PortfolioMetrics.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>PortfolioMetrics</i> holds the Expected Portfolio Returns and the Standard Deviation.
  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/asset/README.md">Asset Characteristics, Bounds, Portfolio Benchmarks</a></li>
  86.  *  </ul>
  87.  *
  88.  * @author Lakshmi Krishnamurthy
  89.  */

  90. public class PortfolioMetrics
  91. {
  92.     private double[] _impliedBetaArray = null;
  93.     private double _sharpeRatio = java.lang.Double.NaN;
  94.     private double _excessReturnsMean = java.lang.Double.NaN;
  95.     private double _excessReturnsVariance = java.lang.Double.NaN;
  96.     private double _excessReturnsStandardDeviation = java.lang.Double.NaN;

  97.     /**
  98.      * PortfolioMetrics Constructor
  99.      *
  100.      * @param excessReturnsMean The Expected Portfolio Excess Returns Mean
  101.      * @param excessReturnsVariance The Portfolio Excess Returns Variance
  102.      * @param excessReturnsStandardDeviation The Excess Returns Portfolio Standard Deviation
  103.      * @param sharpeRatio Portfolio Sharpe Ratio
  104.      * @param impliedBetaArray Portfolio Implied Beta Vector
  105.      *
  106.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  107.      */

  108.     public PortfolioMetrics (
  109.         final double excessReturnsMean,
  110.         final double excessReturnsVariance,
  111.         final double excessReturnsStandardDeviation,
  112.         final double sharpeRatio,
  113.         final double[] impliedBetaArray)
  114.         throws java.lang.Exception
  115.     {
  116.         if (!org.drip.numerical.common.NumberUtil.IsValid (_excessReturnsMean = excessReturnsMean) ||
  117.             !org.drip.numerical.common.NumberUtil.IsValid (_excessReturnsVariance = excessReturnsVariance) ||
  118.             !org.drip.numerical.common.NumberUtil.IsValid (_excessReturnsStandardDeviation =
  119.                 excessReturnsStandardDeviation) ||
  120.             !org.drip.numerical.common.NumberUtil.IsValid (_sharpeRatio = sharpeRatio) ||
  121.             null == (_impliedBetaArray = impliedBetaArray) || 0 == _impliedBetaArray.length)
  122.         {
  123.             throw new java.lang.Exception ("PortfolioMetrics Constructor => Invalid Inputs!");
  124.         }
  125.     }

  126.     /**
  127.      * Retrieve the Portfolio Expected Excess Returns
  128.      *
  129.      * @return The Portfolio Expected Excess Returns
  130.      */

  131.     public double excessReturnsMean()
  132.     {
  133.         return _excessReturnsMean;
  134.     }

  135.     /**
  136.      * Retrieve the Portfolio Excess Returns Variance
  137.      *
  138.      * @return The Portfolio Excess Returns Variance
  139.      */

  140.     public double excessReturnsVariance()
  141.     {
  142.         return _excessReturnsVariance;
  143.     }

  144.     /**
  145.      * Retrieve the Portfolio Excess Returns Standard Deviation
  146.      *
  147.      * @return The Portfolio Excess Returns Standard Deviation
  148.      */

  149.     public double excessReturnsStandardDeviation()
  150.     {
  151.         return _excessReturnsStandardDeviation;
  152.     }

  153.     /**
  154.      * Retrieve the Portfolio Sharpe Ratio
  155.      *
  156.      * @return The Portfolio Sharpe Ratio
  157.      */

  158.     public double sharpeRatio()
  159.     {
  160.         return _sharpeRatio;
  161.     }

  162.     /**
  163.      * Retrieve the Portfolio Implied Beta Vector
  164.      *
  165.      * @return The Portfolio Implied Beta Vector
  166.      */

  167.     public double[] impliedBeta()
  168.     {
  169.         return _impliedBetaArray;
  170.     }
  171. }