Risk Assessment Approaches in Banking Sector –A Survey

Authors

Mona Sharaf, Faculty of Commerce and Business Administration, Future University in Egypt, EgyptFollow
shimaa mohamed ouf, BIS helwan universityFollow
Amira M. Idrees AMI, Future University in EgyptFollow

Abstract

Prediction analysis is a method that makes predictions based on the data currently available. Bank loans come with a lot of risks to both the bank and the borrowers. One of the most exciting and important areas of research is data mining, which aims to extract information from vast amounts of accumulated data sets. The loan process is one of the key processes for the banking industry, and this paper examines various prior studies that used data mining techniques to extract all served entities and attributes necessary for analytical purposes, categorize these attributes, and forecast the future of their business using historical data, using a model, banks' business, and strategic goals.

Recommended Citation

Sharaf, Mona; ouf, shimaa mohamed; and Idrees, Amira M. AMI (2023) "Risk Assessment Approaches in Banking Sector –A Survey," Future Computing and Informatics Journal: Vol. 8: Iss. 1, Article 3.
Available at: https://digitalcommons.aaru.edu.jo/fcij/vol8/iss1/3