PortfolioBenchmarkMetrics.java

  1. package org.drip.portfolioconstruction.asset;

  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.  * Copyright (C) 2016 Lakshmi Krishnamurthy
  11.  *
  12.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  13.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  14.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  15.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  16.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  17.  *      and computational support.
  18.  *  
  19.  *      https://lakshmidrip.github.io/DROP/
  20.  *  
  21.  *  DROP is composed of three modules:
  22.  *  
  23.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  24.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  25.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  26.  *
  27.  *  DROP Product Core implements libraries for the following:
  28.  *  - Fixed Income Analytics
  29.  *  - Loan Analytics
  30.  *  - Transaction Cost Analytics
  31.  *
  32.  *  DROP Portfolio Core implements libraries for the following:
  33.  *  - Asset Allocation Analytics
  34.  *  - Asset Liability Management Analytics
  35.  *  - Capital Estimation Analytics
  36.  *  - Exposure Analytics
  37.  *  - Margin Analytics
  38.  *  - XVA Analytics
  39.  *
  40.  *  DROP Computational Core implements libraries for the following:
  41.  *  - Algorithm Support
  42.  *  - Computation Support
  43.  *  - Function Analysis
  44.  *  - Model Validation
  45.  *  - Numerical Analysis
  46.  *  - Numerical Optimizer
  47.  *  - Spline Builder
  48.  *  - Statistical Learning
  49.  *
  50.  *  Documentation for DROP is Spread Over:
  51.  *
  52.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  53.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  54.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  55.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  56.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  57.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  58.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  59.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  60.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  61.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  62.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  63.  *
  64.  *  Licensed under the Apache License, Version 2.0 (the "License");
  65.  *      you may not use this file except in compliance with the License.
  66.  *  
  67.  *  You may obtain a copy of the License at
  68.  *      http://www.apache.org/licenses/LICENSE-2.0
  69.  *  
  70.  *  Unless required by applicable law or agreed to in writing, software
  71.  *      distributed under the License is distributed on an "AS IS" BASIS,
  72.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  73.  *  
  74.  *  See the License for the specific language governing permissions and
  75.  *      limitations under the License.
  76.  */

  77. /**
  78.  * <i>PortfolioBenchmarkMetrics</i> holds the Metrics that result from a Relative Valuation of a Portfolio
  79.  * with respect to a Benchmark.
  80.  *  
  81.  *  <br><br>
  82.  *      <ul>
  83.  *          <li>
  84.  *              Grinold, R. C., and R. N. Kahn (1999): <i>Active Portfolio Management, 2nd Edition</i>
  85.  *                  <b>McGraw-Hill</b> NY
  86.  *          </li>
  87.  *          <li>
  88.  *              Idzorek, T. (2005): <i>A Step-by-Step Guide to the Black-Litterman Model: Incorporating
  89.  *                  User-Specified Confidence Levels</i> <b>Ibbotson Associates</b> Chicago, IL
  90.  *          </li>
  91.  *      </ul>
  92.  *
  93.  *  <br><br>
  94.  *  <ul>
  95.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
  96.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/AssetAllocationAnalyticsLibrary.md">Asset Allocation Analytics</a></li>
  97.  *      <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>
  98.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/portfolioconstruction/asset/README.md">Asset Characteristics, Bounds, Portfolio Benchmarks</a></li>
  99.  *  </ul>
  100.  *
  101.  * @author Lakshmi Krishnamurthy
  102.  */

  103. public class PortfolioBenchmarkMetrics
  104. {
  105.     private double _beta = java.lang.Double.NaN;
  106.     private double _activeBeta = java.lang.Double.NaN;
  107.     private double _activeRisk = java.lang.Double.NaN;
  108.     private double _activeReturn = java.lang.Double.NaN;
  109.     private double _residualRisk = java.lang.Double.NaN;
  110.     private double _residualReturn = java.lang.Double.NaN;

  111.     /**
  112.      * PortfolioBenchmarkMetrics Constructor
  113.      *
  114.      * @param beta Portfolio-to-Benchmark Beta
  115.      * @param activeBeta Portfolio-to-Benchmark Active Beta
  116.      * @param activeRisk Portfolio-to-Benchmark Active Risk
  117.      * @param activeReturn Portfolio-to-Benchmark Active Return
  118.      * @param residualRisk Portfolio-to-Benchmark Residual Risk
  119.      * @param residualReturn Portfolio-to-Benchmark Residual Return
  120.      *
  121.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  122.      */

  123.     public PortfolioBenchmarkMetrics (
  124.         final double beta,
  125.         final double activeBeta,
  126.         final double activeRisk,
  127.         final double activeReturn,
  128.         final double residualRisk,
  129.         final double residualReturn)
  130.         throws java.lang.Exception
  131.     {
  132.         if (!org.drip.numerical.common.NumberUtil.IsValid (_beta = beta) ||
  133.             !org.drip.numerical.common.NumberUtil.IsValid (_activeBeta = activeBeta) ||
  134.             !org.drip.numerical.common.NumberUtil.IsValid (_activeRisk = activeRisk) ||
  135.             !org.drip.numerical.common.NumberUtil.IsValid (_activeReturn = activeReturn) ||
  136.             !org.drip.numerical.common.NumberUtil.IsValid (_residualRisk = residualRisk) ||
  137.             !org.drip.numerical.common.NumberUtil.IsValid (_residualReturn = residualReturn))
  138.         {
  139.             throw new java.lang.Exception ("PortfolioBenchmarkMetrics Constructor => Invalid Inputs");
  140.         }
  141.     }

  142.     /**
  143.      * Retrieve the Portfolio-to-Benchmark Beta
  144.      *
  145.      * @return The Portfolio-to-Benchmark Beta
  146.      */

  147.     public double beta()
  148.     {
  149.         return _beta;
  150.     }

  151.     /**
  152.      * Retrieve the Portfolio-to-Benchmark Active Beta
  153.      *
  154.      * @return The Portfolio-to-Benchmark Active Beta
  155.      */

  156.     public double activeBeta()
  157.     {
  158.         return _activeBeta;
  159.     }

  160.     /**
  161.      * Retrieve the Portfolio-to-Benchmark Active Risk
  162.      *
  163.      * @return The Portfolio-to-Benchmark Active Risk
  164.      */

  165.     public double activeRisk()
  166.     {
  167.         return _activeRisk;
  168.     }

  169.     /**
  170.      * Retrieve the Portfolio-to-Benchmark Active Return
  171.      *
  172.      * @return The Portfolio-to-Benchmark Active Return
  173.      */

  174.     public double activeReturn()
  175.     {
  176.         return _activeReturn;
  177.     }

  178.     /**
  179.      * Retrieve the Portfolio-to-Benchmark Residual Risk
  180.      *
  181.      * @return The Portfolio-to-Benchmark Residual Risk
  182.      */

  183.     public double residualRisk()
  184.     {
  185.         return _residualRisk;
  186.     }

  187.     /**
  188.      * Retrieve the Portfolio-to-Benchmark Residual Return
  189.      *
  190.      * @return The Portfolio-to-Benchmark Residual Return
  191.      */

  192.     public double residualReturn()
  193.     {
  194.         return _residualReturn;
  195.     }
  196. }