Royal Bank of Canada
SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE FOR DYNAMIC MARKET STRESS PLATFORM

Abstract:

Systems and methods for responsive stress testing that involve back-end machine learning models that produce enterprise market risk calculations and a front-end interface with graphical elements to visually interact with the machine learning models. The interface can load a particular model, specify ranges of each market variables (shock), and investigate how the market variables impact a portfolio based on the rendered graphical elements.