MACHINE LEARNING IN FINANCIAL FORECASTING: A PARADIGM SHIFT FOR ACCOUNTANTS

Abstract

The financial landscape is undergoing a transformative phase with the integration of machine learning (ML) techniques into traditional forecasting practices. This review paper explores the evolving role of ML in financial forecasting and its profound impact on the field of accounting. As financial markets become increasingly complex and dynamic, accountants are compelled to seek innovative approaches to enhance their forecasting accuracy and decision-making processes.