Research

Research Interests

Financial Markets, Strategies, and Products

  • Volatility, options, and derivatives markets
  • Corporate bond and credit markets
  • Portfolio construction, derivatives-enhanced equity strategies, and ETF design
  • Trading frictions, liquidity, and execution
  • Blockchain systems and decentralized finance

Methods

  • Machine learning and AI for quantitative finance
  • Deep learning, sequential modeling, and reinforcement learning
  • Statistical learning, prediction, and causal inference for financial decision-making
  • Optimization and constrained decision-making

Working Papers and Work in Progress

"Harvesting the Variance Risk Premium with Generalized Covered Calls," (2026)
with Daniel Cheeseman, Christopher S. Jones, and Daniel J. Vera

"High-Dimensional Regime-Switching Covariance Estimation for Corporate Bonds," (2026)
with Gourab Mukherjee and Debashis Paul

"Store of Value or Settlement Rail? The Function of Stablecoins among High-Throughput Ethereum Wallets," (2026)
with Benjamin Gillen and Gourab Mukherjee

"High-Frequency Multivariate Sequence Modeling for Intraday S&P 500 Volatility and 0DTE Options Mispricing," (2026)
with James Chen, Mihai Cucuringu, and Christopher S. Jones

"Optimizing Returns for Corporate Bonds," (2026)
with Petter Kolm and Terry Benzschawel

"Alpha Decay, Implementation Decay: Lessons from Systematic Credit Strategies," (2026)
with Petter Kolm and Terry Benzschawel

"Alpha Term Structure in Corporate Bonds for Pricing and Hedging," (2026)
with Petter Kolm and Terry Benzschawel

Publications and Forthcoming Papers

"End-to-End Parametric Portfolio Policies for Cross-Asset Futures Timing: When Do AI Models Beat Simple Rules?," (2026), Forthcoming, IEEE Artificial Intelligence for Business (AIxB)
with Kevin Robik

"Modeling Wallet-Level Behavioral Shifts Post-FTX Collapse: An XAI-Driven GLM Study on Ethereum Transactions," (2025), IEEE Artificial Intelligence for Business (AIxB)
with Benjamin Gillen, Rashmi Ranjan Bhuyan, and Gourab Mukherjee

"High-Frequency Kelly Criterion and Fat-Tails: Gambling with an Edge," (2022)
ProQuest Dissertations and Theses

"Kelly Criterion: From a Simple Random Walk to Lévy Processes," (2021)
SIAM Journal of Financial Mathematics, 12-1, 342-368
with Sergey Lototsky

"Transient Feedback and Robust Signaling Gradients. Appendix: Feedback on Receptor Synthesis Rate," (2016)
International Journal of Numerical Analysis and Modeling
with Frederic Y. Wan

Permanent Working Papers

"Predicting Realized Variance Out of Sample: Can Anything Beat The Benchmark?," (2022)
arXiv preprint

"Is the Kelly Criterion Just Another Utility Function?," (2022)
with Peter Carr

You can also find my articles on my Google Scholar profile.