JumpDiffusionEdgeUnit.java
- package org.drip.measure.realization;
- /*
- * -*- 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
- *
- * 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>JumpDiffusionEdgeUnit</i> holds the Jump Diffusion R<sup>d</sup> Unit Edge Realizations.
- *
- * <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/realization/README.md">Stochastic Jump Diffusion Vertex Edge</a></li>
- * </ul>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class JumpDiffusionEdgeUnit {
- private double _dblJump = java.lang.Double.NaN;
- private double _dblDiffusion = java.lang.Double.NaN;
- private double _dblTimeIncrement = java.lang.Double.NaN;
- /**
- * Generate a R^1 Uniform Diffusion Realization
- *
- * @param dblTimeIncrement The Time Increment
- *
- * @return The R^1 Uniform Diffusion Realization
- */
- public static final JumpDiffusionEdgeUnit UniformDiffusion (
- final double dblTimeIncrement)
- {
- try {
- return new JumpDiffusionEdgeUnit (dblTimeIncrement, java.lang.Math.random(), 0.);
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- }
- return null;
- }
- /**
- * Generate a R^1 Gaussian Diffusion Realization
- *
- * @param dblTimeIncrement The Time Increment
- *
- * @return The R^1 Gaussian Diffusion Realization
- */
- public static final JumpDiffusionEdgeUnit GaussianDiffusion (
- final double dblTimeIncrement)
- {
- try {
- return new JumpDiffusionEdgeUnit (dblTimeIncrement,
- org.drip.measure.gaussian.NormalQuadrature.Random(), 0.);
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- }
- return null;
- }
- /**
- * Generate a R^1 Uniform Jump Realization
- *
- * @param dblTimeIncrement The Time Increment
- *
- * @return The R^1 Uniform Jump Realization
- */
- public static final JumpDiffusionEdgeUnit UniformJump (
- final double dblTimeIncrement)
- {
- try {
- return new JumpDiffusionEdgeUnit (dblTimeIncrement, 0., java.lang.Math.random());
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- }
- return null;
- }
- /**
- * Generate a R^1 Gaussian Jump Realization
- *
- * @param dblTimeIncrement The Time Increment
- *
- * @return The R^1 Gaussian Jump Realization
- */
- public static final JumpDiffusionEdgeUnit GaussianJump (
- final double dblTimeIncrement)
- {
- try {
- return new JumpDiffusionEdgeUnit (dblTimeIncrement, 0.,
- org.drip.measure.gaussian.NormalQuadrature.Random());
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- }
- return null;
- }
- /**
- * Generate an Array of R^1 Diffusion Realizations
- *
- * @param adblTimeIncrement The Array of Time Increments
- * @param adblDiffusionRealization The Array of Diffusion Realizations
- *
- * @return Array of R^1 Diffusion Realizations
- */
- public static final JumpDiffusionEdgeUnit[] Diffusion (
- final double[] adblTimeIncrement,
- final double[] adblDiffusionRealization)
- {
- if (null == adblDiffusionRealization) return null;
- int iSize = adblDiffusionRealization.length;
- JumpDiffusionEdgeUnit[] aJDU = 0 == iSize ? null : new JumpDiffusionEdgeUnit[iSize];
- if (0 == iSize || iSize != adblTimeIncrement.length) return null;
- for (int i = 0; i < iSize; ++i) {
- try {
- aJDU[i] = new JumpDiffusionEdgeUnit (adblTimeIncrement[i], adblDiffusionRealization[i], 0.);
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- return null;
- }
- }
- return aJDU;
- }
- /**
- * Generate an Array of R^1 Jump Realizations
- *
- * @param adblTimeIncrement The Array of Time Increments
- * @param adblJumpRealization The Array of Jump Realizations
- *
- * @return Array of R^1 Jump Realizations
- */
- public static final JumpDiffusionEdgeUnit[] Jump (
- final double[] adblTimeIncrement,
- final double[] adblJumpRealization)
- {
- if (null == adblJumpRealization) return null;
- int iSize = adblJumpRealization.length;
- JumpDiffusionEdgeUnit[] aJDU = 0 == iSize ? null : new JumpDiffusionEdgeUnit[iSize];
- if (0 == iSize || iSize != adblTimeIncrement.length) return null;
- for (int i = 0; i < iSize; ++i) {
- try {
- aJDU[i] = new JumpDiffusionEdgeUnit (adblTimeIncrement[i], 0., adblJumpRealization[i]);
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- return null;
- }
- }
- return aJDU;
- }
- /**
- * Generate an Array of R^1 Jump Diffusion Realizations
- *
- * @param adblTimeIncrement The Array of Time Increments
- * @param adblDiffusionRealization The Array of Diffusion Realizations
- * @param adblJumpRealization The Array of Jump Realizations
- *
- * @return Array of R^1 Jump Diffusion Realizations
- */
- public static final JumpDiffusionEdgeUnit[] JumpDiffusion (
- final double[] adblTimeIncrement,
- final double[] adblDiffusionRealization,
- final double[] adblJumpRealization)
- {
- if (null == adblDiffusionRealization || null == adblJumpRealization) return null;
- int iSize = adblDiffusionRealization.length;
- JumpDiffusionEdgeUnit[] aJDEU = 0 == iSize ? null : new JumpDiffusionEdgeUnit[iSize];
- if (0 == iSize || iSize != adblJumpRealization.length || iSize != adblTimeIncrement.length)
- return null;
- for (int i = 0; i < iSize; ++i) {
- try {
- aJDEU[i] = new JumpDiffusionEdgeUnit (adblTimeIncrement[i], adblDiffusionRealization[i],
- adblJumpRealization[i]);
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- return null;
- }
- }
- return aJDEU;
- }
- /**
- * JumpDiffusionEdgeUnit Constructor
- *
- * @param dblTimeIncrement The Edge Time Increment
- * @param dblDiffusion The Diffusion Random Variable
- * @param dblJump The Jump Random Variable
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- */
- public JumpDiffusionEdgeUnit (
- final double dblTimeIncrement,
- final double dblDiffusion,
- final double dblJump)
- throws java.lang.Exception
- {
- if (!org.drip.numerical.common.NumberUtil.IsValid (_dblTimeIncrement = dblTimeIncrement) || 0. ==
- _dblTimeIncrement || !org.drip.numerical.common.NumberUtil.IsValid (_dblDiffusion = dblDiffusion) ||
- !org.drip.numerical.common.NumberUtil.IsValid (_dblJump = dblJump))
- throw new java.lang.Exception ("JumpDiffusionEdgeUnit Constructor => Invalid Inputs");
- }
- /**
- * Retrieve the Edge Time Increment
- *
- * @return The Edge Time Increment
- */
- public double timeIncrement()
- {
- return _dblTimeIncrement;
- }
- /**
- * Retrieve the Diffusion Unit Random Variable
- *
- * @return The Diffusion Unit Random Variable
- */
- public double diffusion()
- {
- return _dblDiffusion;
- }
- /**
- * Retrieve the Jump Unit Random Variable
- *
- * @return The Jump Unit Random Variable
- */
- public double jump()
- {
- return _dblJump;
- }
- }