ConcaveImpactNoDrift.java
package org.drip.sample.execution;
import org.drip.execution.dynamics.*;
import org.drip.execution.impact.*;
import org.drip.execution.nonadaptive.StaticOptimalSchemeDiscrete;
import org.drip.execution.optimum.EfficientTradingTrajectoryDiscrete;
import org.drip.execution.parameters.*;
import org.drip.execution.profiletime.*;
import org.drip.execution.risk.MeanVarianceObjectiveUtility;
import org.drip.execution.strategy.*;
import org.drip.function.r1tor1.FlatUnivariate;
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) 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 risk, transaction costs, exposure, margin
* calculations, valuation adjustment, and portfolio construction within and across fixed income,
* credit, commodity, equity, FX, and structured products.
*
* https://lakshmidrip.github.io/DROP/
*
* DROP is composed of three modules:
*
* - DROP Analytics Core - https://lakshmidrip.github.io/DROP-Analytics-Core/
* - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
* - DROP Numerical Core - https://lakshmidrip.github.io/DROP-Numerical-Core/
*
* DROP Analytics Core implements libraries for the following:
* - Fixed Income Analytics
* - Asset Backed Analytics
* - XVA Analytics
* - Exposure and Margin Analytics
*
* DROP Portfolio Core implements libraries for the following:
* - Asset Allocation Analytics
* - Transaction Cost Analytics
*
* DROP Numerical Core implements libraries for the following:
* - Statistical Learning
* - Numerical Optimizer
* - Spline Builder
* - Algorithm Support
*
* 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>ConcaveImpactNoDrift</i> generates the Trade/Holdings List of Optimal Execution Schedule based on the
* Concave Power Law Evolution Walk Parameters specified. The Generation follows a Numerical Optimizer
* Scheme, as opposed to the Closed Form; it also excludes the Impact of Drift. 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>
* Bertsimas, D., and A. W. Lo (1998): Optimal Control of Execution Costs <i>Journal of Financial
* Markets</i> <b>1</b> 1-50
* </li>
* </ul>
*
* <br><br>
* <ul>
* <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
* <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/TransactionCostAnalyticsLibrary.md">Transaction Cost Analytics Library</a></li>
* <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sample/README.md">Sample</a></li>
* <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>
* </ul>
* <br><br>
*
* @author Lakshmi Krishnamurthy
*/
public class ConcaveImpactNoDrift {
public static final void main (
final String[] astrArgs)
throws Exception
{
EnvManager.InitEnv ("");
double dblS0 = 50.;
double dblDailyVolume = 1000000.;
double dblBidAskSpread = 0.;
double dblPermanentImpactFactor = 0.;
double dblTemporaryImpactFactor = 0.01;
double dblK = 0.5;
double dblDailyVolumeExecutionFactor = 0.1;
double dblDrift = 0.;
double dblVolatility = 1.;
double dblX = 100000.;
double dblFinishTime = 0.04;
int iNumInterval = 2;
double dblLambdaU = 3.e-03;
PriceMarketImpactPower pmip = new PriceMarketImpactPower (
new AssetTransactionSettings (
dblS0,
dblDailyVolume,
dblBidAskSpread
),
dblPermanentImpactFactor,
dblTemporaryImpactFactor,
dblDailyVolumeExecutionFactor,
dblK
);
LinearPermanentExpectationParameters lpep = ArithmeticPriceEvolutionParametersBuilder.Almgren2003 (
new ArithmeticPriceDynamicsSettings (
dblDrift,
new FlatUnivariate (dblVolatility),
0.
),
new UniformParticipationRateLinear ((ParticipationRateLinear) pmip.permanentTransactionFunction()),
new UniformParticipationRate ((ParticipationRatePower) pmip.temporaryTransactionFunction())
);
DiscreteTradingTrajectoryControl dttc = DiscreteTradingTrajectoryControl.FixedInterval (
new OrderSpecification (
dblX,
dblFinishTime
),
iNumInterval
);
EfficientTradingTrajectoryDiscrete ettd = (EfficientTradingTrajectoryDiscrete) new StaticOptimalSchemeDiscrete (
dttc,
lpep,
new MeanVarianceObjectiveUtility (dblLambdaU)
).generate();
double[] adblExecutionTimeNode = ettd.executionTimeNode();
double[] adblTradeList = ettd.tradeList();
double[] adblHoldings = ettd.holdings();
System.out.println ("\n\t|-----------------------------||");
System.out.println ("\t| Optimal Trading Trajectory ||");
System.out.println ("\t| ------- ------- ---------- ||");
System.out.println ("\t| L -> R: ||");
System.out.println ("\t| Time Node ||");
System.out.println ("\t| Holdings ||");
System.out.println ("\t| Trade Amount ||");
System.out.println ("\t|-----------------------------||");
for (int i = 0; i <= iNumInterval; ++i) {
if (i == 0)
System.out.println (
"\t|" + FormatUtil.FormatDouble (adblExecutionTimeNode[i], 1, 3, 1.) + " =>" +
FormatUtil.FormatDouble (adblHoldings[i], 7, 1, 1.) + " | " +
FormatUtil.FormatDouble (0., 6, 1, 1.) + " ||"
);
else
System.out.println (
"\t|" + FormatUtil.FormatDouble (adblExecutionTimeNode[i], 1, 3, 1.) + " =>" +
FormatUtil.FormatDouble (adblHoldings[i], 7, 1, 1.) + " | " +
FormatUtil.FormatDouble (adblTradeList[i - 1], 6, 1, 1.) + " ||"
);
}
System.out.println ("\t|-----------------------------||");
EnvManager.TerminateEnv();
}
}