StochasticEdgeJump.java

  1. package org.drip.measure.realization;

  2. /*
  3.  * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
  4.  */

  5. /*!
  6.  * Copyright (C) 2020 Lakshmi Krishnamurthy
  7.  * Copyright (C) 2019 Lakshmi Krishnamurthy
  8.  * Copyright (C) 2018 Lakshmi Krishnamurthy
  9.  * Copyright (C) 2017 Lakshmi Krishnamurthy
  10.  *
  11.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  12.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  13.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  14.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  15.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  16.  *      and computational support.
  17.  *  
  18.  *      https://lakshmidrip.github.io/DROP/
  19.  *  
  20.  *  DROP is composed of three modules:
  21.  *  
  22.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  23.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  24.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  25.  *
  26.  *  DROP Product Core implements libraries for the following:
  27.  *  - Fixed Income Analytics
  28.  *  - Loan Analytics
  29.  *  - Transaction Cost Analytics
  30.  *
  31.  *  DROP Portfolio Core implements libraries for the following:
  32.  *  - Asset Allocation Analytics
  33.  *  - Asset Liability Management Analytics
  34.  *  - Capital Estimation Analytics
  35.  *  - Exposure Analytics
  36.  *  - Margin Analytics
  37.  *  - XVA Analytics
  38.  *
  39.  *  DROP Computational Core implements libraries for the following:
  40.  *  - Algorithm Support
  41.  *  - Computation Support
  42.  *  - Function Analysis
  43.  *  - Model Validation
  44.  *  - Numerical Analysis
  45.  *  - Numerical Optimizer
  46.  *  - Spline Builder
  47.  *  - Statistical Learning
  48.  *
  49.  *  Documentation for DROP is Spread Over:
  50.  *
  51.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  52.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  53.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  54.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  55.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  56.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  57.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  58.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  59.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  60.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  61.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  62.  *
  63.  *  Licensed under the Apache License, Version 2.0 (the "License");
  64.  *      you may not use this file except in compliance with the License.
  65.  *  
  66.  *  You may obtain a copy of the License at
  67.  *      http://www.apache.org/licenses/LICENSE-2.0
  68.  *  
  69.  *  Unless required by applicable law or agreed to in writing, software
  70.  *      distributed under the License is distributed on an "AS IS" BASIS,
  71.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  72.  *  
  73.  *  See the License for the specific language governing permissions and
  74.  *      limitations under the License.
  75.  */

  76. /**
  77.  * <i>StochasticEdgeJump</i> holds the Edge of the Jump Stochastic Evaluator Outcome.
  78.  *
  79.  *  <br><br>
  80.  *  <ul>
  81.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
  82.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalAnalysisLibrary.md">Numerical Analysis Library</a></li>
  83.  *      <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>
  84.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/measure/realization/README.md">Stochastic Jump Diffusion Vertex Edge</a></li>
  85.  *  </ul>
  86.  *
  87.  * @author Lakshmi Krishnamurthy
  88.  */

  89. public class StochasticEdgeJump {
  90.     private boolean _bOccurred = false;
  91.     private double _dblTarget = java.lang.Double.NaN;
  92.     private double _dblHazardRate = java.lang.Double.NaN;
  93.     private double _dblHazardIntegral = java.lang.Double.NaN;

  94.     /**
  95.      * StochasticEdgeJump Constructor
  96.      *
  97.      * @param bOccurred TRUE - The Jump Occurred in this Edge Period
  98.      * @param dblHazardRate The Hazard Rate
  99.      * @param dblHazardIntegral The Level Hazard Integral
  100.      * @param dblTarget The Jump Target
  101.      *
  102.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  103.      */

  104.     public StochasticEdgeJump (
  105.         final boolean bOccurred,
  106.         final double dblHazardRate,
  107.         final double dblHazardIntegral,
  108.         final double dblTarget)
  109.         throws java.lang.Exception
  110.     {
  111.         if (!org.drip.numerical.common.NumberUtil.IsValid (_dblHazardRate = dblHazardRate) ||
  112.             !org.drip.numerical.common.NumberUtil.IsValid (_dblHazardIntegral = dblHazardIntegral) ||
  113.                 !org.drip.numerical.common.NumberUtil.IsValid (_dblTarget = dblTarget))
  114.             throw new java.lang.Exception ("StochasticEdgeJump Constructor => Invalid Inputs");

  115.         _bOccurred = bOccurred;
  116.     }

  117.     /**
  118.      * Retrieve the "Jump Occurred in this Level Period" Flag
  119.      *
  120.      * @return The "Jump Occurred in this Level Period" Flag
  121.      */

  122.     public final boolean jumpOccurred()
  123.     {
  124.         return _bOccurred;
  125.     }

  126.     /**
  127.      * Retrieve the Jump Occurrence Probability Density
  128.      *
  129.      * @return The Jump Occurrence Probability Density
  130.      */

  131.     public final double hazardRate()
  132.     {
  133.         return _dblHazardRate;
  134.     }

  135.     /**
  136.      * Retrieve the Jump Occurrence Hazard Integral
  137.      *
  138.      * @return The Jump Occurrence Hazard Integral
  139.      */

  140.     public final double hazardIntegral()
  141.     {
  142.         return _dblHazardIntegral;
  143.     }

  144.     /**
  145.      * Retrieve the Jump Target Value
  146.      *
  147.      * @return The Jump Target Value
  148.      */

  149.     public final double target()
  150.     {
  151.         return _dblTarget;
  152.     }
  153. }