Brian Clark

Assistant Professor, Lally School of Management

Professor Clark's research focuses on financial intermediation and risk management with an emphasis on machine learning. He currently teaches several quantitative finance courses including Financial Computation and Simulation and Advanced AI/ML for Finance. Dr. Clark's work has been published in the Journal of Banking and Finance, Journal of Financial Stability, Quantitative Finance, and Operations Research Letters. He has been quoted in the U.S. News & World Report, the Times Union, and WalletHub.

Education
Ph.D. in Finance, Rensselaer Polytechnic Institute
MBA, Clarkson University
M.E. in Mechanical Engineering, Clarkson University
B.S. in Biomedical Engineering, Rensselaer Polytechnic Institute
Research Focus
  • Machine Learning
  • Banking
  • Operational Risk
  • Risk Management
  • Capital Structure
Contact Information
Select Works
  • 1. “Risk and Risk Management in the Credit Card Industry,” with Florentin Butaru, Qingqing Chen, Sanmay Das, Andrew Lo, and Akhtar Siddique, Journal of Banking and Finance, Dec. 2016. (https://www.sciencedirect.com/science/article/pii/S0378426616301340)
  • 2. “A Machine Learning Efficient Frontier,” with Zachary Feinstein and Majeed Simaan, Operations Research Letters, Sept. 2020, 48 (5), pages 630-634.
  • 3. “Bank Loan Renegotiation and Credit Default Swaps,” with James Donato, Bill Francis, and Thomas Shohfi, Journal of Banking and Finance, forthcoming (September 2020).
  • 4. “Consumer Defaults and Social Capital,” with Iftekhar Hasan, Helen Lai, Feng Li, and Akhtar Siddique, Journal of Financial Stability, forthcoming (November 2020).
  • 5. “Estimation Risk and the Implicit Value of Index-Tracking,” with Chanaka Edirisinghe and Majeed Simaan, Quantitative Finance, forthcoming (July 2021). https://doi.org/10.1080/14697688.2021.1959631.
  • 6. “Operational Risk: An Overview of Stress-Testing Methodologies,” with Bakhodir Ergashev in Stress Testing (Chapter in Risk Books, 2013; reprinted in 2nd. Ed., 2019)
  • 7. “Pricing Model Complexity: The Case for Volatility-Managed Portfolios,” with Majeed Simaan and Akhtar Siddique in "Machine Learning in Financial Markets: A Guide to Contemporary Practices." (forthcoming early 2022, Cambridge University Press )