JumpDiffusionEdgeUnit.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>JumpDiffusionEdgeUnit</i> holds the Jump Diffusion R<sup>d</sup> Unit Edge Realizations.
  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 JumpDiffusionEdgeUnit {
  90.     private double _dblJump = java.lang.Double.NaN;
  91.     private double _dblDiffusion = java.lang.Double.NaN;
  92.     private double _dblTimeIncrement = java.lang.Double.NaN;

  93.     /**
  94.      * Generate a R^1 Uniform Diffusion Realization
  95.      *
  96.      * @param dblTimeIncrement The Time Increment
  97.      *
  98.      * @return The R^1 Uniform Diffusion Realization
  99.      */

  100.     public static final JumpDiffusionEdgeUnit UniformDiffusion (
  101.         final double dblTimeIncrement)
  102.     {
  103.         try {
  104.             return new JumpDiffusionEdgeUnit (dblTimeIncrement, java.lang.Math.random(), 0.);
  105.         } catch (java.lang.Exception e) {
  106.             e.printStackTrace();
  107.         }

  108.         return null;
  109.     }

  110.     /**
  111.      * Generate a R^1 Gaussian Diffusion Realization
  112.      *
  113.      * @param dblTimeIncrement The Time Increment
  114.      *
  115.      * @return The R^1 Gaussian Diffusion Realization
  116.      */

  117.     public static final JumpDiffusionEdgeUnit GaussianDiffusion (
  118.         final double dblTimeIncrement)
  119.     {
  120.         try {
  121.             return new JumpDiffusionEdgeUnit (dblTimeIncrement,
  122.                 org.drip.measure.gaussian.NormalQuadrature.Random(), 0.);
  123.         } catch (java.lang.Exception e) {
  124.             e.printStackTrace();
  125.         }

  126.         return null;
  127.     }

  128.     /**
  129.      * Generate a R^1 Uniform Jump Realization
  130.      *
  131.      * @param dblTimeIncrement The Time Increment
  132.      *
  133.      * @return The R^1 Uniform Jump Realization
  134.      */

  135.     public static final JumpDiffusionEdgeUnit UniformJump (
  136.         final double dblTimeIncrement)
  137.     {
  138.         try {
  139.             return new JumpDiffusionEdgeUnit (dblTimeIncrement, 0., java.lang.Math.random());
  140.         } catch (java.lang.Exception e) {
  141.             e.printStackTrace();
  142.         }

  143.         return null;
  144.     }

  145.     /**
  146.      * Generate a R^1 Gaussian Jump Realization
  147.      *
  148.      * @param dblTimeIncrement The Time Increment
  149.      *
  150.      * @return The R^1 Gaussian Jump Realization
  151.      */

  152.     public static final JumpDiffusionEdgeUnit GaussianJump (
  153.         final double dblTimeIncrement)
  154.     {
  155.         try {
  156.             return new JumpDiffusionEdgeUnit (dblTimeIncrement, 0.,
  157.                 org.drip.measure.gaussian.NormalQuadrature.Random());
  158.         } catch (java.lang.Exception e) {
  159.             e.printStackTrace();
  160.         }

  161.         return null;
  162.     }

  163.     /**
  164.      * Generate an Array of R^1 Diffusion Realizations
  165.      *
  166.      * @param adblTimeIncrement The Array of Time Increments
  167.      * @param adblDiffusionRealization The Array of Diffusion Realizations
  168.      *
  169.      * @return Array of R^1 Diffusion Realizations
  170.      */

  171.     public static final JumpDiffusionEdgeUnit[] Diffusion (
  172.         final double[] adblTimeIncrement,
  173.         final double[] adblDiffusionRealization)
  174.     {
  175.         if (null == adblDiffusionRealization) return null;

  176.         int iSize = adblDiffusionRealization.length;
  177.         JumpDiffusionEdgeUnit[] aJDU = 0 == iSize ? null : new JumpDiffusionEdgeUnit[iSize];

  178.         if (0 == iSize || iSize != adblTimeIncrement.length) return null;

  179.         for (int i = 0; i < iSize; ++i) {
  180.             try {
  181.                 aJDU[i] = new JumpDiffusionEdgeUnit (adblTimeIncrement[i], adblDiffusionRealization[i], 0.);
  182.             } catch (java.lang.Exception e) {
  183.                 e.printStackTrace();

