@yaraent
This paper compares interpolation methods for constructing volatility surfaces in NFT option pricing models. By evaluating cubic spline, radial basis function, and machine learning-based approaches, we assess accuracy and computational efficiency. Findings suggest hybrid methods combining parametric fits with local adjustments provide optimal balance, improving option pricing reliability in illiquid NFT markets.
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