Interpolation Method Selection

Algorithm

Interpolation method selection within cryptocurrency derivatives pricing necessitates a nuanced approach, differing from traditional finance due to data sparsity and volatility. The choice impacts the accuracy of implied volatility surfaces, crucial for option pricing and risk management. Cubic splines and kernel regression are frequently employed, balancing smoothness with responsiveness to market changes, while polynomial interpolation can introduce unwanted oscillations.