Statistical Methods of Credit Risk Analysis

2020 ◽  
pp. 351-381
Author(s):  
Terence M. Yhip ◽  
Bijan M. D. Alagheband
Keyword(s):  
Risk Analysis ◽  
Credit Risk ◽  
Statistical Methods ◽  
Credit Risk Analysis

scholarly journals An Analytic Hierarchy Model for Classification Algorithms Selection in Credit Risk Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Gang Kou ◽  
Wenshuai Wu
Keyword(s):  
Risk Analysis ◽  
Credit Risk ◽  
Multicriteria Decision Making ◽  
Performance Criteria ◽  
Classification Algorithms ◽  
Efficient Tool ◽  
Analytic Hierarchy ◽  
Hierarchy Model ◽  
Three Stages ◽  
Credit Risk Analysis

This paper proposes an analytic hierarchy model (AHM) to evaluate classification algorithms for credit risk analysis. The proposed AHM consists of three stages: data mining stage, multicriteria decision making stage, and secondary mining stage. For verification, 2 public-domain credit datasets, 10 classification algorithms, and 10 performance criteria are used to test the proposed AHM in the experimental study. The results demonstrate that the proposed AHM is an efficient tool to select classification algorithms in credit risk analysis, especially when different evaluation algorithms generate conflicting results.

Bank Credit Risk Analysis and Bank Credit Rating

2020 ◽  
pp. 275-348
Author(s):  
Terence M. Yhip ◽  
Bijan M. D. Alagheband
Keyword(s):  
Risk Analysis ◽  
Credit Risk ◽  
Credit Rating ◽  
Bank Credit ◽  
Credit Risk Analysis

scholarly journals A Credit Risk Analysis Approach Using the Fleuriet Model

2018 ◽  
Vol 12 (3) ◽  
pp. 341-363
Author(s):  
José Willer do Prado ◽  
Francisval de Melo Carvalho ◽  
Gideon Carvalho de Benedicto ◽  
Valderí de Castro Alcântara ◽  
Antonio Carlos dos Santos
Keyword(s):  
Risk Analysis ◽  
Credit Risk ◽  
Analysis Approach ◽  
Credit Risk Analysis
Sign in / Sign up

Export Citation Format

Share Document