Brief Overview of Thesis Findings

This presentation delves into synthetic data generation for improving private equity (PE) forecasting. It explores PE cash flow challenges, comparing bootstrapping versus GAN methodologies using transaction-level PE fund data. Key analysis includes evaluating predictive accuracy and observed trends. The study highlights challenges in PE-specific data modeling and proposes a robust validation framework. Contributions emphasize advancing synthetic data understanding and providing actionable...