ShortfallIncrementDistribution.java

  1. package org.drip.execution.discrete;

  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.  * Copyright (C) 2016 Lakshmi Krishnamurthy
  11.  *
  12.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  13.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  14.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  15.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  16.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  17.  *      and computational support.
  18.  *  
  19.  *      https://lakshmidrip.github.io/DROP/
  20.  *  
  21.  *  DROP is composed of three modules:
  22.  *  
  23.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  24.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  25.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  26.  *
  27.  *  DROP Product Core implements libraries for the following:
  28.  *  - Fixed Income Analytics
  29.  *  - Loan Analytics
  30.  *  - Transaction Cost Analytics
  31.  *
  32.  *  DROP Portfolio Core implements libraries for the following:
  33.  *  - Asset Allocation Analytics
  34.  *  - Asset Liability Management Analytics
  35.  *  - Capital Estimation Analytics
  36.  *  - Exposure Analytics
  37.  *  - Margin Analytics
  38.  *  - XVA Analytics
  39.  *
  40.  *  DROP Computational Core implements libraries for the following:
  41.  *  - Algorithm Support
  42.  *  - Computation Support
  43.  *  - Function Analysis
  44.  *  - Model Validation
  45.  *  - Numerical Analysis
  46.  *  - Numerical Optimizer
  47.  *  - Spline Builder
  48.  *  - Statistical Learning
  49.  *
  50.  *  Documentation for DROP is Spread Over:
  51.  *
  52.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  53.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  54.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  55.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  56.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  57.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  58.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  59.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  60.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  61.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  62.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  63.  *
  64.  *  Licensed under the Apache License, Version 2.0 (the "License");
  65.  *      you may not use this file except in compliance with the License.
  66.  *  
  67.  *  You may obtain a copy of the License at
  68.  *      http://www.apache.org/licenses/LICENSE-2.0
  69.  *  
  70.  *  Unless required by applicable law or agreed to in writing, software
  71.  *      distributed under the License is distributed on an "AS IS" BASIS,
  72.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  73.  *  
  74.  *  See the License for the specific language governing permissions and
  75.  *      limitations under the License.
  76.  */

  77. /**
  78.  * <i>ShortfallIncrementDistribution</i> holds the Parameters of the R<sup>1</sup> Normal Short fall
  79.  * Increment Distribution. The References are:
  80.  *
  81.  * <br><br>
  82.  *  <ul>
  83.  *      <li>
  84.  *          Almgren, R., and N. Chriss (1999): Value under Liquidation <i>Risk</i> <b>12 (12)</b>
  85.  *      </li>
  86.  *      <li>
  87.  *          Almgren, R., and N. Chriss (2000): Optimal Execution of Portfolio Transactions <i>Journal of
  88.  *              Risk</i> <b>3 (2)</b> 5-39
  89.  *      </li>
  90.  *      <li>
  91.  *          Bertsimas, D., and A. W. Lo (1998): Optimal Control of Execution Costs <i>Journal of Financial
  92.  *              Markets</i> <b>1</b> 1-50
  93.  *      </li>
  94.  *      <li>
  95.  *          Chan, L. K. C., and J. Lakonishak (1995): The Behavior of Stock Prices around Institutional
  96.  *              Trades <i>Journal of Finance</i> <b>50</b> 1147-1174
  97.  *      </li>
  98.  *      <li>
  99.  *          Keim, D. B., and A. Madhavan (1997): Transaction Costs and Investment Style: An Inter-exchange
  100.  *              Analysis of Institutional Equity Trades <i>Journal of Financial Economics</i> <b>46</b>
  101.  *              265-292
  102.  *      </li>
  103.  *  </ul>
  104.  *
  105.  *  <br><br>
  106.  *  <ul>
  107.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
  108.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/TransactionCostAnalyticsLibrary.md">Transaction Cost Analytics</a></li>
  109.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/execution/README.md">Optimal Impact/Capture Based Trading Trajectories - Deterministic, Stochastic, Static, and Dynamic</a></li>
  110.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/execution/discrete/README.md">Trajectory Slice Execution Cost Distribution</a></li>
  111.  *  </ul>
  112.  *
  113.  * @author Lakshmi Krishnamurthy
  114.  */

