Docs / nablatensor-quant / com.nablatensor.quant.transform
interface
CharacteristicFunction
The risk-neutral characteristic function of the log-return X_T = ln(S_T / S_0): phi(u, T) = E^Q[ exp(i u X_T) ]. The drift and any martingale correction are baked in, so CosMethod needs nothing else to price a European option.
Implementations also supply the first, second and fourth cumulants of X_T, which set the COS truncation range.
Methods
Complex phi(double u, double maturity)
double cumulant1(double maturity)
First cumulant (mean) of X_T.
double cumulant2(double maturity)
Second cumulant (variance) of X_T.
double cumulant4(double maturity)
Fourth cumulant of X_T (0 if unknown; the range then leans on cumulant2).