publications
Published Papers
- Crypto dynamics during market downturns: Another dotcom boom-bust cycle?Digital Asses Research & Engineering Collaborative, Duke University, 2022
- Reinforcement learning policy recommendation for interbank network stabilityJournal of Financial Stability, 2023
- Assessing the resiliency of investors against cryptocurrency market crashes through the leverage effectEconomics Letters, 2022
- Reinforcement learning for sequential decision-making: a data driven approach for finance2022
- Trading mean-reversion with reinforcement learning2022
- SpotV2Net: Multivariate intraday spot volatility forecasting via vol-of-vol-informed graph attention networksInternational Journal of Forecasting, 2025
- A comparison of cryptocurrency volatility-benchmarking new and mature asset classesFinancial Innovation, 2024
- Pricing cryptocurrency options with machine learning regression for handling market volatilityEconomic Modelling, 2024
- Deep reinforcement trading with predictable returnsPhysica A: Statistical Mechanics and its Applications, 2023
- Data-driven Derivative Hedging with Quadratic Variation PenaltyIn Proceedings of the 5th ACM International Conference on AI in Finance, 2024
- Modeling and simulating a startup ecosystem development with a delayed differential equationSoft Computing, 2025
Working Papers
- A machine learning approach to forecasting honey production with tree-based methodsarXiv preprint arXiv:2304.01215, 2023
- Bitcoin ETFs: Measuring the performance of this new market nicheAvailable at SSRN, 2022
- Honey-at-Risk: Honey Production Modeling via Factor Copulae with an application to Optimal Trigger Calibration for Weather-Indexed Insurance ContractsAvailable at SSRN 4562432, 2023
- Improving DeFi Accessibility through Efficient Liquidity Provisioning with Deep Reinforcement LearningarXiv preprint arXiv:2501.07508, 2025
- Empirical Models of the Time Evolution of SPX Option PricesarXiv preprint arXiv:2506.17511, 2025