TradingEnhancedDiscrete.java

  1. package org.drip.execution.optimum;

  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>TradingEnhancedDiscrete</i> contains the Trading Trajectory generated by one of the Methods outlined in
  79.  * the Almgren (2003) Scheme for Continuous Trading Approximation for Linear Trading Enhanced Temporary
  80.  * Impact Volatility. The References are:
  81.  *
  82.  * <br><br>
  83.  *  <ul>
  84.  *      <li>
  85.  *          Almgren, R., and N. Chriss (1999): Value under Liquidation <i>Risk</i> <b>12 (12)</b>
  86.  *      </li>
  87.  *      <li>
  88.  *          Almgren, R., and N. Chriss (2000): Optimal Execution of Portfolio Transactions <i>Journal of
  89.  *              Risk</i> <b>3 (2)</b> 5-39
  90.  *      </li>
  91.  *      <li>
  92.  *          Bertsimas, D., and A. W. Lo (1998): Optimal Control of Execution Costs <i>Journal of Financial
  93.  *              Markets</i> <b>1</b> 1-50
  94.  *      </li>
  95.  *      <li>
  96.  *          Chan, L. K. C., and J. Lakonishak (1995): The Behavior of Stock Prices around Institutional
  97.  *              Trades <i>Journal of Finance</i> <b>50</b> 1147-1174
  98.  *      </li>
  99.  *      <li>
  100.  *          Keim, D. B., and A. Madhavan (1997): Transaction Costs and Investment Style: An Inter-exchange
  101.  *              Analysis of Institutional Equity Trades <i>Journal of Financial Economics</i> <b>46</b>
  102.  *              265-292
  103.  *      </li>
  104.  *  </ul>
  105.  *
  106.  *  <br><br>
  107.  *  <ul>
  108.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
  109.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/TransactionCostAnalyticsLibrary.md">Transaction Cost Analytics</a></li>
  110.  *      <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>
  111.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/execution/optimum/README.md">Almgren-Chriss Efficient Trading Trajectories</a></li>
  112.  *  </ul>
  113.  *
  114.  * @author Lakshmi Krishnamurthy
  115.  */

  116. public class TradingEnhancedDiscrete extends org.drip.execution.optimum.EfficientTradingTrajectoryDiscrete {
  117.     private double _dblCharacteristicSize = java.lang.Double.NaN;
  118.     private double _dblCharacteristicTime = java.lang.Double.NaN;

  119.     /**
  120.      * Construct a Standard TradingEnhancedDiscrete Instance
  121.      *
  122.      * @param dtt The Trading Trajectory
  123.      * @param apep The Arithmetic Price Walk Evolution Parameters
  124.      * @param dblCharacteristicTime The Optimal Trajectory's "Characteristic" Time
  125.      * @param dblCharacteristicSize The Optimal Trajectory's "Characteristic" Size
  126.      *
  127.      * @return The TradingEnhancedDiscrete Instance
  128.      */

  129.     public static TradingEnhancedDiscrete Standard (
  130.         final org.drip.execution.strategy.DiscreteTradingTrajectory dtt,
  131.         final org.drip.execution.dynamics.ArithmeticPriceEvolutionParameters apep,
  132.         final double dblCharacteristicTime,
  133.         final double dblCharacteristicSize)
  134.     {
  135.         if (null == dtt || null == apep) return null;

  136.         try {
  137.             org.drip.measure.gaussian.R1UnivariateNormal r1un = (new
  138.                 org.drip.execution.capture.TrajectoryShortfallEstimator (dtt)).totalCostDistributionSynopsis
  139.                     (apep);

  140.             return null == r1un ? null : new TradingEnhancedDiscrete (dtt.executionTimeNode(),
  141.                 dtt.holdings(), dtt.tradeList(), r1un.mean(), r1un.variance(), dblCharacteristicTime,
  142.                     dblCharacteristicSize, apep.temporaryExpectation().epochImpactFunction().evaluate
  143.                         (dtt.instantTradeRate()) / (apep.arithmeticPriceDynamicsSettings().epochVolatility()
  144.                             * java.lang.Math.sqrt (dtt.executionTime())));
  145.         } catch (java.lang.Exception e) {
  146.             e.printStackTrace();
  147.         }

  148.         return null;
  149.     }

  150.     /**
  151.      * TradingEnhancedDiscrete Constructor
  152.      *
  153.      * @param adblExecutionTimeNode Array containing the Trajectory Time Nodes
  154.      * @param adblHoldings Array containing the Holdings
  155.      * @param adblTradeList Array containing the Trade List
  156.      * @param dblTransactionCostExpectation The Expected Transaction Cost
  157.      * @param dblTransactionCostVariance The Variance of the Transaction Cost
  158.      * @param dblCharacteristicTime The Optimal Trajectory's "Characteristic" Time
  159.      * @param dblCharacteristicSize The Optimal Trajectory's "Characteristic" Size
  160.      * @param dblMarketPower Estimate of the Relative Market Impact Power
  161.      *
  162.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  163.      */

  164.     public TradingEnhancedDiscrete (
  165.         final double[] adblExecutionTimeNode,
  166.         final double[] adblHoldings,
  167.         final double[] adblTradeList,
  168.         final double dblTransactionCostExpectation,
  169.         final double dblTransactionCostVariance,
  170.         final double dblCharacteristicTime,
  171.         final double dblCharacteristicSize,
  172.         final double dblMarketPower)
  173.         throws java.lang.Exception
  174.     {
  175.         super (adblExecutionTimeNode, adblHoldings, adblTradeList, dblTransactionCostExpectation,
  176.             dblTransactionCostVariance, dblMarketPower);

  177.         if (!org.drip.numerical.common.NumberUtil.IsValid (_dblCharacteristicTime = dblCharacteristicTime) ||
  178.             !org.drip.numerical.common.NumberUtil.IsValid (_dblCharacteristicSize = dblCharacteristicSize))
  179.             throw new java.lang.Exception ("TradingEnhancedDiscrete Constructor => Invalid Inputs");
  180.     }

  181.     /**
  182.      * Retrieve the Optimal Trajectory Characteristic Size
  183.      *
  184.      * @return The Optimal Trajectory Characteristic Size
  185.      */

  186.     public double characteristicSize()
  187.     {
  188.         return _dblCharacteristicSize;
  189.     }

  190.     /**
  191.      * Retrieve the Optimal Trajectory Characteristic Time
  192.      *
  193.      * @return The Optimal Trajectory Characteristic Time
  194.      */

  195.     public double characteristicTime()
  196.     {
  197.         return _dblCharacteristicTime;
  198.     }
  199. }