TY - JOUR
T1 - Desarrollo de una aplicación para el cálculo del riesgo de crédito en entidades del sector solidario colombiano
AU - Arias-Serna, María Andrea
AU - Luna-Moreno, Eilin Paola
AU - Hoyos-Barrios, Jaime Humberto
AU - Echeverri-Arias, Jaime Alberto
N1 - Publisher Copyright:
© 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
PY - 2022
Y1 - 2022
N2 - This paper presents analysis, design and implementation of the application called “Credit Risk Calculator” which quantifies the credit risk according to the requirements proposed in the new regulations recently issued by the Superintendence of the Colombian Solidarity Economy. For the implementation of this application, the Model View Controller (MVC) design pattern or architecture is used. This pattern facilitates the separation of the Model and the View, improves the separation of data and presentation, speeds up error handling, and gives the possibility of add multiple data representations. The developed application allows to systematically obtain the risk rating of each debtor and the expected losses that the entities of the solidarity sector could face in case of default by their debtors. It is expected that this application will be a tool to facilitate financial risk management in the corresponding entities.
AB - This paper presents analysis, design and implementation of the application called “Credit Risk Calculator” which quantifies the credit risk according to the requirements proposed in the new regulations recently issued by the Superintendence of the Colombian Solidarity Economy. For the implementation of this application, the Model View Controller (MVC) design pattern or architecture is used. This pattern facilitates the separation of the Model and the View, improves the separation of data and presentation, speeds up error handling, and gives the possibility of add multiple data representations. The developed application allows to systematically obtain the risk rating of each debtor and the expected losses that the entities of the solidarity sector could face in case of default by their debtors. It is expected that this application will be a tool to facilitate financial risk management in the corresponding entities.
KW - Credit risk
KW - Expected loss
KW - Probability of default
KW - Python
KW - Software engineering
UR - http://www.scopus.com/inward/record.url?scp=85143643583&partnerID=8YFLogxK
M3 - Artículo
AN - SCOPUS:85143643583
SN - 1646-9895
VL - 2022
SP - 174
EP - 188
JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
IS - E52
ER -