Volatility Model Training for Financial Data

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This presentation explores the comprehensive process of preparing, preprocessing, and training a VolGAN model to forecast SPX next-day options surfaces. Topics include data extraction, cleaning, and generating IV surfaces, creating engineered features and temporal sequences, and splitting training/testing sets. It details the implementation of the generator/discriminator pair, optimized training techniques, and application of loss functions. The model outcomes focus on producing realistic IV...