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A New Explorative Model to Assess the Financial Credit Risk Assessment

Authors:
Eric Mantelaers
Martijn Zoet

Keywords: Financial Credit Risk Assessment; Business Failure Prediction; Credit Risk Features; DMN Requirements Diagrams (DRD).

Abstract:
Within recent years, Financial Credit Risk Assessment (FCRA) has become an increasingly important issue within the financial industry. Therefore, the search for features that can predict the credit risk of an organization has increased. Using multiple statistical techniques, a variance of features has been proposed. Applying a structured literature review, 238 papers have been selected. From the selected papers, 700 features have been identified. The features have been analyzed with respect to the type of feature, the information sources needed and the type of organization that applies the features. Based on the results of the analysis, the features have been plotted in the FCRA Model. The results show that most features focus on hard information from a transactional source, based on official information with a high latency. The main contribution of this paper is the FCRA Model combined with the plotted results, indicating multiple questions for further research.

Pages: 101 to 106

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-620-0

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018