StDDPM: Sequential Financial Synthetic Data Generation using T-distribution based Diffusion Model

This work studies sequential synthetic financial data generation using diffusion models with a Student t-distribution denoising process. The model targets privacy-preserving financial sequence generation for model development, testing, and analysis when real sensitive transaction data cannot be directly shared.