BucketCurvatureSettingsIR.java

  1. package org.drip.simm.parameters;

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

  75. /**
  76.  * <i>BucketCurvatureSettingsIR</i> holds the Curvature Risk Weights, Concentration Thresholds, and
  77.  * Cross-Tenor/Cross-Curve Correlations for each Currency Curve and its Tenor. The References are:
  78.  *
  79.  * <br><br>
  80.  *  <ul>
  81.  *      <li>
  82.  *          Andersen, L. B. G., M. Pykhtin, and A. Sokol (2017): Credit Exposure in the Presence of Initial
  83.  *              Margin https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2806156 <b>eSSRN</b>
  84.  *      </li>
  85.  *      <li>
  86.  *          Albanese, C., S. Caenazzo, and O. Frankel (2017): Regression Sensitivities for Initial Margin
  87.  *              Calculations https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2763488 <b>eSSRN</b>
  88.  *      </li>
  89.  *      <li>
  90.  *          Anfuso, F., D. Aziz, P. Giltinan, and K. Loukopoulus (2017): A Sound Modeling and Back-testing
  91.  *              Framework for Forecasting Initial Margin Requirements
  92.  *                  https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2716279 <b>eSSRN</b>
  93.  *      </li>
  94.  *      <li>
  95.  *          Caspers, P., P. Giltinan, R. Lichters, and N. Nowaczyk (2017): Forecasting Initial Margin
  96.  *              Requirements - A Model Evaluation https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2911167
  97.  *                  <b>eSSRN</b>
  98.  *      </li>
  99.  *      <li>
  100.  *          International Swaps and Derivatives Association (2017): SIMM v2.0 Methodology
  101.  *              https://www.isda.org/a/oFiDE/isda-simm-v2.pdf
  102.  *      </li>
  103.  *  </ul>
  104.  *
  105.  * <br><br>
  106.  *  <ul>
  107.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
  108.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/MarginAnalyticsLibrary.md">Initial and Variation Margin Analytics</a></li>
  109.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/simm/README.md">Initial Margin Analytics based on ISDA SIMM and its Variants</a></li>
  110.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/simm/parameters/README.md">ISDA SIMM Risk Factor Parameters</a></li>
  111.  *  </ul>
  112.  * <br><br>
  113.  *
  114.  * @author Lakshmi Krishnamurthy
  115.  */

  116. public class BucketCurvatureSettingsIR extends org.drip.simm.parameters.BucketVegaSettingsIR
  117. {
  118.     private java.util.Map<java.lang.String, java.lang.Double> _tenorScalingFactorMap = null;

  119.     /**
  120.      * Generate the ISDA 2.0 Standard BucketCurvatureSettingsIR
  121.      *
  122.      * @param currency Currency
  123.      *
  124.      * @return The ISDA 2.0 Standard BucketCurvatureSettingsIR
  125.      */

  126.     public static BucketCurvatureSettingsIR ISDA_20 (
  127.         final java.lang.String currency)
  128.     {
  129.         org.drip.simm.parameters.BucketVegaSettingsIR bucketVegaSettingsIR =
  130.             org.drip.simm.parameters.BucketVegaSettingsIR.ISDA_20 (currency);

  131.         if (null == bucketVegaSettingsIR)
  132.         {
  133.             return null;
  134.         }

  135.         org.drip.function.definition.R1ToR1 r1ToR1CurvatureTenorScaler =
  136.             org.drip.function.r1tor1.ISDABucketCurvatureTenorScaler.Standard();

  137.         java.util.Map<java.lang.String, java.lang.Double> tenorScalingFactorMap = new
  138.             org.drip.analytics.support.CaseInsensitiveHashMap<java.lang.Double>();

  139.         try
  140.         {
  141.             tenorScalingFactorMap.put (
  142.                 "2W",
  143.                 r1ToR1CurvatureTenorScaler.evaluate (14.)
  144.             );

  145.             tenorScalingFactorMap.put (
  146.                 "1M",
  147.                 r1ToR1CurvatureTenorScaler.evaluate (30.)
  148.             );

  149.             tenorScalingFactorMap.put (
  150.                 "3M",
  151.                 r1ToR1CurvatureTenorScaler.evaluate (91.)
  152.             );

  153.             tenorScalingFactorMap.put (
  154.                 "6M",
  155.                 r1ToR1CurvatureTenorScaler.evaluate (183.)
  156.             );

  157.             tenorScalingFactorMap.put (
  158.                 "1Y",
  159.                 r1ToR1CurvatureTenorScaler.evaluate (365.)
  160.             );

