/*
Copyright (C) 2008 Srinivas Hasti
This source code is release under the BSD License.
This file is part of JQuantLib, a free-software/open-source library
for financial quantitative analysts and developers - http://jquantlib.org/
JQuantLib is free software: you can redistribute it and/or modify it
under the terms of the JQuantLib license. You should have received a
copy of the license along with this program; if not, please email
. The license is also available online at
.
This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the license for more details.
JQuantLib is based on QuantLib. http://quantlib.org/
When applicable, the original copyright notice follows this notice.
*/
/*
Copyright (C) 2001, 2002, 2003 Sadruddin Rejeb
Copyright (C) 2005 StatPro Italia srl
This file is part of QuantLib, a free-software/open-source library
for financial quantitative analysts and developers - http://quantlib.org/
QuantLib is free software: you can redistribute it and/or modify it
under the terms of the QuantLib license. You should have received a
copy of the license along with this program; if not, please email
. The license is also available online at
.
This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the license for more details.
*/
package org.jquantlib.methods.lattices;
import org.jquantlib.math.matrixutilities.Array;
import org.jquantlib.time.TimeGrid;
/**
* Simple binomial lattice approximating the Black-Scholes model
*
* @category lattices
*
* @author Srinivas Hasti
*/
public class BlackScholesLattice extends TreeLattice1D {
private final T tree;
private final double discount;
private final double pd;
private final double pu;
public BlackScholesLattice(
final T tree,
final double riskFreeRate,
final /*@Time*/ double end,
final int steps) {
super(new TimeGrid(end, steps), 2);
this.tree = tree;
this.discount = Math.exp(-riskFreeRate * (end / steps));
this.pd = tree.probability(0, 0, 0);
this.pu = tree.probability(0, 0, 1);
}
@Override
public int size(final int i) {
return tree.size(i);
}
@Override
public double discount(final int a, final int b) {
return discount;
}
@Override
public double underlying(final int i, final int index) {
return tree.underlying(i, index);
}
@Override
public int descendant(final int i, final int index, final int branch) {
return tree.descendant(i, index, branch);
}
@Override
public double probability(final int i, final int index, final int branch) {
return tree.probability(i, index, branch);
}
@Override
public void stepback(final int i, final Array values, final Array newValues) {
for (int j = 0; j < size(i); j++)
newValues.set(j, (pd * values.get(j) + pu * values.get(j + 1)) * discount);
}
}
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