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The objective of this work is the construction of a probability credit scoring model in order to minimize the risk of default on payment of the customer portfolio, for which dependent (customer good and bad) and independent(characteristic of customer) variables were used to provide a correct...
Persistent link: https://www.econbiz.de/10015338460
The objective of this work is the construction of a probability credit scoring model in order to minimize the risk of default on payment of the customer portfolio, for which dependent (customer good and bad) and independent(characteristic of customer) variables were used to provide a correct...
Persistent link: https://www.econbiz.de/10015372232
This article aims to identify the most relevant variables that allow through a neural network model (RNA), with supervised learning, in a kind of error correction and feedforward perceptron multilayer architecture to achieve the best predictors of low risk, in the process of microcredit....
Persistent link: https://www.econbiz.de/10009664397
This article aims to identify the most relevant variables that allow through a neural network model (RNA), with supervised learning, in a kind of error correction and feedforward perceptron multilayer architecture to achieve the best predictors of low risk, in the process of microcredit....
Persistent link: https://www.econbiz.de/10010290053
credit risk estimation of debtors whose behavior is unknown (because they are deleted from the databases without indication …
Persistent link: https://www.econbiz.de/10010325097
This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...
Persistent link: https://www.econbiz.de/10011995010
This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...
Persistent link: https://www.econbiz.de/10011867546
Following the Hotelling model of spatial competition used by Massoud and Bernhardt (2002) to analyze competition in ATM fees, in this paper we analyze the effects of banning fees on the usage of ATMs by account holders. We find that the prohibition also reduces the fees charged to non-account...
Persistent link: https://www.econbiz.de/10009348019
Persistent link: https://www.econbiz.de/10010221777
Persistent link: https://www.econbiz.de/10010229719