Shivam Agarwal

School of Business

Lecturer
Assistant Professor

348
(01) 474 7594

Biography

Dr. Shivam Agarwal is an Assistant Professor at the Maynooth University, School of Business. His research is in areas of explainable AI, financial misconduct, mitigating financial fraud, exploring the relationship between organisational culture and risk in international banks. His methodological lenses include textual analysis and machine learning. 

He has published his research in the European Financial Management and Economics Letters. Shivam teaches Corporate Finance, Derivatives, Econometrics, Machine Learning and Risk Management. Across the undergraduate, executive and graduate levels, he has lectured and tutored in derivatives, machine learning, portfolio and risk management, financial economics modules at University College Dublin and the 2021 Machine Learning in Python workshop organized by UCD. 

Shivam holds bachelors' degree in Mathematics from St.Xavier's Mumbai and a masters degree in Quantitative Finance from Univesity College Dublin. He was awarded the Operational Risk scholarship to pursue his PhD in Finance at the business school at UCD in 2017. 

His administrative duties include the role of Program Director of the BA Finance and Quantitative Finance programmes at the School of Business, Maynooth University. 

Research Interests

Financial misconduct, mitigating financial fraud and exploring the relationship between organisational culture and risk in international banks.

Peer Reviewed Journal

Year Publication
2023 Agarwal S.; Muckley C.; Neelakantan P. (2023) 'Countering racial discrimination in algorithmic lending: A case for model-agnostic interpretation methods'. Economic Letters, . [Full-Text]
2022 Agarwal S.; B. Muckley C. (2022) 'Law enforcement spillover effects in the financial sector'. European Financial Management, . [DOI] [Full-Text]

Conference Contribution

Year Publication
2022 Agarwal S.; Mohamad F.; Muckley C. (2022) 28th Annual Conference of the Multinational Finance Society Bank culture and misconduct Poland, .
2022 Agarwal S.; Mohamad F.; Muckley C. (2022) Irish Academy of Finance Bank culture and misconduct Ireland, .
2022 Agarwal S.; Muckley C.; Neelakantan P. (2022) Irish Academy of Finance Uncovering Racial Discrimination in Algorithmic Lending: The case of Model-Agnostic Interpretation Methods Ireland, .
2021 Agarwal S.; Muckley C. (2021) European Financial Management Association Law Enforcement Spillover Effects Online, .
2021 Agarwal S.; Mohamad F.; Muckley C. (2021) IFABS 2021 Oxford Conference Bank culture and misconduct United Kingdom, .
Certain data included herein are derived from the © Web of Science (2023) of Clarivate. All rights reserved.

Employment

Employer Position From / To
Maynooth University Assistant Professor -

Teaching Interests

Corporate Finance, Fixed Income and Derivatives, Machine Learning, Text Analysis