EfficientTradingTrajectoryContinuous.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>EfficientTradingTrajectoryContinuous</i> contains the Efficient Trading Trajectory generated by one of
  79.  * the Methods outlined in the Almgren (2003) Scheme for Continuous Trading Approximation. The References
  80.  * 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. F., 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.  *          Almgren, R. (2003): Optimal Execution with Nonlinear Impact Functions and Trading-Enhanced Risk
  93.  *              <i>Applied Mathematical Finance</i> <b>10 (1)</b> 1-18
  94.  *      </li>
  95.  *      <li>
  96.  *          Almgren, R., and N. Chriss (2003): Bidding Principles <i>Risk</i> 97-102
  97.  *      </li>
  98.  *      <li>
  99.  *          Bertsimas, D., and A. W. Lo (1998): Optimal Control of Execution Costs <i>Journal of Financial
  100.  *              Markets</i> <b>1</b> 1-50
  101.  *      </li>
  102.  *  </ul>
  103.  *
  104.  *  <br><br>
  105.  *  <ul>
  106.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
  107.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/TransactionCostAnalyticsLibrary.md">Transaction Cost Analytics</a></li>
  108.  *      <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>
  109.  *      <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>
  110.  *  </ul>
  111.  *
  112.  * @author Lakshmi Krishnamurthy
  113.  */

  114. public class EfficientTradingTrajectoryContinuous extends
  115.     org.drip.execution.strategy.ContinuousTradingTrajectory implements
  116.         org.drip.execution.optimum.EfficientTradingTrajectory {
  117.     private double _dblMarketPower = java.lang.Double.NaN;
  118.     private double _dblCharacteristicTime = java.lang.Double.NaN;
  119.     private double _dblTransactionCostVariance = java.lang.Double.NaN;
  120.     private double _dblTransactionCostExpectation = java.lang.Double.NaN;

  121.     /**
  122.      * EfficientTradingTrajectoryContinuous Constructor
  123.      *
  124.      * @param dblExecutionTime The Execution Time
  125.      * @param dblTransactionCostExpectation The Expected Transaction Cost
  126.      * @param dblTransactionCostVariance The Variance of the Transaction Cost
  127.      * @param dblCharacteristicTime The Optimal Trajectory's "Characteristic" Time
  128.      * @param dblMarketPower The Dimension-less Relative Market Impact
  129.      * @param r1ToR1Holdings The Optimal Trajectory R^1 To R^1 Holdings Function
  130.      * @param r1ToR1TradeRate The Optimal Trajectory R^1 To R^1 Trade Rate Function
  131.      * @param r1ToR1TransactionCostExpectation The Transaction Cost Expectation Function
  132.      * @param r1ToR1TransactionCostVariance The Transaction Cost Variance Function
  133.      *
  134.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  135.      */

  136.     public EfficientTradingTrajectoryContinuous (
  137.         final double dblExecutionTime,
  138.         final double dblTransactionCostExpectation,
  139.         final double dblTransactionCostVariance,
  140.         final double dblCharacteristicTime,
  141.         final double dblMarketPower,
  142.         final org.drip.function.definition.R1ToR1 r1ToR1Holdings,
  143.         final org.drip.function.definition.R1ToR1 r1ToR1TradeRate,
  144.         final org.drip.function.definition.R1ToR1 r1ToR1TransactionCostExpectation,
  145.         final org.drip.function.definition.R1ToR1 r1ToR1TransactionCostVariance)
  146.         throws java.lang.Exception
  147.     {
  148.         super (dblExecutionTime, r1ToR1Holdings, r1ToR1TradeRate, r1ToR1TransactionCostExpectation,
  149.             r1ToR1TransactionCostVariance);

  150.         if (!org.drip.numerical.common.NumberUtil.IsValid (_dblTransactionCostExpectation =
  151.             dblTransactionCostExpectation) || !org.drip.numerical.common.NumberUtil.IsValid
  152.                 (_dblTransactionCostVariance = dblTransactionCostVariance) ||
  153.                     !org.drip.numerical.common.NumberUtil.IsValid (_dblCharacteristicTime =
  154.                         dblCharacteristicTime))
  155.             throw new java.lang.Exception
  156.                 ("EfficientTradingTrajectoryContinuous Constructor => Invalid Inputs");
  157.     }

  158.     @Override public double marketPower()
  159.     {
  160.         return _dblMarketPower;
  161.     }

  162.     @Override public double transactionCostExpectation()
  163.     {
  164.         return _dblTransactionCostExpectation;
  165.     }

  166.     @Override public double transactionCostVariance()
  167.     {
  168.         return _dblTransactionCostVariance;
  169.     }

  170.     /**
  171.      * Retrieve the Optimal Trajectory Characteristic Time
  172.      *
  173.      * @return The Optimal Trajectory Characteristic Time
  174.      */

  175.     public double characteristicTime()
  176.     {
  177.         return _dblCharacteristicTime;
  178.     }

  179.     /**
  180.      * Retrieve the Optimal Trajectory Urgency
  181.      *
  182.      * @return The Optimal Trajectory Urgency
  183.      */

  184.     public double urgency()
  185.     {
  186.         return 0. == _dblCharacteristicTime ? 0. : 1. / _dblCharacteristicTime;
  187.     }
  188. }