Rossella Locatelli 1st ed. 2022 edition
Artificial Intelligence and Credit Risk: The Use of Alternative Data and Methods in Internal Credit Rating
Rossella Locatelli
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.
104 pages, 15 Illustrations, color; 6 Illustrations, black and white; XVII, 104 p. 21 illus., 15 ill
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2022. gada 14. septembris |
| ISBN13 | 9783031102356 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 104 |
| Izmēri | 220 × 155 × 14 mm · 298 g |
| Valoda | Angļu |
Ziemassvētku dāvanas var atgriezt līdz 31. janvārim