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Abena Owusu
Assistant Professor, Accounting and Finance, Feliciano School of Business
- Office:
- School of Business 361
- Email:
- owusua@montclair.edu
- Degrees:
- BS, Kwame Nkrumah University of Science and Technology
- MS, Rensselaer Polytechnic Institute
- PhD, Rensselaer Polytechnic Institute
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Bio
Dr. Abena Owusu holds a PhD in Finance from the Lally School of Management at Rensselaer Polytechnic Institute (RPI). Before joining RPI, she got her BS in Actuarial Science with a minor in Statistics from Kwame Nkrumah University of Science and Technology in Ghana. Her primary research interests are in financial institutions, risk governance, big data and application of machine learning in Finance.
Expertise
Corporate Governance
Risk Management
Big Data Analytics
Machine Learning in Finance
Research
- Adding Stress in Banking: Transparency Disclosures and Corporate Risk Culture
- How Do Firms Respond to ESG News
- Pension Fund Portfolio Allocations in GASB 67/68 Era
Professional Experience
- Teaching Assistant, Rensselaer Polytechnic Institute (2016 - 2020)
- Assistant Professor of Finance, Montclair State University (2020 - Present)
Honors & Awards
- Spring 2014 GARP Research Fellowship, Global Association of Risk Professionals (May 2014)
- Masters’ Scholars Research Program Award, Lally School of Management, Rensselaer Polytechnic Institute (August 2013)
- Best Paper Award, 17th Finance, Risk and Accounting Perspectives (FRAP) Conference (September 2019)
Refereed Published Articles
- A. Owusu, A. Gupta (2023). Identifying the risk culture of banks using machine learning. International Journal of Managerial Finance
- A. Gupta, A. Owusu, J. Wang (2023). Assessing U.S. insurance firms' climate change impact and response. The Geneva Papers on Risk and Insurance
- A. Gupta, A. Owusu, L. Zou (2021). Identifying board of director network influence for firm characteristics. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- S. Bhattacharya, A. Gupta, K. Kar, A. Owusu (2020). Risk management of renewable power producers from co-dependencies in cash flows. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH