OptimalTrajectoryTradeAnalysis.java

package org.drip.sample.athl;

import org.drip.execution.athl.DynamicsParameters;
import org.drip.execution.dynamics.LinearPermanentExpectationParameters;
import org.drip.execution.nonadaptive.ContinuousPowerImpact;
import org.drip.execution.optimum.PowerImpactContinuous;
import org.drip.execution.parameters.AssetFlowSettings;
import org.drip.function.definition.R1ToR1;
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>OptimalTrajectoryTradeAnalysis</i> analyzes the Impact of Input Parameters on the Trade Scheduling
 * using the Equity Market Impact Functions determined empirically by Almgren, Thum, Hauptmann, and Li
 * (2005), using the Parameterization of Almgren (2003) for IBM. The References are:
 *  
 * <br><br>
 *  <ul>
 *  	<li>
 * 			Almgren, R., and N. Chriss (1999): Value under Liquidation <i>Risk</i> <b>12 (12)</b>
 *  	</li>
 *  	<li>
 * 			Almgren, R., and N. Chriss (2000): Optimal Execution of Portfolio Transactions <i>Journal of
 * 				Risk</i> <b>3 (2)</b> 5-39
 *  	</li>
 *  	<li>
 * 			Almgren, R. (2003): Optimal Execution with Nonlinear Impact Functions and Trading-Enhanced Risk
 * 				<i>Applied Mathematical Finance</i> <b>10 (1)</b> 1-18
 *  	</li>
 *  	<li>
 * 			Almgren, R., and N. Chriss (2003): Bidding Principles <i>Risk</i> 97-102
 *  	</li>
 *  	<li>
 * 			Almgren, R., C. Thum, E. Hauptmann, and H. Li (2005): Equity Market Impact <i>Risk</i> <b>18
 * 				(7)</b> 57-62
 *  	</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/athl/README.md">Almgren, Thum, Hauptmann, and Li (2005) Calibration</a></li>
 *  </ul>
 * <br><br>
 * 
 * @author Lakshmi Krishnamurthy
 */

public class OptimalTrajectoryTradeAnalysis {

	private static final void TradeSizeSensitivity (
		final double dblADVRatio,
		final double dblTradeSize,
		final LinearPermanentExpectationParameters lpep)
		throws Exception
	{
		double dblTradeTime = 0.5;
		int iNumInterval = 10;

		double dblRiskAversion = 1.e-02;

		ContinuousPowerImpact cpi = ContinuousPowerImpact.Standard (
			dblTradeSize,
			dblTradeTime,
			lpep,
			dblRiskAversion
		);

		PowerImpactContinuous pic = (PowerImpactContinuous) cpi.generate();

		R1ToR1 r1ToR1Holdings = pic.holdings();

		double[] adblHoldings = new double[iNumInterval];
		double[] adblExecutionTime = new double[iNumInterval];

		for (int i = 1; i <= iNumInterval; ++i) {
			adblExecutionTime[i - 1] = dblTradeTime * i / iNumInterval;

			adblHoldings[i - 1] = r1ToR1Holdings.evaluate (adblExecutionTime[i - 1]);
		}

		String strDump = "";

		for (int i = 0; i < adblHoldings.length; ++i)
			strDump = strDump + FormatUtil.FormatDouble (adblHoldings[i] / dblTradeSize, 2, 2, 100.) + "% | ";

		System.out.println (
			"\t| " +
			FormatUtil.FormatDouble (dblADVRatio, 2, 0, 100.) + "% | " + strDump +
			FormatUtil.FormatDouble (pic.characteristicTime(), 1, 3, 1.) + " ||"
		);
	}

	public static final void main (
		final String[] astrArgs)
		throws Exception
	{
		EnvManager.InitEnv (
			"",
			true
		);

		String strAssetName = "IBM";
		double dblAverageDailyVolume = 6561000.;
		double dblSharesOutstanding = 1728000000.;
		double dblBaseDailyVolatility = 1.57;

		double[] adblADVRatio = new double[] {
			0.01,
			0.02,
			0.03,
			0.04,
			0.06,
			0.08,
			0.10,
			0.15,
			0.20,
			0.25,
			0.30
		};

		LinearPermanentExpectationParameters lpep = new DynamicsParameters (
			new AssetFlowSettings (
				strAssetName,
				dblAverageDailyVolume,
				dblSharesOutstanding,
				dblBaseDailyVolatility
			)
		).almgren2003();

		System.out.println();

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

		System.out.println ("\t|                                        Trade Size Dependence on the Execution Schedule                                       ||");

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

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

		System.out.println ("\t|                                                        Trade Size as a Fraction of ADV                                       ||");

		System.out.println ("\t|                                                        Execution Time Nodes                                                  ||");

		System.out.println ("\t|                                                        Characteristic Time                                                   ||");

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

		for (double dblADVRatio : adblADVRatio)
			TradeSizeSensitivity (
				dblADVRatio,
				dblADVRatio * dblAverageDailyVolume,
				lpep
			);

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

		EnvManager.TerminateEnv();
	}
}