  161.             tenorScalingFactorMap.put (
  162.                 "2Y",
  163.                 r1ToR1CurvatureTenorScaler.evaluate (731.)
  164.             );

  165.             tenorScalingFactorMap.put (
  166.                 "3Y",
  167.                 r1ToR1CurvatureTenorScaler.evaluate (1096.)
  168.             );

  169.             tenorScalingFactorMap.put (
  170.                 "5Y",
  171.                 r1ToR1CurvatureTenorScaler.evaluate (1826.)
  172.             );

  173.             tenorScalingFactorMap.put (
  174.                 "10Y",
  175.                 r1ToR1CurvatureTenorScaler.evaluate (3652.)
  176.             );

  177.             tenorScalingFactorMap.put (
  178.                 "15Y",
  179.                 r1ToR1CurvatureTenorScaler.evaluate (5479.)
  180.             );

  181.             tenorScalingFactorMap.put (
  182.                 "20Y",
  183.                 r1ToR1CurvatureTenorScaler.evaluate (7305.)
  184.             );

  185.             tenorScalingFactorMap.put (
  186.                 "30Y",
  187.                 r1ToR1CurvatureTenorScaler.evaluate (10957.)
  188.             );

  189.             return new BucketCurvatureSettingsIR (
  190.                 bucketVegaSettingsIR.oisTenorVegaRiskWeight(),
  191.                 bucketVegaSettingsIR.libor1MTenorVegaRiskWeight(),
  192.                 bucketVegaSettingsIR.libor3MTenorVegaRiskWeight(),
  193.                 bucketVegaSettingsIR.libor6MTenorVegaRiskWeight(),
  194.                 bucketVegaSettingsIR.libor12MTenorVegaRiskWeight(),
  195.                 bucketVegaSettingsIR.primeTenorVegaRiskWeight(),
  196.                 bucketVegaSettingsIR.municipalTenorVegaRiskWeight(),
  197.                 bucketVegaSettingsIR.crossTenorCorrelation(),
  198.                 bucketVegaSettingsIR.crossCurveCorrelation(),
  199.                 bucketVegaSettingsIR.concentrationThreshold(),
  200.                 bucketVegaSettingsIR.vegaScaler(),
  201.                 bucketVegaSettingsIR.historicalVolatilityRatio(),
  202.                 bucketVegaSettingsIR.oisTenorDeltaRiskWeight(),
  203.                 bucketVegaSettingsIR.libor1MTenorDeltaRiskWeight(),
  204.                 bucketVegaSettingsIR.libor3MTenorDeltaRiskWeight(),
  205.                 bucketVegaSettingsIR.libor6MTenorDeltaRiskWeight(),
  206.                 bucketVegaSettingsIR.libor12MTenorDeltaRiskWeight(),
  207.                 bucketVegaSettingsIR.primeTenorDeltaRiskWeight(),
  208.                 bucketVegaSettingsIR.municipalTenorDeltaRiskWeight(),
  209.                 tenorScalingFactorMap
  210.             );
  211.         }
  212.         catch (java.lang.Exception e)
  213.         {
  214.             e.printStackTrace();
  215.         }

  216.         return null;
  217.     }

  218.     /**
  219.      * Generate the ISDA 2.1 Standard BucketCurvatureSettingsIR
  220.      *
  221.      * @param currency Currency
  222.      *
  223.      * @return The ISDA 2.1 Standard BucketCurvatureSettingsIR
  224.      */

  225.     public static BucketCurvatureSettingsIR ISDA_21 (
  226.         final java.lang.String currency)
  227.     {
  228.         org.drip.simm.parameters.BucketVegaSettingsIR bucketVegaSettingsIR =
  229.             org.drip.simm.parameters.BucketVegaSettingsIR.ISDA_21 (currency);

  230.         if (null == bucketVegaSettingsIR)
  231.         {
  232.             return null;
  233.         }

  234.         org.drip.function.definition.R1ToR1 r1ToR1CurvatureTenorScaler =
  235.             org.drip.function.r1tor1.ISDABucketCurvatureTenorScaler.Standard();

  236.         java.util.Map<java.lang.String, java.lang.Double> tenorScalingFactorMap = new
  237.             org.drip.analytics.support.CaseInsensitiveHashMap<java.lang.Double>();

  238.         try
  239.         {
  240.             tenorScalingFactorMap.put (
  241.                 "2W",
  242.                 r1ToR1CurvatureTenorScaler.evaluate (14.)
  243.             );

