Docs / nablatensor-quant / com.nablatensor.quant
class
KouJumpModel
Kou double-exponential jump-diffusion as a composable step block (Seam 5).
Structure follows MertonJumpModel: one smoothed at-most-one-jump indicator per step, but the log jump size is drawn from the asymmetric two-sided exponential by inverting each side's CDF from a uniform. The risk-neutral compensator is
kappa = probUp * etaUp / (etaUp - 1) + (1 - probUp) * etaDown / (etaDown + 1) - 1
probUp, etaUp, etaDown are differentiable inputs.
Constructors
KouJumpModel(Nabla.Inputs<KouMarket> in, double maturity, int steps, double indicatorWidth)
Methods
ADouble start(Nabla.Inputs<KouMarket> in)
ADouble step(AadRecorder rec, ADouble s, ADouble z, ADouble uJump, ADouble uSide, ADouble uMag)
One step. z drives the diffusion, uJump selects whether a jump occurs, uSide selects up vs down, uMag is inverted to the exponential magnitude.
static BiConsumer<AadRecorder, Nabla.Inputs<KouMarket>> european(OptionType type, double maturity, int steps)
static BiConsumer<AadRecorder, Nabla.Inputs<KouMarket>> european(OptionType type, double maturity, int steps, double indicatorWidth)