SingleFactorStateEvolver.java
package org.drip.dynamics.hullwhite;
/*
* -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
*/
/*!
* Copyright (C) 2020 Lakshmi Krishnamurthy
* Copyright (C) 2019 Lakshmi Krishnamurthy
* Copyright (C) 2018 Lakshmi Krishnamurthy
* Copyright (C) 2017 Lakshmi Krishnamurthy
* Copyright (C) 2016 Lakshmi Krishnamurthy
* Copyright (C) 2015 Lakshmi Krishnamurthy
*
* This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
* asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
* analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
* equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
* numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
* and computational support.
*
* https://lakshmidrip.github.io/DROP/
*
* DROP is composed of three modules:
*
* - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
* - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
* - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
*
* DROP Product Core implements libraries for the following:
* - Fixed Income Analytics
* - Loan Analytics
* - Transaction Cost Analytics
*
* DROP Portfolio Core implements libraries for the following:
* - Asset Allocation Analytics
* - Asset Liability Management Analytics
* - Capital Estimation Analytics
* - Exposure Analytics
* - Margin Analytics
* - XVA Analytics
*
* DROP Computational Core implements libraries for the following:
* - Algorithm Support
* - Computation Support
* - Function Analysis
* - Model Validation
* - Numerical Analysis
* - Numerical Optimizer
* - Spline Builder
* - Statistical Learning
*
* Documentation for DROP is Spread Over:
*
* - Main => https://lakshmidrip.github.io/DROP/
* - Wiki => https://github.com/lakshmiDRIP/DROP/wiki
* - GitHub => https://github.com/lakshmiDRIP/DROP
* - Repo Layout Taxonomy => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
* - Javadoc => https://lakshmidrip.github.io/DROP/Javadoc/index.html
* - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
* - Release Versions => https://lakshmidrip.github.io/DROP/version.html
* - Community Credits => https://lakshmidrip.github.io/DROP/credits.html
* - Issues Catalog => https://github.com/lakshmiDRIP/DROP/issues
* - JUnit => https://lakshmidrip.github.io/DROP/junit/index.html
* - Jacoco => https://lakshmidrip.github.io/DROP/jacoco/index.html
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
*
* You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
*
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/**
* <i>SingleFactorStateEvolver</i> provides the Hull-White One-Factor Gaussian HJM Short Rate Dynamics
* Implementation.
*
* <br><br>
* <ul>
* <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
* <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/FixedIncomeAnalyticsLibrary.md">Fixed Income Analytics</a></li>
* <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/dynamics/README.md">HJM, Hull White, LMM, and SABR Dynamic Evolution Models</a></li>
* <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/dynamics/hullwhite/README.md">Hull White Latent State Evolution</a></li>
* </ul>
*
* @author Lakshmi Krishnamurthy
*/
public class SingleFactorStateEvolver implements org.drip.dynamics.evolution.PointStateEvolver {
private double _dblA = java.lang.Double.NaN;
private double _dblSigma = java.lang.Double.NaN;
private org.drip.function.definition.R1ToR1 _auIFRInitial = null;
private org.drip.state.identifier.FundingLabel _lslFunding = null;
private org.drip.sequence.random.UnivariateSequenceGenerator _usg = null;
/**
* SingleFactorStateEvolver Constructor
*
* @param lslFunding The Funding Latent State Label
* @param dblSigma Sigma
* @param dblA A
* @param auIFRInitial The Initial Instantaneous Forward Rate Term Structure
* @param usg Univariate Random Sequence Generator
*
* @throws java.lang.Exception Thrown if the Inputs are Invalid
*/
public SingleFactorStateEvolver (
final org.drip.state.identifier.FundingLabel lslFunding,
final double dblSigma,
final double dblA,
final org.drip.function.definition.R1ToR1 auIFRInitial,
final org.drip.sequence.random.UnivariateSequenceGenerator usg)
throws java.lang.Exception
{
if (null == (_lslFunding = lslFunding) || !org.drip.numerical.common.NumberUtil.IsValid (_dblSigma =
