How can lenders prosper? : comparing machine learning approaches to identify profitable peer-to-peer loan investments
Trevor Fitzpatrick, Christophe Mues
| Year of publication: |
2021
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|---|---|
| Authors: | Fitzpatrick, Trevor ; Mues, Christophe |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 294.2021, 2 (16.10.), p. 711-722
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| Subject: | Credit scoring | Ensemble learning | Investment analysis | P2P Lending | Predictive modelling | Kreditwürdigkeit | Credit rating | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Kreditgeschäft | Bank lending | Finanzanalyse | Financial analysis | Kreditrisiko | Credit risk |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2021.01.047 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012595900