net.finmath.montecarlo.interestrate.modelplugins.LIBORCovarianceModelExponentialForm5Param Maven / Gradle / Ivy
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finmath lib is a Mathematical Finance Library in Java.
It provides algorithms and methodologies related to mathematical finance.
/*
* (c) Copyright Christian P. Fries, Germany. All rights reserved. Contact: [email protected].
*
* Created on 20.05.2006
*/
package net.finmath.montecarlo.interestrate.modelplugins;
import net.finmath.montecarlo.RandomVariable;
import net.finmath.stochastic.RandomVariableInterface;
import net.finmath.time.TimeDiscretizationInterface;
public class LIBORCovarianceModelExponentialForm5Param extends AbstractLIBORCovarianceModelParametric {
double[] parameter = new double[5];
LIBORVolatilityModelMaturityDependentFourParameterExponentialForm volatilityModel;
LIBORCorrelationModelExponentialDecay correlationModel;
public LIBORCovarianceModelExponentialForm5Param(TimeDiscretizationInterface timeDiscretization, TimeDiscretizationInterface liborPeriodDiscretization, int numberOfFactors) {
super(timeDiscretization, liborPeriodDiscretization, numberOfFactors);
parameter[0] = 0.20;
parameter[1] = 0.05;
parameter[2] = 0.10;
parameter[3] = 0.20;
parameter[4] = 0.10;
setParameter(parameter);
}
@Override
public Object clone() {
LIBORCovarianceModelExponentialForm5Param model = new LIBORCovarianceModelExponentialForm5Param(this.getTimeDiscretization(), this.getLiborPeriodDiscretization(), this.getNumberOfFactors());
model.setParameter(this.getParameter());
return model;
}
@Override
public double[] getParameter() {
return parameter;
}
@Override
public void setParameter(double[] parameter) {
if(parameter[4] < 0) parameter[4] = Math.max(parameter[4], 0.0);
this.parameter = parameter;
volatilityModel = new LIBORVolatilityModelMaturityDependentFourParameterExponentialForm(getLiborPeriodDiscretization(), getLiborPeriodDiscretization(), parameter[0], parameter[1], parameter[2], parameter[3]);
correlationModel = new LIBORCorrelationModelExponentialDecay(getLiborPeriodDiscretization(), getLiborPeriodDiscretization(), getNumberOfFactors(), parameter[4], false);
}
@Override
public RandomVariableInterface[] getFactorLoading(int timeIndex, int component, RandomVariableInterface[] realizationAtTimeIndex) {
RandomVariableInterface[] factorLoading = new RandomVariableInterface[correlationModel.getNumberOfFactors()];
for (int factorIndex = 0; factorIndex < factorLoading.length; factorIndex++) {
RandomVariableInterface volatility = volatilityModel.getVolatility(timeIndex, component);
factorLoading[factorIndex] = volatility
.mult(correlationModel.getFactorLoading(timeIndex, factorIndex, component));
}
return factorLoading;
}
@Override
public RandomVariable getFactorLoadingPseudoInverse(int timeIndex, int component, int factor, RandomVariableInterface[] realizationAtTimeIndex) {
throw new UnsupportedOperationException();
}
}
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