dblSigma) || !org.drip.numerical.common.NumberUtil.IsValid (_dblA = dblA) || null == (_auIFRInitial =
auIFRInitial) || null == (_usg = usg))
throw new java.lang.Exception ("SingleFactorStateEvolver ctr: Invalid Inputs");
}
/**
* Retrieve the Funding Label
*
* @return The Funding Label
*/
public org.drip.state.identifier.FundingLabel fundingLabel()
{
return _lslFunding;
}
/**
* Retrieve Sigma
*
* @return Sigma
*/
public double sigma()
{
return _dblSigma;
}
/**
* Retrieve A
*
* @return A
*/
public double a()
{
return _dblA;
}
/**
* Retrieve the Initial Instantaneous Forward Rate Term Structure
*
* @return The Initial Instantaneous Forward Rate Term Structure
*/
public org.drip.function.definition.R1ToR1 ifrInitialTermStructure()
{
return _auIFRInitial;
}
/**
* Retrieve the Random Sequence Generator
*
* @return The Random Sequence Generator
*/
public org.drip.sequence.random.UnivariateSequenceGenerator rsg()
{
return _usg;
}
/**
* Calculate the Alpha
*
* @param iSpotDate The Spot Date
* @param iViewDate The View Date
*
* @return Alpha
*
* @throws java.lang.Exception Thrown if Alpha cannot be computed
*/
public double alpha (
final int iSpotDate,
final int iViewDate)
throws java.lang.Exception
{
if (iSpotDate > iViewDate)
throw new java.lang.Exception ("SingleFactorStateEvolver::alpha => Invalid Inputs");
double dblAlphaVol = _dblSigma * (1. - java.lang.Math.exp (_dblA * (iViewDate - iSpotDate) / 365.25))
/ _dblA;
return _auIFRInitial.evaluate (iViewDate) + 0.5 * dblAlphaVol * dblAlphaVol;
}
/**
* Calculate the Theta
*
* @param iSpotDate The Spot Date
* @param iViewDate The View Date
*
* @return Theta
*
* @throws java.lang.Exception Thrown if Theta cannot be computed
*/
public double theta (
final int iSpotDate,
final int iViewDate)
throws java.lang.Exception
{
if (iSpotDate > iViewDate)
throw new java.lang.Exception ("SingleFactorStateEvolver::theta => Invalid Inputs");
return _auIFRInitial.derivative (iViewDate, 1) + _dblA * _auIFRInitial.evaluate (iViewDate) +
_dblSigma * _dblSigma / (2. * _dblA) * (1. - java.lang.Math.exp (-2. * _dblA * (iViewDate -
iSpotDate) / 365.25));
}
/**
* Calculate the Short Rate Increment
*
* @param iSpotDate The Spot Date
* @param iViewDate The View Date
* @param dblShortRate The Short Rate
* @param iViewTimeIncrement The View Time Increment
*
* @return The Short Rate Increment
*
* @throws java.lang.Exception Thrown if the Short Rate cannot be computed
*/
public double shortRateIncrement (
final int iSpotDate,
final int iViewDate,
final double dblShortRate,
final int iViewTimeIncrement)
throws java.lang.Exception
{
if (iSpotDate > iViewDate || !org.drip.numerical.common.NumberUtil.IsValid (dblShortRate))
throw new java.lang.Exception ("SingleFactorStateEvolver::shortRateIncrement => Invalid Inputs");
double dblAnnualizedIncrement = 1. * iViewTimeIncrement / 365.25;
return (theta (iSpotDate, iViewDate) - _dblA * dblShortRate) * dblAnnualizedIncrement + _dblSigma *
java.lang.Math.sqrt (dblAnnualizedIncrement) * _usg.random();
}
@Override public org.drip.dynamics.evolution.LSQMPointUpdate evolve (
final int iSpotDate,
final int iViewDate,
final int iSpotTimeIncrement,
final org.drip.dynamics.evolution.LSQMPointUpdate lsqmPrev)
{
if (iViewDate < iSpotDate || null == lsqmPrev || !(lsqmPrev instanceof
org.drip.dynamics.hullwhite.ShortRateUpdate))
return null;
int iDate = iSpotDate;
int iTimeIncrement = 1;
int iFinalDate = iSpotDate + iSpotTimeIncrement;
double dblInitialShortRate = java.lang.Double.NaN;
try {
dblInitialShortRate = ((org.drip.dynamics.hullwhite.ShortRateUpdate)
lsqmPrev).realizedFinalShortRate();
} catch (java.lang.Exception e) {
e.printStackTrace();
return null;
}
double dblShortRate = dblInitialShortRate;
while (iDate < iFinalDate) {
try {
dblShortRate += shortRateIncrement (iSpotDate, iDate, dblShortRate, iTimeIncrement);
} catch (java.lang.Exception e) {
e.printStackTrace();
return null;
}
++iDate;
}
double dblADF = java.lang.Math.exp (-1. * _dblA * iSpotTimeIncrement);
double dblB = (1. - dblADF) / _dblA;
try {
return org.drip.dynamics.hullwhite.ShortRateUpdate.Create (_lslFunding, iSpotDate, iFinalDate,
iViewDate, dblInitialShortRate, dblShortRate, dblInitialShortRate * dblADF + alpha
(iSpotDate, iFinalDate) - alpha (iSpotDate, iViewDate) * dblADF, 0.5 * _dblSigma *
