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This study presents an in-depth exploration into the utilization of Variational Autoencoders (VAEs) for modeling and completing implied volatility surfaces within the context of the index equities market, a crucial aspect of option pricing. Moreover, our study examines the predictive capabilities of neural networks concerning fluctuations in spot prices, with a specialized spot model calibrated to
