RobustErrorTerm.java

  1. package org.drip.portfolioconstruction.objective;

  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 Krishnamurthy0
  10.  *
  11.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  12.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  13.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  14.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  15.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  16.  *      and computational support.
  17.  *  
  18.  *      https://lakshmidrip.github.io/DROP/
  19.  *  
  20.  *  DROP is composed of three modules:
  21.  *  
  22.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  23.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  24.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  25.  *
  26.  *  DROP Product Core implements libraries for the following:
  27.  *  - Fixed Income Analytics
  28.  *  - Loan Analytics
  29.  *  - Transaction Cost Analytics
  30.  *
  31.  *  DROP Portfolio Core implements libraries for the following:
  32.  *  - Asset Allocation Analytics
  33.  *  - Asset Liability Management Analytics
  34.  *  - Capital Estimation Analytics
  35.  *  - Exposure Analytics
  36.  *  - Margin Analytics
  37.  *  - XVA Analytics
  38.  *
  39.  *  DROP Computational Core implements libraries for the following:
  40.  *  - Algorithm Support
  41.  *  - Computation Support
  42.  *  - Function Analysis
  43.  *  - Model Validation
  44.  *  - Numerical Analysis
  45.  *  - Numerical Optimizer
  46.  *  - Spline Builder
  47.  *  - Statistical Learning
  48.  *
  49.  *  Documentation for DROP is Spread Over:
  50.  *
  51.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  52.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  53.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  54.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  55.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  56.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  57.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  58.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  59.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  60.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  61.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  62.  *
  63.  *  Licensed under the Apache License, Version 2.0 (the "License");
  64.  *      you may not use this file except in compliance with the License.
  65.  *  
  66.  *  You may obtain a copy of the License at
  67.  *      http://www.apache.org/licenses/LICENSE-2.0
  68.  *  
  69.  *  Unless required by applicable law or agreed to in writing, software
  70.  *      distributed under the License is distributed on an "AS IS" BASIS,
  71.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  72.  *  
  73.  *  See the License for the specific language governing permissions and
  74.  *      limitations under the License.
  75.  */

  76. /**
  77.  * <i>RobustErrorTerm</i> optimizes the Error in the Target Expected Absolute Return of the Portfolio on the
  78.  * Absence of Benchmark, and the Error in the Benchmark-Adjusted Returns Otherwise.
  79.  *
  80.  *  <br><br>
  81.  *  <ul>
  82.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
  83.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/AssetAllocationAnalyticsLibrary.md">Asset Allocation Analytics</a></li>
  84.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/portfolioconstruction/README.md">Portfolio Construction under Allocation Constraints</a></li>
  85.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/portfolioconstruction/objective/README.md">Portfolio Construction Objective Term Suite</a></li>
  86.  *  </ul>
  87.  * <br><br>
  88.  *
  89.  * @author Lakshmi Krishnamurthy
  90.  */

  91. public abstract class RobustErrorTerm
  92.     extends org.drip.portfolioconstruction.objective.ReturnsTerm
  93. {
  94.     private double[][] _assetCovarianceMatrix = null;
  95.     private double[][] _alphaUncertaintyMatrix = null;
  96.     private double _confidenceLevel = java.lang.Double.NaN;

  97.     /**
  98.      * RobustErrorTerm Constructor
  99.      *
  100.      * @param name Name of the Expected Returns Objective Term
  101.      * @param initialHoldingsArray Initial Holdings Array
  102.      * @param alphaArray Asset Alpha Array
  103.      * @param alphaUncertaintyMatrix Alpha Uncertainty Matrix
  104.      * @param assetCovarianceMatrix Asset Co-variance Matrix
  105.      * @param benchmarkConstrictedHoldingsArray Benchmark Constricted Holdings Array
  106.      * @param confidenceLevel Confidence Level (i.e., Eta)
  107.      *
  108.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  109.      */

  110.     public RobustErrorTerm (
  111.         final java.lang.String name,
  112.         final double[] initialHoldingsArray,
  113.         final double[] alphaArray,
  114.         final double[][] alphaUncertaintyMatrix,
  115.         final double[][] assetCovarianceMatrix,
  116.         final double[] benchmarkConstrictedHoldingsArray,
  117.         final double confidenceLevel)
  118.         throws java.lang.Exception
  119.     {
  120.         super (
  121.             name,
  122.             "OT_ROBUST",
  123.             "Robust Error Portfolio Returns Objective Term",
  124.             initialHoldingsArray,
  125.             alphaArray,
  126.             benchmarkConstrictedHoldingsArray
  127.         );

  128.         int assetCount = initialHoldingsArray.length;

  129.         if (!org.drip.numerical.common.NumberUtil.IsValid (_confidenceLevel = confidenceLevel) ||
  130.             null == (_alphaUncertaintyMatrix = alphaUncertaintyMatrix) ||
  131.             assetCount != _alphaUncertaintyMatrix.length)
  132.         {
  133.             throw new java.lang.Exception ("RobustErrorTerm Constructor => Invalid Inputs");
  134.         }

  135.         for (int assetIndex = 0; assetIndex < assetCount; ++assetIndex)
  136.         {
  137.             if (null == _alphaUncertaintyMatrix[assetIndex] ||
  138.                 !org.drip.numerical.common.NumberUtil.IsValid (_alphaUncertaintyMatrix[assetIndex]) ||
  139.                 assetCount != _alphaUncertaintyMatrix[assetIndex].length)
  140.             {
  141.                 throw new java.lang.Exception ("RobustErrorTerm Constructor => Invalid Inputs");
  142.             }
  143.         }

  144.         if (null == (_assetCovarianceMatrix = assetCovarianceMatrix) ||
  145.             assetCount != _assetCovarianceMatrix.length)
  146.         {
  147.             throw new java.lang.Exception ("RobustErrorTerm Constructor => Invalid Inputs");
  148.         }

  149.         for (int assetIndex = 0; assetIndex < assetCount; ++assetIndex)
  150.         {
  151.             if (null == _assetCovarianceMatrix[assetIndex] ||
  152.                 !org.drip.numerical.common.NumberUtil.IsValid (_assetCovarianceMatrix[assetIndex]) ||
  153.                 assetCount != _assetCovarianceMatrix[assetIndex].length)
  154.             {
  155.                 throw new java.lang.Exception ("RobustErrorTerm Constructor => Invalid Inputs");
  156.             }
  157.         }
  158.     }

  159.     /**
  160.      * Retrieve the Confidence Level (i.e., Eta)
  161.      *
  162.      * @return The Confidence Level (i.e., Eta)
  163.      */

  164.     public double confidenceLevel()
  165.     {
  166.         return _confidenceLevel;
  167.     }

  168.     /**
  169.      * Retrieve the Asset Co-variance Matrix
  170.      *
  171.      * @return The Asset Co-variance Matrix
  172.      */

  173.     public double[][] assetCovariance()
  174.     {
  175.         return _assetCovarianceMatrix;
  176.     }

  177.     /**
  178.      * Retrieve the Alpha Uncertainty Matrix
  179.      *
  180.      * @return The Alpha Uncertainty Matrix
  181.      */

  182.     public double[][] alphaUncertainty()
  183.     {
  184.         return _alphaUncertaintyMatrix;
  185.     }
  186. }