Fractional-PDEs-under-Levy-Models-Machine-Learning-for-Calibrating-Advanced
PublicThis project builds a fast, intelligent calibration engine for advanced asset pricing models. Standard Black-Scholes breaks down under real markets with fat tails and jumps, but Lévy models (Variance Gamma, CGMY) are too slow and unstable to calibrate with classical methods.