AlmgrenLinearTradingEnhanced.java

  1. package org.drip.sample.execution;

  3. import org.drip.execution.capture.TrajectoryShortfallEstimator;
  4. import org.drip.execution.dynamics.*;
  5. import org.drip.execution.impact.ParticipationRateLinear;
  6. import org.drip.execution.nonadaptive.*;
  7. import org.drip.execution.optimum.*;
  8. import org.drip.execution.profiletime.UniformParticipationRateLinear;
  9. import org.drip.execution.risk.MeanVarianceObjectiveUtility;
  10. import org.drip.execution.strategy.*;
  11. import org.drip.measure.gaussian.R1UnivariateNormal;
  12. import org.drip.numerical.common.FormatUtil;
  13. import org.drip.service.env.EnvManager;

  15. /*
  16.  * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
  17.  */

  19. /*!
  20.  * Copyright (C) 2019 Lakshmi Krishnamurthy
  21.  * Copyright (C) 2018 Lakshmi Krishnamurthy
  22.  * Copyright (C) 2017 Lakshmi Krishnamurthy
  23.  * Copyright (C) 2016 Lakshmi Krishnamurthy
  24.  * 
  25.  *  This file is part of DROP, an open-source library targeting risk, transaction costs, exposure, margin
  26.  *      calculations, valuation adjustment, and portfolio construction within and across fixed income,
  27.  *      credit, commodity, equity, FX, and structured products.
  28.  *  
  29.  *      https://lakshmidrip.github.io/DROP/
  30.  *  
  31.  *  DROP is composed of three modules:
  32.  *  
  33.  *  - DROP Analytics Core - https://lakshmidrip.github.io/DROP-Analytics-Core/
  34.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  35.  *  - DROP Numerical Core - https://lakshmidrip.github.io/DROP-Numerical-Core/
  36.  * 
  37.  *  DROP Analytics Core implements libraries for the following:
  38.  *  - Fixed Income Analytics
  39.  *  - Asset Backed Analytics
  40.  *  - XVA Analytics
  41.  *  - Exposure and Margin Analytics
  42.  * 
  43.  *  DROP Portfolio Core implements libraries for the following:
  44.  *  - Asset Allocation Analytics
  45.  *  - Transaction Cost Analytics
  46.  * 
  47.  *  DROP Numerical Core implements libraries for the following:
  48.  *  - Statistical Learning
  49.  *  - Numerical Optimizer
  50.  *  - Spline Builder
  51.  *  - Algorithm Support
  52.  * 
  53.  *  Documentation for DROP is Spread Over:
  54.  * 
  55.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  56.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  57.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  58.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  59.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  60.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  61.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  62.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  63.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  64.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  65.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  66.  * 
  67.  *  Licensed under the Apache License, Version 2.0 (the "License");
  68.  *      you may not use this file except in compliance with the License.
  69.  *   
  70.  *  You may obtain a copy of the License at
  71.  *      http://www.apache.org/licenses/LICENSE-2.0
  72.  *  
  73.  *  Unless required by applicable law or agreed to in writing, software
  74.  *      distributed under the License is distributed on an "AS IS" BASIS,
  75.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  76.  *  
  77.  *  See the License for the specific language governing permissions and
  78.  *      limitations under the License.
  79.  */

  81. /**
  82.  * <i>AlmgrenLinearTradingEnhanced</i> demonstrates the Generation of the Optimal Trading Trajectory under
  83.  * the Condition of Linear Trading Enhanced Volatility using a Numerical Optimization Technique. The
  84.  * References are:
  85.  * 
  86.  * <br><br>
  87.  *  <ul>
  88.  *      <li>
  89.  *          Almgren, R., and N. Chriss (1999): Value under Liquidation <i>Risk</i> <b>12 (12)</b>
  90.  *      </li>
  91.  *      <li>
  92.  *          Almgren, R., and N. Chriss (2000): Optimal Execution of Portfolio Transactions <i>Journal of
  93.  *              Risk</i> <b>3 (2)</b> 5-39
  94.  *      </li>
  95.  *      <li>
  96.  *          Almgren, R. (2003): Optimal Execution with Nonlinear Impact Functions and Trading-Enhanced Risk
  97.  *              <i>Applied Mathematical Finance</i> <b>10 (1)</b> 1-18
  98.  *      </li>
  99.  *      <li>
  100.  *          Almgren, R., and N. Chriss (2003): Bidding Principles <i>Risk</i> 97-102
  101.  *      </li>
  102.  *      <li>
  103.  *          Bertsimas, D., and A. W. Lo (1998): Optimal Control of Execution Costs <i>Journal of Financial
  104.  *              Markets</i> <b>1</b> 1-50
  105.  *      </li>
  106.  *  </ul>
  107.  * 
  108.  * <br><br>
  109.  *  <ul>
  110.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
  111.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/TransactionCostAnalyticsLibrary.md">Transaction Cost Analytics Library</a></li>
  112.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sample/README.md">Sample</a></li>
  113.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sample/execution/README.md">Execution</a></li>
  114.  *  </ul>
  115.  * <br><br>
  116.  * 
  117.  * @author Lakshmi Krishnamurthy
  118.  */

  120. public class AlmgrenLinearTradingEnhanced {

  122.     public static final void main (
  123.         final String[] astrArgs)
  124.         throws Exception
  125.     {
  126.         EnvManager.InitEnv ("");

