EfficientTradingTrajectoryContinuous.java

package org.drip.execution.optimum;

/*
 * -*- 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>EfficientTradingTrajectoryContinuous</i> contains the Efficient Trading Trajectory generated by one of
 * the Methods outlined in the Almgren (2003) Scheme for Continuous Trading Approximation. 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. 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. (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/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/execution/README.md">Optimal Impact/Capture Based Trading Trajectories - Deterministic, Stochastic, Static, and Dynamic</a></li>
 *		<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>
 *  </ul>
 * 
 * @author Lakshmi Krishnamurthy
 */

public class EfficientTradingTrajectoryContinuous extends
	org.drip.execution.strategy.ContinuousTradingTrajectory implements
		org.drip.execution.optimum.EfficientTradingTrajectory {
	private double _dblMarketPower = java.lang.Double.NaN;
	private double _dblCharacteristicTime = java.lang.Double.NaN;
	private double _dblTransactionCostVariance = java.lang.Double.NaN;
	private double _dblTransactionCostExpectation = java.lang.Double.NaN;

	/**
	 * EfficientTradingTrajectoryContinuous Constructor
	 * 
	 * @param dblExecutionTime The Execution Time
	 * @param dblTransactionCostExpectation The Expected Transaction Cost
	 * @param dblTransactionCostVariance The Variance of the Transaction Cost
	 * @param dblCharacteristicTime The Optimal Trajectory's "Characteristic" Time
	 * @param dblMarketPower The Dimension-less Relative Market Impact
	 * @param r1ToR1Holdings The Optimal Trajectory R^1 To R^1 Holdings Function
	 * @param r1ToR1TradeRate The Optimal Trajectory R^1 To R^1 Trade Rate Function
	 * @param r1ToR1TransactionCostExpectation The Transaction Cost Expectation Function
	 * @param r1ToR1TransactionCostVariance The Transaction Cost Variance Function
	 * 
	 * @throws java.lang.Exception Thrown if the Inputs are Invalid
	 */

	public EfficientTradingTrajectoryContinuous (
		final double dblExecutionTime,
		final double dblTransactionCostExpectation,
		final double dblTransactionCostVariance,
		final double dblCharacteristicTime,
		final double dblMarketPower,
		final org.drip.function.definition.R1ToR1 r1ToR1Holdings,
		final org.drip.function.definition.R1ToR1 r1ToR1TradeRate,
		final org.drip.function.definition.R1ToR1 r1ToR1TransactionCostExpectation,
		final org.drip.function.definition.R1ToR1 r1ToR1TransactionCostVariance)
		throws java.lang.Exception
	{
		super (dblExecutionTime, r1ToR1Holdings, r1ToR1TradeRate, r1ToR1TransactionCostExpectation,
			r1ToR1TransactionCostVariance);

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

	@Override public double marketPower()
	{
		return _dblMarketPower;
	}

	@Override public double transactionCostExpectation()
	{
		return _dblTransactionCostExpectation;
	}

	@Override public double transactionCostVariance()
	{
		return _dblTransactionCostVariance;
	}

	/**
	 * Retrieve the Optimal Trajectory Characteristic Time
	 * 
	 * @return The Optimal Trajectory Characteristic Time
	 */

	public double characteristicTime()
	{
		return _dblCharacteristicTime;
	}

	/**
	 * Retrieve the Optimal Trajectory Urgency
	 * 
	 * @return The Optimal Trajectory Urgency
	 */

	public double urgency()
	{
		return 0. == _dblCharacteristicTime ? 0. : 1. / _dblCharacteristicTime;
	}
}