Docs / nablatensor-quant / com.nablatensor.lattice
final class
BinomialTree
A recombining binomial tree with backward induction — the method the curriculum introduces risk-neutral valuation and early exercise with, and the one thing a record-and-replay Monte-Carlo engine cannot do. Deliberately not on the adjoint tape: this is a plain double, O(n^2) companion.
Three lattice parameterisations:
CRR— Cox-Ross-Rubinstein,u = e^{sigma sqrt(dt)};O(1/n)convergence with the familiar even/odd oscillation;JARROW_RUDD— equal-probability;LEISEN_REIMER— Peizer-Pratt inversion of the Black-Scholesd1,d2; smoothO(1/n^2)convergence, odd step count, vanilla only.
Methods
static BinomialTree of(double spot, double rate, double dividendYield, double vol, double maturity, int steps, Method method)
int steps()
double price(LatticePayoff payoff, ExerciseSchedule schedule)
Price a general payoff under an exercise schedule (CRR or JARROW_RUDD); the terminal payoff also serves as the early-exercise payoff.
double priceVanilla(OptionType type, double strike, ExerciseSchedule schedule)
Price a vanilla call/put; the only entry point that supports Leisen-Reimer.