The effect of customer segmentation, borrower behaviors and analytical methods on the performance of credit scoring models in the agribusiness sector
Daniela Lazo, Raffaella Calabrese and Cristián Bravo
| Year of publication: |
2020
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|---|---|
| Authors: | Lazo, Daniela ; Calabrese, Raffaella ; Bravo, Cristián |
| Published in: |
The journal of credit risk : published quarterly by Incisive Media. - London : Infopro Digital, ISSN 1744-6619, ZDB-ID 2170422-3. - Vol. 16.2020, 4, p. 119-156
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| Subject: | agribusiness finance | credit scoring | repayment behavior | random forests | logistic regression | Kreditwürdigkeit | Credit rating | Agroindustrie | Agro-industry | Agrarkredit | Agricultural credit | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.21314/JCR.2020.272 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012494774