Using artificial intelligence to identify strategic mortgage default attitudes
| Year of publication: |
2022
|
|---|---|
| Authors: | Anderson, Jackson T. ; Freybote, Julia ; Lucus, David ; Seiler, Michael J. ; Simon, Lauren |
| Published in: |
Journal of real estate research : JRER ; a publication of the American Real Estate Society. - London [u.a.] : Taylor & Francis, ISSN 2691-1175, ZDB-ID 2037318-1. - Vol. 44.2022, 3, p. 429-445
|
| Subject: | artificial intelligence | borrower characteristics | emotion recognition | Residential mortgages | strategic default | Hypothek | Mortgage | Künstliche Intelligenz | Artificial intelligence | Insolvenz | Insolvency | Kreditrisiko | Credit risk | Emotion |
-
Liu, Zilong, (2024)
-
Impact of mortgage soft information in loan pricing on default prediction using machine learning
Luong, Thi Mai, (2023)
-
Machine learning explainability in finance : an application to default risk analysis
Bracke, Philippe, (2019)
- More ...
-
iBuyer's use of PropTech to make large-scale cash offers
Anderson, Jackson T., (2024)
-
Anderson, Jackson T., (2023)
-
Using asymmetric dominance to resolve toxic debt : combining online and field experiments
Anderson, Jackson T., (2021)
- More ...