EnhancedEulerScheme.java
- package org.drip.sample.almgren2009;
- import org.drip.function.r1tor1.AlmgrenEnhancedEulerUpdate;
- import org.drip.numerical.common.FormatUtil;
- import org.drip.service.env.EnvManager;
- /*
- * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
- */
- /*!
- * Copyright (C) 2020 Lakshmi Krishnamurthy
- * Copyright (C) 2019 Lakshmi Krishnamurthy
- * Copyright (C) 2018 Lakshmi Krishnamurthy
- * Copyright (C) 2017 Lakshmi Krishnamurthy
- * Copyright (C) 2016 Lakshmi Krishnamurthy
- *
- * This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
- * asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
- * analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
- * equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
- * numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
- * and computational support.
- *
- * https://lakshmidrip.github.io/DROP/
- *
- * DROP is composed of three modules:
- *
- * - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
- * - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
- * - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
- *
- * DROP Product Core implements libraries for the following:
- * - Fixed Income Analytics
- * - Loan Analytics
- * - Transaction Cost Analytics
- *
- * DROP Portfolio Core implements libraries for the following:
- * - Asset Allocation Analytics
- * - Asset Liability Management Analytics
- * - Capital Estimation Analytics
- * - Exposure Analytics
- * - Margin Analytics
- * - XVA Analytics
- *
- * DROP Computational Core implements libraries for the following:
- * - Algorithm Support
- * - Computation Support
- * - Function Analysis
- * - Model Validation
- * - Numerical Analysis
- * - Numerical Optimizer
- * - Spline Builder
- * - Statistical Learning
- *
- * Documentation for DROP is Spread Over:
- *
- * - Main => https://lakshmidrip.github.io/DROP/
- * - Wiki => https://github.com/lakshmiDRIP/DROP/wiki
- * - GitHub => https://github.com/lakshmiDRIP/DROP
- * - Repo Layout Taxonomy => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
- * - Javadoc => https://lakshmidrip.github.io/DROP/Javadoc/index.html
- * - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
- * - Release Versions => https://lakshmidrip.github.io/DROP/version.html
- * - Community Credits => https://lakshmidrip.github.io/DROP/credits.html
- * - Issues Catalog => https://github.com/lakshmiDRIP/DROP/issues
- * - JUnit => https://lakshmidrip.github.io/DROP/junit/index.html
- * - Jacoco => https://lakshmidrip.github.io/DROP/jacoco/index.html
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- *
- * You may obtain a copy of the License at
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- *
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
- /**
- * <i>EnhancedEulerScheme</i> demonstrates the Enhancement used by Almgren (2009, 2012) to deal with Time
- * Evolution under Singular Initial Conditions. The References are:
- *
- * <br><br>
- * <ul>
- * <li>
- * Almgren, R. F., and N. Chriss (2000): Optimal Execution of Portfolio Transactions <i>Journal of
- * Risk</i> <b>3 (2)</b> 5-39
- * </li>
- * <li>
- * Almgren, R. F. (2009): Optimal Trading in a Dynamic Market
- * https://www.math.nyu.edu/financial_mathematics/content/02_financial/2009-2.pdf
- * </li>
- * <li>
- * Almgren, R. F. (2012): Optimal Trading with Stochastic Liquidity and Volatility <i>SIAM Journal
- * of Financial Mathematics</i> <b>3 (1)</b> 163-181
- * </li>
- * <li>
- * Geman, H., D. B. Madan, and M. Yor (2001): Time Changes for Levy Processes <i>Mathematical
