PathGovvie.java

  1. package org.drip.state.sequence;

  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>PathGovvie</i> exposes the Functionality to generate a Sequence of Govvie Curve Realizations across
  78.  * Multiple Paths.
  79.  *
  80.  *  <br><br>
  81.  *  <ul>
  82.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
  83.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/FixedIncomeAnalyticsLibrary.md">Fixed Income Analytics</a></li>
  84.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/state/README.md">Latent State Inference and Creation Utilities</a></li>
  85.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/state/sequence/README.md">Monte Carlo Path State Realizations</a></li>
  86.  *  </ul>
  87.  * <br><br>
  88.  *
  89.  * @author Lakshmi Krishnamurthy
  90.  */

  91. public class PathGovvie extends org.drip.state.sequence.PathRd {
  92.     private org.drip.state.sequence.GovvieBuilderSettings _gbs = null;

  93.     /**
  94.      * PathGovvie Constructor
  95.      *
  96.      * @param gbs Govvie Builder Settings Instance
  97.      * @param dblVolatility Volatility
  98.      * @param bLogNormal TRUE - The Generated Random Numbers are Log Normal
  99.      *
  100.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  101.      */

  102.     public PathGovvie (
  103.         final org.drip.state.sequence.GovvieBuilderSettings gbs,
  104.         final double dblVolatility,
  105.         final boolean bLogNormal)
  106.         throws java.lang.Exception
  107.     {
  108.         super (gbs.groundForwardYield(), dblVolatility, bLogNormal);

  109.         if (null == (_gbs = gbs)) throw new java.lang.Exception ("PathGovvie Constructor => Invalid Inputs");
  110.     }

  111.     /**
  112.      * Generate the Govvie Builder Settings Instance
  113.      *
  114.      * @return The Govvie Builder Settings Instance
  115.      */

  116.     public org.drip.state.sequence.GovvieBuilderSettings govvieBuilderSettings()
  117.     {
  118.         return _gbs;
  119.     }

  120.     /**
  121.      * Generate the R^d Path Govvie Curves using the Initial R^d and the Evolution Time Width
  122.      *
  123.      * @param iNumPath Number of Paths
  124.      *
  125.      * @return The R^d Path//Vertex Govvie Curves
  126.      */

  127.     public org.drip.state.govvie.GovvieCurve[] curveSequence (
  128.         final int iNumPath)
  129.     {
  130.         java.lang.String strCurrency = _gbs.groundState().currency();

  131.         org.drip.analytics.date.JulianDate dtSpot = _gbs.spot();

  132.         double[][] aadblPathSequence = sequence (iNumPath);

  133.         java.lang.String strTreasuryCode = _gbs.code();

  134.         java.lang.String[] astrTenor = _gbs.tenors();

  135.         if (null == aadblPathSequence) return null;

  136.         int iEpochDate = dtSpot.julian();

  137.         int iNumTenor = astrTenor.length;
  138.         int[] aiDate = new int[iNumTenor];
  139.         org.drip.state.nonlinear.FlatForwardGovvieCurve[] aFFGC = new
  140.             org.drip.state.nonlinear.FlatForwardGovvieCurve[iNumPath];

  141.         for (int iTenor = 0; iTenor < iNumTenor; ++iTenor) {
  142.             org.drip.analytics.date.JulianDate dtTenor = dtSpot.addTenor (astrTenor[iTenor]);

  143.             if (null == dtTenor) return null;

  144.             aiDate[iTenor] = dtTenor.julian();
  145.         }

  146.         for (int iPath = 0; iPath < iNumPath; ++iPath) {
  147.             try {
  148.                 if (null == (aFFGC[iPath] = new org.drip.state.nonlinear.FlatForwardGovvieCurve (iEpochDate,
  149.                     strTreasuryCode, strCurrency, aiDate, aadblPathSequence[iPath])))
  150.                     return null;
  151.             } catch (java.lang.Exception e) {
  152.                 e.printStackTrace();

  153.                 return null;
  154.             }
  155.         }

  156.         return aFFGC;
  157.     }
  158. }