HazardJumpEvaluator.java
package org.drip.measure.dynamics;
/*!
* Copyright (C) 2020 Lakshmi Krishnamurthy
* Copyright (C) 2019 Lakshmi Krishnamurthy
* Copyright (C) 2018 Lakshmi Krishnamurthy
* Copyright (C) 2017 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>HazardJumpEvaluator</i> implements the Hazard Jump Process Point Event Indication Evaluator that guides
* the Single Factor Jump-Termination Random Process Variable Evolution.
*
* <br><br>
* <ul>
* <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
* <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalAnalysisLibrary.md">Numerical Analysis Library</a></li>
* <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/measure/README.md">R<sup>d</sup> Continuous/Discrete Probability Measures</a></li>
* <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/measure/dynamics/README.md">Jump Diffusion Evolution Evaluator Variants</a></li>
* </ul>
*
* @author Lakshmi Krishnamurthy
*/
public class HazardJumpEvaluator extends org.drip.measure.dynamics.SingleJumpEvaluator {
private double _dblMagnitude = java.lang.Double.NaN;
private double _dblHazardRate = java.lang.Double.NaN;
/**
* Generate a Standard Instance of HazardJumpEvaluator
*
* @param dblHazardRate The Hazard Rate
* @param dblMagnitude The Magnitude
*
* @return The Standard Instance of HazardJumpEvaluator
*/
public static final HazardJumpEvaluator Standard (
final double dblHazardRate,
final double dblMagnitude)
{
org.drip.measure.dynamics.LocalEvaluator leDensity = new org.drip.measure.dynamics.LocalEvaluator() {
@Override public double value (
final org.drip.measure.realization.JumpDiffusionVertex jdv)
throws java.lang.Exception
{
return -1. * dblHazardRate * java.lang.Math.exp (-1. * dblHazardRate);
}
};
org.drip.measure.dynamics.LocalEvaluator leMagnitude = new org.drip.measure.dynamics.LocalEvaluator()
{
@Override public double value (
final org.drip.measure.realization.JumpDiffusionVertex jdv)
throws java.lang.Exception
{
return dblMagnitude;
}
};
try {
return new HazardJumpEvaluator (dblHazardRate, dblMagnitude, leDensity, leMagnitude);
} catch (java.lang.Exception e) {
e.printStackTrace();
}
return null;
}
private HazardJumpEvaluator (
final double dblHazardRate,
final double dblMagnitude,
final org.drip.measure.dynamics.LocalEvaluator leDensity,
final org.drip.measure.dynamics.LocalEvaluator leMagnitude)
throws java.lang.Exception
{
super (leDensity, leMagnitude);
if (!org.drip.numerical.common.NumberUtil.IsValid (_dblHazardRate = dblHazardRate) || 0. > _dblHazardRate
|| !org.drip.numerical.common.NumberUtil.IsValid (_dblMagnitude = dblMagnitude) || 0. >
_dblMagnitude)
throw new java.lang.Exception ("HazardJumpEvaluator Constructor => Invalid Inputs");
}
/**
* Retrieve the Hazard Rate
*
* @return The Hazard Rate
*/
public double hazardRate()
{
return _dblHazardRate;
}
/**
* Retrieve the Magnitude
*
* @return The Magnitude
*/
public double magnitude()
{
return _dblMagnitude;
}
}