Brief Overview of Thesis Findings

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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...