AssetCovarianceDense.java

  1. package org.drip.portfolioconstruction.risk;

  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 Krishnamurthy
  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>AssetCovarianceDense</i> contains the Joint Dense Covariance for the Pair of the Set of Assets.
  78.  *
  79.  *  <br><br>
  80.  *  <ul>
  81.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
  82.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/AssetAllocationAnalyticsLibrary.md">Asset Allocation Analytics</a></li>
  83.  *      <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>
  84.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/portfolioconstruction/risk/README.md">Portfolio Construction Risk/Covariance Component</a></li>
  85.  *  </ul>
  86.  * <br><br>
  87.  *
  88.  * @author Lakshmi Krishnamurthy
  89.  */

  90. public class AssetCovarianceDense
  91.     extends org.drip.portfolioconstruction.risk.AttributeJointDense
  92.     implements org.drip.portfolioconstruction.risk.AssetCovariance
  93. {

  94.     /**
  95.      * AssetCovarianceDense Constructor
  96.      *
  97.      * @param name The Name
  98.      * @param id The ID
  99.      * @param description The Description
  100.      *
  101.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  102.      */

  103.     public AssetCovarianceDense (
  104.         final java.lang.String name,
  105.         final java.lang.String id,
  106.         final java.lang.String description)
  107.         throws java.lang.Exception
  108.     {
  109.         super (
  110.             name,
  111.             id,
  112.             description
  113.         );
  114.     }

  115.     @Override public double[][] constrict (
  116.         final org.drip.portfolioconstruction.composite.Holdings holdings)
  117.     {
  118.         if (null == holdings)
  119.         {
  120.             return null;
  121.         }

  122.         java.util.Set<java.lang.String> assetIDSet = holdings.assetIDSet();

  123.         int size = assetIDSet.size();

  124.         java.util.Map<java.lang.String, java.lang.Double> covarianceMap = attributeMap();

  125.         int assetIndexI = 0;
  126.         double[][] assetCovarianceMatrix = new double[size][size];

  127.         for (java.lang.String assetID1 : assetIDSet)
  128.         {
  129.             int assetIndexJ = 0;

  130.             for (java.lang.String assetID2 : assetIDSet)
  131.             {
  132.                 java.lang.String key = assetID1 + "::" + assetID2;

  133.                 if (!covarianceMap.containsKey (
  134.                     key
  135.                 ))
  136.                 {
  137.                     return null;
  138.                 }

  139.                 assetCovarianceMatrix[assetIndexI][assetIndexJ++] = covarianceMap.get (
  140.                     key
  141.                 );
  142.             }

  143.             ++assetIndexI;
  144.         }

  145.         return assetCovarianceMatrix;
  146.     }
  147. }