Given loan default prediction has such a large impact on earnings, it is one of the most
influential factor on credit score that banks and other financial organisations face. There …

With the improving banking sector in recent times and the increasing trend of taking loans, a
large population applies for bank loans. But one of the major problem banking sectors face …

Este artículo tuvo como objetivo analizar la probabilidad de riesgo crediticio comercial de
650 empresas ecuatorianas del sector alimenticio, mediante un análisis estadístico de tipo …

Lending by big technology companies (BigTechs) is an important new financial innovation in
the digital era. This paper attempts to evaluate robustness and special features of BigTech's …

Bank loan default is one of the vital issues that may affect the banking sector. To avoid such
an issue, the bank needs to analyze huge data, so machine learning (ML) is used to help in …

Accepted: 26 September 2021 In banking sector credit score plays a very important factor. It
is important to find which customer is valid and which is not valid for loan. Now to classify …

In thons for credit scoring in Vietnam with machine learning models based on our
submissions for the Kalapa Credit Score Challenge. We conduct experiments with modern …

The study evaluated the implementation of credit risk management at Bank PQR based on
the Basel Principles regarding Management of Credit Risk due to increasing Low-Quality …

Automating loan approval system is essential in today's banking system. Even with the shift
to online platforms, the traditional method is still cumbersome and needs a lot of customer …

The implementation of recent technological advancements in banking sector will simplify the
loan approval process. It is a well-known fact that the banks benefit more from loans …