  184.                 return null;
  185.             }
  186.         }

  187.         return aJDU;
  188.     }

  189.     /**
  190.      * Generate an Array of R^1 Jump Realizations
  191.      *
  192.      * @param adblTimeIncrement The Array of Time Increments
  193.      * @param adblJumpRealization The Array of Jump Realizations
  194.      *
  195.      * @return Array of R^1 Jump Realizations
  196.      */

  197.     public static final JumpDiffusionEdgeUnit[] Jump (
  198.         final double[] adblTimeIncrement,
  199.         final double[] adblJumpRealization)
  200.     {
  201.         if (null == adblJumpRealization) return null;

  202.         int iSize = adblJumpRealization.length;
  203.         JumpDiffusionEdgeUnit[] aJDU = 0 == iSize ? null : new JumpDiffusionEdgeUnit[iSize];

  204.         if (0 == iSize || iSize != adblTimeIncrement.length) return null;

  205.         for (int i = 0; i < iSize; ++i) {
  206.             try {
  207.                 aJDU[i] = new JumpDiffusionEdgeUnit (adblTimeIncrement[i], 0., adblJumpRealization[i]);
  208.             } catch (java.lang.Exception e) {
  209.                 e.printStackTrace();

  210.                 return null;
  211.             }
  212.         }

  213.         return aJDU;
  214.     }

  215.     /**
  216.      * Generate an Array of R^1 Jump Diffusion Realizations
  217.      *
  218.      * @param adblTimeIncrement The Array of Time Increments
  219.      * @param adblDiffusionRealization The Array of Diffusion Realizations
  220.      * @param adblJumpRealization The Array of Jump Realizations
  221.      *
  222.      * @return Array of R^1 Jump Diffusion Realizations
  223.      */

  224.     public static final JumpDiffusionEdgeUnit[] JumpDiffusion (
  225.         final double[] adblTimeIncrement,
  226.         final double[] adblDiffusionRealization,
  227.         final double[] adblJumpRealization)
  228.     {
  229.         if (null == adblDiffusionRealization || null == adblJumpRealization) return null;

  230.         int iSize = adblDiffusionRealization.length;
  231.         JumpDiffusionEdgeUnit[] aJDEU = 0 == iSize ? null : new JumpDiffusionEdgeUnit[iSize];

  232.         if (0 == iSize || iSize != adblJumpRealization.length || iSize != adblTimeIncrement.length)
  233.             return null;

  234.         for (int i = 0; i < iSize; ++i) {
  235.             try {
  236.                 aJDEU[i] = new JumpDiffusionEdgeUnit (adblTimeIncrement[i], adblDiffusionRealization[i],
  237.                     adblJumpRealization[i]);
  238.             } catch (java.lang.Exception e) {
  239.                 e.printStackTrace();

  240.                 return null;
  241.             }
  242.         }

  243.         return aJDEU;
  244.     }

  245.     /**
  246.      * JumpDiffusionEdgeUnit Constructor
  247.      *
  248.      * @param dblTimeIncrement The Edge Time Increment
  249.      * @param dblDiffusion The Diffusion Random Variable
  250.      * @param dblJump The Jump Random Variable
  251.      *
  252.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  253.      */

  254.     public JumpDiffusionEdgeUnit (
  255.         final double dblTimeIncrement,
  256.         final double dblDiffusion,
  257.         final double dblJump)
  258.         throws java.lang.Exception
  259.     {
  260.         if (!org.drip.numerical.common.NumberUtil.IsValid (_dblTimeIncrement = dblTimeIncrement) || 0. ==
  261.             _dblTimeIncrement || !org.drip.numerical.common.NumberUtil.IsValid (_dblDiffusion = dblDiffusion) ||
  262.                 !org.drip.numerical.common.NumberUtil.IsValid (_dblJump = dblJump))
  263.             throw new java.lang.Exception ("JumpDiffusionEdgeUnit Constructor => Invalid Inputs");
  264.     }

  265.     /**
  266.      * Retrieve the Edge Time Increment
  267.      *
  268.      * @return The Edge Time Increment
  269.      */

  270.     public double timeIncrement()
  271.     {
  272.         return _dblTimeIncrement;
  273.     }

  274.     /**
  275.      * Retrieve the Diffusion Unit Random Variable
  276.      *
  277.      * @return The Diffusion Unit Random Variable
  278.      */

  279.     public double diffusion()
  280.     {
  281.         return _dblDiffusion;
  282.     }

  283.     /**
  284.      * Retrieve the Jump Unit Random Variable
  285.      *
  286.      * @return The Jump Unit Random Variable
  287.      */

  288.     public double jump()
  289.     {
  290.         return _dblJump;
  291.     }
  292. }