3 papers
q-fin.CP2025
FinFlowRL: An Imitation-Reinforcement Learning Framework for Adaptive Stochastic Control in Finance
Yang Li, Zhi Chen, Steve Y. Yang +1
Traditional stochastic control methods in finance rely on simplifying assumptions that often fail in real world markets. While these methods work well in specific, well defined sce…
cs.CE2025
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
Dannong Wang, Jaisal Patel, Daochen Zha +2
Low-rank adaptation (LoRA) methods show great potential for scaling pre-trained general-purpose Large Language Models (LLMs) to hundreds or thousands of use scenarios. However, the…
q-fin.TR2025
FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions
Yang Li, Zhi Chen, Steve Yang
High-frequency trading (HFT) is an investing strategy that continuously monitors market states and places bid and ask orders at millisecond speeds. Traditional HFT approaches fit m…