@zurier

This paper compares the generalization ability of different machine learning algorithms for constructing implied volatility surfaces of NFT options. By training models on historical option data and evaluating their performance on unseen markets, we assess their robustness. Findings reveal that ensemble methods and deep learning models exhibit superior generalization, enabling more accurate volatility predictions for NFT option pricing.

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