Opportunities for research in Machine Learning in Finance and Accounting
Research Seminar by Dr. Mohapatra Partha
Date: 10 March 2025 11:40-12:40
Location: Corvinus University of Budapest, building E, Institute of Finance – Room E.279.1.
This presentation explores the transformative role of machine learning (ML) within the domains of finance and accounting, underscoring its potential to enhance predictive accuracy, decision-making, and operational efficiency in key financial processes. Machine learning, a subset of artificial intelligence, has demonstrated significant promise in identifying patterns within vast datasets, enabling applications such as credit risk assessment, fraud detection, and regulatory compliance. This presentation synthesizes current research and real-world applications where ML algorithms have been successfully implemented to detect anomalies, red-flag potential misstatements, and strengthen forensic audit techniques. By leveraging iterative learning and pattern recognition, machine learning is not only refining traditional financial practices but also paving the way for a future of data-driven finance. The presentation provides a critical analysis of recent advancements, challenges, and the implications of adopting ML in finance and accounting, aiming to stimulate scholarly discussion on the potential for applications of machine learning in finance and accounting research. In the last part of the presentation, Prof Mohapatra will show the use of no-Code low code software to research using basic machine learning models.
Please note that this Microsoft Teams link is only in case you are unable to join the seminar at the Corvinus University of Budapest. However, the meeting will be generally held offline.