Pre-delinquency models.

Times of economic stress (e.g., high inflation and interest rates) result in an increase in the frequency with which households fall behind with their loan payments. Loan delinquency in this project is when a borrower is behind with payments by more than 60 days. The project explores whether we can forecast loan delinquency early. An early delinquency signal could be used as an opportunity for the bank to initiate a conversation with borrowers, for example, by providing financial education in a timely fashion to those who might need it the most. The models would focus on clients that are not currently past due but may likely become loan delinquent soon. The models will employ account attributes from internal accounts. The model would support ATB’s proactive outreach program, with the aim of improving the path for clients headed toward loan delinquency.

Faculty Supervisor:

Valentina Galvani

Student:

Partner:

ATB Financial

Discipline:

Business

Sector:

Finance and Insurance

University:

University of Alberta

Program:

Accelerate

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