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- Title
Decision tree applied in classifying the occurrence of cyber claims in banking sector companies.
- Authors
Nogueira Azevedo, Alana Katielli
- Abstract
The study aimed to predict cyber claims in companies in the banking sector using a decision tree. To this end, 683 cases of cyber losses were extracted from an operational risk database. The independent variables considered in the modeling were the region of domicile, the size of the company and, as main explanatory variable, revenue. The classification reached 89% of global hits. The modeling in question guarantees a good classification quality and better fit when compared to traditional GLM modeling. The results of this work are useful and can act in an innovative way as a tool to support the decision making of insurers, aiming at useful responses to the management of cyber risks.
- Subjects
BANKING industry; DECISION trees; DECISION making; BUSINESS size; OPERATIONAL risk; INSURANCE companies; ACT Assessment
- Publication
Contextus: Revista Contemporanea de Economia e Gestao, 2023, Vol 21, p1
- ISSN
1678-2089
- Publication type
Article
- DOI
10.19094/contextus.2023.e83423