Machine Learning in Investment and Credit Risk Modeling

Abstract

The financial sector has undergone many changes with the advancement of technology. Artificial intelligence algorithms are used to analyze large datasets and support making trades at high speed based on market patterns. Machine learning algorithms discover trends and patterns from data fed to examine creditworthiness more precisely than conventional methods.