ParabolicDifferentialOperator.java

  1. package org.drip.xva.pde;

  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>ParabolicDifferentialOperator</i> sets up the Parabolic Differential Equation based on the Ito
  78.  * Evolution Differential for the Reference Underlier Asset, as laid out in Burgard and Kjaer (2014). The
  79.  * References are:
  80.  *
  81.  *  <br><br>
  82.  *  <ul>
  83.  *      <li>
  84.  *          Burgard, C., and M. Kjaer (2014): PDE Representations of Derivatives with Bilateral Counter-party
  85.  *              Risk and Funding Costs <i>Journal of Credit Risk</i> <b>7 (3)</b> 1-19
  86.  *      </li>
  87.  *      <li>
  88.  *          Cesari, G., J. Aquilina, N. Charpillon, X. Filipovic, G. Lee, and L. Manda (2009): <i>Modeling,
  89.  *              Pricing, and Hedging Counter-party Credit Exposure - A Technical Guide</i> <b>Springer
  90.  *              Finance</b> New York
  91.  *      </li>
  92.  *      <li>
  93.  *          Gregory, J. (2009): Being Two-faced over Counter-party Credit Risk <i>Risk</i> <b>20 (2)</b>
  94.  *              86-90
  95.  *      </li>
  96.  *      <li>
  97.  *          Li, B., and Y. Tang (2007): <i>Quantitative Analysis, Derivatives Modeling, and Trading
  98.  *              Strategies in the Presence of Counter-party Credit Risk for the Fixed Income Market</i>
  99.  *              <b>World Scientific Publishing</b> Singapore
  100.  *      </li>
  101.  *      <li>
  102.  *          Piterbarg, V. (2010): Funding Beyond Discounting: Collateral Agreements and Derivatives Pricing
  103.  *              <i>Risk</i> <b>21 (2)</b> 97-102
  104.  *      </li>
  105.  *  </ul>
  106.  *
  107.  *  <br><br>
  108.  *  <ul>
  109.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
  110.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/XVAAnalyticsLibrary.md">XVA Analytics Library</a></li>
  111.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/xva/README.md">Valuation Adjustments that account for Collateral, CC Credit/Debt and Funding Overhead</a></li>
  112.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/xva/pde/README.md">Burgard Kjaer PDE Evolution Scheme</a></li>
  113.  *  </ul>
  114.  * <br><br>
  115.  *
  116.  * @author Lakshmi Krishnamurthy
  117.  */

  118. public class ParabolicDifferentialOperator
  119. {
  120.     private org.drip.exposure.evolver.PrimarySecurity _tradeable = null;

  121.     /**
  122.      * ParabolicDifferentialOperator Constructor
  123.      *
  124.      * @param tradeable The Tradeable Position
  125.      *
  126.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  127.      */

  128.     public ParabolicDifferentialOperator (
  129.         final org.drip.exposure.evolver.PrimarySecurity tradeable)
  130.         throws java.lang.Exception
  131.     {
  132.         if (null == (_tradeable = tradeable))
  133.         {
  134.             throw new java.lang.Exception ("ParabolicDifferentialOperator Constructor => Invalid Inputs");
  135.         }
  136.     }

  137.     /**
  138.      * Retrieve the Tradeable Position
  139.      *
  140.      * @return The Tradeable Position
  141.      */

  142.     public org.drip.exposure.evolver.PrimarySecurity asset()
  143.     {
  144.         return _tradeable;
  145.     }

  146.     /**
  147.      * Compute the Theta for the Derivative from the Asset Edge Value
  148.      *
  149.      * @param evolutionTrajectoryVertex The Derivative's Evolution Trajectory Vertex
  150.      * @param positionValueVertex The Position Value Vertex
  151.      *
  152.      * @return The Theta
  153.      *
  154.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  155.      */