- * Finance</i> <b>11 (1)</b> 79-96
- * </li>
- * <li>
- * Walia, N. (2006): Optimal Trading: Dynamic Stock Liquidation Strategies <b>Princeton
- * University</b>
- * </li>
- * </ul>
- *
- * <br><br>
- * <ul>
- * <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
- * <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/TransactionCostAnalyticsLibrary.md">Transaction Cost Analytics</a></li>
- * <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sample/README.md">DROP API Construction and Usage</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sample/almgren2009/README.md">Almgren (2009) Optimal Adaptive HJB</a></li>
- * </ul>
- * <br><br>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class EnhancedEulerScheme {
- public static final void main (
- final String[] astrArgs)
- throws Exception
- {
- EnvManager.InitEnv (
- "",
- true
- );
- double dblA = 2.;
- double dblB = 1.;
- double dblTimeIncrement = 0.1;
- double dblSimulationTime = 1.0;
- int iK = 2;
- int iNumSimulationSteps = (int) (dblSimulationTime / dblTimeIncrement);
- double dblInitialOrder0 = 1. / (iK * dblTimeIncrement);
- double dblInitialOrder1 = dblInitialOrder0 + 0.5 * (dblA + dblB);
- double dblOrder0Euler = dblInitialOrder0;
- double dblOrder1Euler = dblInitialOrder1;
- double dblOrder0EnhancedEuler = dblInitialOrder0;
- double dblOrder1EnhancedEuler = dblInitialOrder1;
- AlmgrenEnhancedEulerUpdate aeeu = new AlmgrenEnhancedEulerUpdate (
- dblA,
- dblB
- );
- System.out.println();
- System.out.println ("\t||----------------------------------------------------||");
- System.out.println ("\t|| L -> R: ||");
- System.out.println ("\t|| - Time ||");
- System.out.println ("\t|| - Exact Solution ||");
- System.out.println ("\t|| - Order 1 Initial + Enhanced Euler ||");
- System.out.println ("\t|| - Order 0 Initial + Enhanced Euler ||");
- System.out.println ("\t|| - Order 1 Initial + Regular Euler ||");
- System.out.println ("\t|| - Order 0 Initial + Regular Euler ||");
- System.out.println ("\t||----------------------------------------------------||");
- for (int i = iK; i <= iNumSimulationSteps; ++i) {
- double dblTime = i * dblTimeIncrement;
- System.out.println (
- "\t|| " +
- FormatUtil.FormatDouble (dblTime, 1, 1, 1.) + " => " +
- FormatUtil.FormatDouble (aeeu.evaluate (dblTime), 1, 3, 1.) + " | " +
- FormatUtil.FormatDouble (dblOrder1EnhancedEuler, 1, 3, 1.) + " | " +
- FormatUtil.FormatDouble (dblOrder0EnhancedEuler, 1, 3, 1.) + " | " +
- FormatUtil.FormatDouble (dblOrder1Euler, 1, 3, 1.) + " | " +
- FormatUtil.FormatDouble (dblOrder0Euler, 1, 3, 1.) + " ||"
- );
- double dblOrder0EulerIncrement = -1. * (dblOrder0Euler - dblA) * (dblOrder0Euler - dblB) * dblTimeIncrement;
- double dblOrder1EulerIncrement = -1. * (dblOrder1Euler - dblA) * (dblOrder1Euler - dblB) * dblTimeIncrement;
- dblOrder0Euler = dblOrder0Euler + dblOrder0EulerIncrement;
- dblOrder1Euler = dblOrder1Euler + dblOrder1EulerIncrement;
- double dblOrder0EnhancedEulerIncrement = -1. * (dblOrder0EnhancedEuler - dblA) * (dblOrder0EnhancedEuler - dblB)
- * dblTimeIncrement * iK / (iK + 1);
- dblOrder0EnhancedEuler = dblOrder0EnhancedEuler + dblOrder0EnhancedEulerIncrement;
- double dblOrder1EnhancedEulerIncrement = -1. * (dblOrder1EnhancedEuler - dblA) * (dblOrder1EnhancedEuler - dblB)
- * dblTimeIncrement * iK / (iK + 1);
- dblOrder1EnhancedEuler = dblOrder1EnhancedEuler + dblOrder1EnhancedEulerIncrement;
- }
- System.out.println ("\t||----------------------------------------------------||");
- EnvManager.TerminateEnv();
- }
- }