  115. public class ShortfallIncrementDistribution extends org.drip.measure.gaussian.R1UnivariateNormal {
  116.     public double _dblMarketDynamicVariance = java.lang.Double.NaN;
  117.     public double _dblPermanentImpactVariance = java.lang.Double.NaN;
  118.     public double _dblTemporaryImpactVariance = java.lang.Double.NaN;
  119.     public double _dblMarketDynamicExpectation = java.lang.Double.NaN;
  120.     public double _dblPermanentImpactExpectation = java.lang.Double.NaN;
  121.     public double _dblTemporaryImpactExpectation = java.lang.Double.NaN;

  122.     /**
  123.      * ShortfallIncrementDistribution Constructor
  124.      *
  125.      * @param dblPermanentImpactExpectation The Permanent Market Impact Expectation Component
  126.      * @param dblTemporaryImpactExpectation The Temporary Market Impact Expectation Component
  127.      * @param dblMarketDynamicExpectation The Market Dynamics Expectation Component
  128.      * @param dblPermanentImpactVariance The Permanent Market Impact Variance Component
  129.      * @param dblTemporaryImpactVariance The Temporary Market Impact Variance Component
  130.      * @param dblMarketDynamicVariance The Market Dynamics Variance Component
  131.      *
  132.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  133.      */

  134.     public ShortfallIncrementDistribution (
  135.         final double dblPermanentImpactExpectation,
  136.         final double dblTemporaryImpactExpectation,
  137.         final double dblMarketDynamicExpectation,
  138.         final double dblPermanentImpactVariance,
  139.         final double dblTemporaryImpactVariance,
  140.         final double dblMarketDynamicVariance)
  141.         throws java.lang.Exception
  142.     {
  143.         super (dblPermanentImpactExpectation + dblTemporaryImpactExpectation + dblMarketDynamicExpectation,
  144.             java.lang.Math.sqrt (dblPermanentImpactVariance + dblTemporaryImpactVariance +
  145.                 dblMarketDynamicVariance));

  146.         _dblPermanentImpactExpectation = dblPermanentImpactExpectation;
  147.         _dblTemporaryImpactExpectation = dblTemporaryImpactExpectation;
  148.         _dblMarketDynamicExpectation = dblMarketDynamicExpectation;
  149.         _dblPermanentImpactVariance = dblPermanentImpactVariance;
  150.         _dblTemporaryImpactVariance = dblTemporaryImpactVariance;
  151.         _dblMarketDynamicVariance = dblMarketDynamicVariance;
  152.     }

  153.     /**
  154.      * Retrieve the Total Expectation
  155.      *
  156.      * @return The Total Expectation
  157.      */

  158.     public double expectation()
  159.     {
  160.         return mean();
  161.     }

  162.     /**
  163.      * Retrieve the Market Dynamic Expectation Component
  164.      *
  165.      * @return The Market Dynamic Expectation Component
  166.      */

  167.     public double marketDynamicExpectation()
  168.     {
  169.         return _dblMarketDynamicExpectation;
  170.     }

  171.     /**
  172.      * Retrieve the Market Dynamic Variance Component
  173.      *
  174.      * @return The Market Dynamic Variance Component
  175.      */

  176.     public double marketDynamicVariance()
  177.     {
  178.         return _dblMarketDynamicVariance;
  179.     }

  180.     /**
  181.      * Retrieve the Permanent Market Impact Expectation Component
  182.      *
  183.      * @return The Permanent Market Impact Expectation Component
  184.      */

  185.     public double permanentImpactExpectation()
  186.     {
  187.         return _dblPermanentImpactExpectation;
  188.     }

  189.     /**
  190.      * Retrieve the Permanent Market Impact Variance Component
  191.      *
  192.      * @return The Permanent Market Impact Variance Component
  193.      */

  194.     public double permanentImpactVariance()
  195.     {
  196.         return _dblPermanentImpactVariance;
  197.     }

  198.     /**
  199.      * Retrieve the Temporary Market Impact Expectation Component
  200.      *
  201.      * @return The Temporary Market Impact Expectation Component
  202.      */

  203.     public double temporaryImpactExpectation()
  204.     {
  205.         return _dblTemporaryImpactExpectation;
  206.     }

  207.     /**
  208.      * Retrieve the Temporary Market Impact Variance Component
  209.      *
  210.      * @return The Temporary Market Impact Variance Component
  211.      */

  212.     public double temporaryImpactVariance()
  213.     {
  214.         return _dblTemporaryImpactVariance;
  215.     }
  216. }