A Financial Literacy Simulation Model using Neural Networks: Case Study

This paper reports on the use of neural networks as a classification modelling tool for financial literacy. The financial literacy modelling problem under consideration attempts to measure the literacy of youth in Australian society with respect to the financial aspects of credit cards, loans, and superannuation. Neural Networks exhibited good results and capability for financial literacy modelling, and simulation represent an efficient approach through their learning and generalization abilities.