×
€
A practitioner might choose MCS for flexibility and FDM for speed when low dimensionality holds. The choice reflects a core theme of computational finance: no single method dominates all problems.
Easy to calculate but can be numerically unstable. mathematical modeling and computation in finance pdf
$$C(S,t) = S \Phi(d_1) - Ke^-r(T-t) \Phi(d_2)$$ A practitioner might choose MCS for flexibility and
: Deeply details the Fourier-cosine expansion method for hyper-fast pricing and model calibration of European options. mathematical modeling and computation in finance pdf