  128.         double dblEta = 5.e-06;
  129.         double dblBeta = 2.e-06;
  130.         double dblSigma = 1.;
  131.         double dblLambda = 1.e-05;

  133.         double dblX = 100000.;
  134.         double dblT = 5.;
  135.         int iNumInterval = 20;

  137.         DiscreteTradingTrajectoryControl dttc = DiscreteTradingTrajectoryControl.FixedInterval (
  138.             new OrderSpecification (
  139.                 dblX,
  140.                 dblT
  141.             ),
  142.             iNumInterval
  143.         );

  145.         ArithmeticPriceEvolutionParameters apep = ArithmeticPriceEvolutionParametersBuilder.TradingEnhancedVolatility (
  146.             dblSigma,
  147.             new UniformParticipationRateLinear (ParticipationRateLinear.SlopeOnly (dblEta)),
  148.             new UniformParticipationRateLinear (
  149.                 new ParticipationRateLinear (
  150.                     0.,
  151.                     dblBeta
  152.                 )
  153.             )
  154.         );

  156.         EfficientTradingTrajectoryDiscrete ettd = (EfficientTradingTrajectoryDiscrete) new StaticOptimalSchemeDiscrete (
  157.             dttc,
  158.             apep,
  159.             new MeanVarianceObjectiveUtility (dblLambda)
  160.         ).generate();

  162.         double[] adblExecutionTimeNode = ettd.executionTimeNode();

  164.         double[] adblTradeList = ettd.tradeList();

  166.         double[] adblHoldings = ettd.holdings();

  168.         DiscreteLinearTradingEnhanced dlte = DiscreteLinearTradingEnhanced.Standard (
  169.             dblX,
  170.             dblT,
  171.             iNumInterval,
  172.             apep,
  173.             dblLambda
  174.         );

  176.         TradingEnhancedDiscrete ted = (TradingEnhancedDiscrete) dlte.generate();

  178.         double[] adblTradeListCF = ted.tradeList();

  180.         double[] adblHoldingsCF = ted.holdings();

  182.         TrajectoryShortfallEstimator tse = new TrajectoryShortfallEstimator (ettd);

  184.         R1UnivariateNormal r1un = tse.totalCostDistributionSynopsis (apep);

  186.         System.out.println ("\n\t|------------------------------------------------||");

  188.         System.out.println ("\t| NUMERICAL - CLOSED FORM CONTINUOUS TRAJECTORY  ||");

  190.         System.out.println ("\t|------------------------------------------------||");

  192.         System.out.println ("\t|    L -> R:                                     ||");

  194.         System.out.println ("\t|          - Execution Time Node                 ||");

  196.         System.out.println ("\t|          - Holdings (Numerical)                ||");

  198.         System.out.println ("\t|          - Holdings (Continuous Closed Form)   ||");

  200.         System.out.println ("\t|          - Trade List (Numerical)              ||");

  202.         System.out.println ("\t|          - Trade List (Continuous Closed Form) ||");

  204.         System.out.println ("\t|------------------------------------------------||");

  206.         for (int i = 1; i < adblExecutionTimeNode.length; ++i) {
  207.             System.out.println ("\t| " +
  208.                 FormatUtil.FormatDouble (adblExecutionTimeNode[i], 1, 2, 1.) + " => " +
  209.                 FormatUtil.FormatDouble (adblHoldings[i] / dblX, 2, 2, 100.) + "% | " +
  210.                 FormatUtil.FormatDouble (adblHoldingsCF[i] / dblX, 2, 2, 100.) + "% | " +
  211.                 FormatUtil.FormatDouble (adblTradeList[i - 1] / dblX, 2, 2, 100.) + "% | " +
  212.                 FormatUtil.FormatDouble (adblTradeListCF[i - 1] / dblX, 2, 2, 100.) + "% ||"
  213.             );
  214.         }

  216.         System.out.println ("\t|------------------------------------------------||");

  218.         System.out.println ("\n\t|--------------------------------------------------------------------------||");

  220.         System.out.println ("\t|  TRANSACTION COST RECONCILIATION: EXPLICIT vs. NUMERICAL vs. CLOSED FORM ||");

  222.         System.out.println ("\t|--------------------------------------------------------------------------||");

  224.         System.out.println (
  225.             "\t| Transaction Cost Expectation         : " +
  226.             FormatUtil.FormatDouble (r1un.mean(), 6, 1, 1.) + " | " +
  227.             FormatUtil.FormatDouble (ettd.transactionCostExpectation(), 6, 1, 1.) + " | " +
  228.             FormatUtil.FormatDouble (ted.transactionCostExpectation(), 6, 1, 1.) + " ||"
  229.         );

  231.         System.out.println (
  232.             "\t| Transaction Cost Variance (X 10^-06) : " +
  233.             FormatUtil.FormatDouble (r1un.variance(), 6, 1, 1.e-06) + " | " +
  234.             FormatUtil.FormatDouble (ettd.transactionCostVariance(), 6, 1, 1.e-06) + " | " +
  235.             FormatUtil.FormatDouble (ted.transactionCostVariance(), 6, 1, 1.e-06) + " ||"
  236.         );

  238.         System.out.println ("\t|--------------------------------------------------------------------------||");

  240.         EnvManager.TerminateEnv();
  241.     }
  242. }
Created with JaCoCo 0.7.9.201702052155