Evaluating Generative Models for Synthetic Financial Data
Published in arXiv Preprint, 2025
This paper studies the evaluation of generative models for synthetic financial data generation and their application to financial modeling and risk assessment. The work analyzes model performance under realistic financial constraints and provides empirical benchmarking results.
Recommended citation: Christophe D. Hounwanou, Ulrich Yae Gaba, Pierre Ntakirutimana. (2025). "Evaluating Generative Models for Synthetic Financial Data." arXiv preprint arXiv:2512.21791.
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