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Slice Finder: Application to Stress Testing
The project aims to use state-of-the-art machine learning techniques to perform model validation. In particular, the intern will validate outcomes from risk assessment models for loan portfolios. The results will be employed to further the efficiency of ATB’s internal stress testing models. The benefit for ATB financial will be the possibility to detect subsamples for which model fit might be poor, which will yield insights and, hopefully, improvement to stress testing.
Faculty Supervisor:
Valentina Galvani;Sebastian Fossati Pereira
Student:
Reginald Acquah
Partner:
ATB Financial
Discipline:
Economics
Sector:
Finance, insurance and business
University:
University of Alberta
Program:
Accelerate
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