  156.     public double theta (
  157.         final org.drip.xva.derivative.EvolutionTrajectoryVertex evolutionTrajectoryVertex,
  158.         final double positionValueVertex)
  159.         throws java.lang.Exception
  160.     {
  161.         if (null == evolutionTrajectoryVertex ||
  162.             !org.drip.numerical.common.NumberUtil.IsValid (positionValueVertex))
  163.         {
  164.             throw new java.lang.Exception ("ParabolicDifferentialOperator::theta => Invalid Inputs");
  165.         }

  166.         org.drip.xva.derivative.PositionGreekVertex positionGreekVertex =
  167.             evolutionTrajectoryVertex.positionGreekVertex();

  168.         double volatility = _tradeable.evolver().evaluator().volatility().value (
  169.             new org.drip.measure.realization.JumpDiffusionVertex (
  170.                 evolutionTrajectoryVertex.time(),
  171.                 positionValueVertex,
  172.                 0.,
  173.                 false
  174.             )
  175.         );

  176.         return
  177.             0.5 * volatility * volatility * positionValueVertex * positionValueVertex *
  178.                 positionGreekVertex.derivativeXVAValueGamma() -
  179.             _tradeable.cashAccumulationRate() * positionValueVertex *
  180.                 positionGreekVertex.derivativeXVAValueDelta();
  181.     }

  182.     /**
  183.      * Compute the Up/Down Thetas
  184.      *  
  185.      * @param evolutionTrajectoryVertex The Derivative's Evolution Trajectory Vertex
  186.      * @param positionValueVertex The Asset Numeraire Vertex Value
  187.      * @param shift The Amount to Shift the Reference Underlier Numeraire By
  188.      *
  189.      * @return The Array of the Up/Down Thetas
  190.      */

  191.     public double[] thetaUpDown (
  192.         final org.drip.xva.derivative.EvolutionTrajectoryVertex evolutionTrajectoryVertex,
  193.         final double positionValueVertex,
  194.         final double shift)
  195.     {
  196.         if (null == evolutionTrajectoryVertex ||
  197.             !org.drip.numerical.common.NumberUtil.IsValid (positionValueVertex) ||
  198.             !org.drip.numerical.common.NumberUtil.IsValid (shift))
  199.         {
  200.             return null;
  201.         }

  202.         org.drip.xva.derivative.PositionGreekVertex positionGreekVertex =
  203.             evolutionTrajectoryVertex.positionGreekVertex();

  204.         double positionValueVertexDown = positionValueVertex - shift;
  205.         double positionValueVertexUp = positionValueVertex + shift;
  206.         double volatility = java.lang.Double.NaN;

  207.         try
  208.         {
  209.             volatility = _tradeable.evolver().evaluator().volatility().value (
  210.                 new org.drip.measure.realization.JumpDiffusionVertex (
  211.                     evolutionTrajectoryVertex.time(),
  212.                     positionValueVertex,
  213.                     0.,
  214.                     false
  215.                 )
  216.             );
  217.         }
  218.         catch (java.lang.Exception e)
  219.         {
  220.             e.printStackTrace();

  221.             return null;
  222.         }

  223.         double gammaCoefficient = 0.5 * volatility * volatility *
  224.             positionGreekVertex.derivativeXVAValueGamma();

  225.         double deltaCoefficient = -1. * _tradeable.cashAccumulationRate() *
  226.             positionGreekVertex.derivativeXVAValueDelta();

  227.         return new double[]
  228.         {
  229.             gammaCoefficient * positionValueVertexDown * positionValueVertexDown + deltaCoefficient *
  230.                 positionValueVertexDown,
  231.             gammaCoefficient * positionValueVertex * positionValueVertex + deltaCoefficient *
  232.                 positionValueVertex,
  233.             gammaCoefficient * positionValueVertexUp * positionValueVertexUp + deltaCoefficient *
  234.                 positionValueVertexUp
  235.         };
  236.     }
  237. }