_dblSigma * (1. - dblADF * dblADF) / _dblA, java.lang.Math.exp (dblB *
_auIFRInitial.evaluate (iViewDate) - 0.25 * _dblSigma * _dblSigma * (1. -
java.lang.Math.exp (-2. * _dblA * (iViewDate - iSpotDate) / 365.25)) * dblB *
dblB / _dblA));
} catch (java.lang.Exception e) {
e.printStackTrace();
}
return null;
}
/**
* Generate the Metrics associated with the Transition that results from using a Trinomial Tree Using the
* Starting Node Metrics
*
* @param iSpotDate The Spot/Epoch Date
* @param iInitialDate The Initial Date
* @param iTerminalDate The Terminal Date
* @param hwnmInitial The Initial Node Metrics
*
* @return The Hull White Transition Metrics
*/
public org.drip.dynamics.hullwhite.TrinomialTreeTransitionMetrics evolveTrinomialTree (
final int iSpotDate,
final int iInitialDate,
final int iTerminalDate,
final org.drip.dynamics.hullwhite.TrinomialTreeNodeMetrics hwnmInitial)
{
if (iInitialDate < iSpotDate || iTerminalDate <= iInitialDate) return null;
long lTreeTimeIndex = 0L;
double dblExpectedTerminalX = 0.;
long lTreeStochasticBaseIndex = 0L;
if (null != hwnmInitial) {
dblExpectedTerminalX = hwnmInitial.x();
lTreeTimeIndex = hwnmInitial.timeIndex() + 1;
lTreeStochasticBaseIndex = hwnmInitial.xStochasticIndex();
}
double dblADF = java.lang.Math.exp (-1. * _dblA * (iTerminalDate - iInitialDate) / 365.25);
try {
return new org.drip.dynamics.hullwhite.TrinomialTreeTransitionMetrics (iInitialDate,
iTerminalDate, lTreeTimeIndex, lTreeStochasticBaseIndex, dblExpectedTerminalX * dblADF, 0.5 *
_dblSigma * _dblSigma * (1. - dblADF * dblADF) / _dblA, alpha (iSpotDate,
iTerminalDate));
} catch (java.lang.Exception e) {
e.printStackTrace();
}
return null;
}
/**
* Evolve the Trinomial Tree Sequence
*
* @param iSpotDate The Spot Date
* @param iInitialDate The Initial Date
* @param iDayIncrement The Day Increment
* @param iNumIncrement Number of Times to Increment
* @param hwnm Starting Node Metrics
* @param hwsm The Sequence Metrics
*
* @return TRUE - The Tree Successfully Evolved
*/
public boolean evolveTrinomialTreeSequence (
final int iSpotDate,
final int iInitialDate,
final int iDayIncrement,
final int iNumIncrement,
final org.drip.dynamics.hullwhite.TrinomialTreeNodeMetrics hwnm,
final org.drip.dynamics.hullwhite.TrinomialTreeSequenceMetrics hwsm)
{
if (iInitialDate < iSpotDate || 0 >= iDayIncrement || null == hwsm) return false;
if (0 == iNumIncrement) return true;
org.drip.dynamics.hullwhite.TrinomialTreeTransitionMetrics hwtm = evolveTrinomialTree (iSpotDate,
iInitialDate, iInitialDate + iDayIncrement, hwnm);
if (!hwsm.addTransitionMetrics (hwtm)) return false;
org.drip.dynamics.hullwhite.TrinomialTreeNodeMetrics hwnmUp = hwtm.upNodeMetrics();
if (!hwsm.addNodeMetrics (hwnmUp) || (null != hwnm && !hwsm.setTransitionProbability (hwnm, hwnmUp,
hwtm.probabilityUp())) || !evolveTrinomialTreeSequence (iSpotDate, iInitialDate + iDayIncrement,
iDayIncrement, iNumIncrement - 1, hwnmUp, hwsm))
return false;
org.drip.dynamics.hullwhite.TrinomialTreeNodeMetrics hwnmDown = hwtm.downNodeMetrics();
if (!hwsm.addNodeMetrics (hwnmDown) || (null != hwnm && !hwsm.setTransitionProbability (hwnm,
hwnmDown, hwtm.probabilityDown())) || !evolveTrinomialTreeSequence (iSpotDate, iInitialDate +
iDayIncrement, iDayIncrement, iNumIncrement - 1, hwnmDown, hwsm))
return false;
org.drip.dynamics.hullwhite.TrinomialTreeNodeMetrics hwnmStay = hwtm.stayNodeMetrics();
if (!hwsm.addNodeMetrics (hwnmStay) || (null != hwnm && !hwsm.setTransitionProbability (hwnm,
hwnmStay, hwtm.probabilityStay())) || !evolveTrinomialTreeSequence (iSpotDate, iInitialDate +
iDayIncrement, iDayIncrement, iNumIncrement - 1, hwnmStay, hwsm))
return false;
return true;
}
/**
* Evolve the Trinomial Tree Sequence
*
* @param iSpotDate The Spot Date
* @param iDayIncrement The Day Increment
* @param iNumIncrement Number of Times to Increment
*
* @return The Sequence Metrics
*/
public org.drip.dynamics.hullwhite.TrinomialTreeSequenceMetrics evolveTrinomialTreeSequence (
final int iSpotDate,
final int iDayIncrement,
final int iNumIncrement)
{
org.drip.dynamics.hullwhite.TrinomialTreeSequenceMetrics hwsm = new
org.drip.dynamics.hullwhite.TrinomialTreeSequenceMetrics();
return evolveTrinomialTreeSequence (iSpotDate, iSpotDate, iDayIncrement, iNumIncrement, null, hwsm) ?
hwsm : null;
}
}