  244.             tenorScalingFactorMap.put (
  245.                 "1M",
  246.                 r1ToR1CurvatureTenorScaler.evaluate (30.)
  247.             );

  248.             tenorScalingFactorMap.put (
  249.                 "3M",
  250.                 r1ToR1CurvatureTenorScaler.evaluate (91.)
  251.             );

  252.             tenorScalingFactorMap.put (
  253.                 "6M",
  254.                 r1ToR1CurvatureTenorScaler.evaluate (183.)
  255.             );

  256.             tenorScalingFactorMap.put (
  257.                 "1Y",
  258.                 r1ToR1CurvatureTenorScaler.evaluate (365.)
  259.             );

  260.             tenorScalingFactorMap.put (
  261.                 "2Y",
  262.                 r1ToR1CurvatureTenorScaler.evaluate (731.)
  263.             );

  264.             tenorScalingFactorMap.put (
  265.                 "3Y",
  266.                 r1ToR1CurvatureTenorScaler.evaluate (1096.)
  267.             );

  268.             tenorScalingFactorMap.put (
  269.                 "5Y",
  270.                 r1ToR1CurvatureTenorScaler.evaluate (1826.)
  271.             );

  272.             tenorScalingFactorMap.put (
  273.                 "10Y",
  274.                 r1ToR1CurvatureTenorScaler.evaluate (3652.)
  275.             );

  276.             tenorScalingFactorMap.put (
  277.                 "15Y",
  278.                 r1ToR1CurvatureTenorScaler.evaluate (5479.)
  279.             );

  280.             tenorScalingFactorMap.put (
  281.                 "20Y",
  282.                 r1ToR1CurvatureTenorScaler.evaluate (7305.)
  283.             );

  284.             tenorScalingFactorMap.put (
  285.                 "30Y",
  286.                 r1ToR1CurvatureTenorScaler.evaluate (10957.)
  287.             );

  288.             return new BucketCurvatureSettingsIR (
  289.                 bucketVegaSettingsIR.oisTenorVegaRiskWeight(),
  290.                 bucketVegaSettingsIR.libor1MTenorVegaRiskWeight(),
  291.                 bucketVegaSettingsIR.libor3MTenorVegaRiskWeight(),
  292.                 bucketVegaSettingsIR.libor6MTenorVegaRiskWeight(),
  293.                 bucketVegaSettingsIR.libor12MTenorVegaRiskWeight(),
  294.                 bucketVegaSettingsIR.primeTenorVegaRiskWeight(),
  295.                 bucketVegaSettingsIR.municipalTenorVegaRiskWeight(),
  296.                 bucketVegaSettingsIR.crossTenorCorrelation(),
  297.                 bucketVegaSettingsIR.crossCurveCorrelation(),
  298.                 bucketVegaSettingsIR.concentrationThreshold(),
  299.                 bucketVegaSettingsIR.vegaScaler(),
  300.                 bucketVegaSettingsIR.historicalVolatilityRatio(),
  301.                 bucketVegaSettingsIR.oisTenorDeltaRiskWeight(),
  302.                 bucketVegaSettingsIR.libor1MTenorDeltaRiskWeight(),
  303.                 bucketVegaSettingsIR.libor3MTenorDeltaRiskWeight(),
  304.                 bucketVegaSettingsIR.libor6MTenorDeltaRiskWeight(),
  305.                 bucketVegaSettingsIR.libor12MTenorDeltaRiskWeight(),
  306.                 bucketVegaSettingsIR.primeTenorDeltaRiskWeight(),
  307.                 bucketVegaSettingsIR.municipalTenorDeltaRiskWeight(),
  308.                 tenorScalingFactorMap
  309.             );
  310.         }
  311.         catch (java.lang.Exception e)
  312.         {
  313.             e.printStackTrace();
  314.         }

  315.         return null;
  316.     }

  317.     /**
  318.      * BucketCurvatureSettingsIR Constructor
  319.      *
  320.      * @param oisTenorVegaRiskWeight The OIS Tenor Vega Risk Weight
  321.      * @param libor1MTenorVegaRiskWeight The LIBOR 1M Tenor Vega Risk Weight
  322.      * @param libor3MTenorVegaRiskWeight The LIBOR 3M Tenor Vega Risk Weight
  323.      * @param libor6MTenorVegaRiskWeight The LIBOR 6M Tenor Vega Risk Weight
  324.      * @param libor12MTenorVegaRiskWeight The LIBOR 12M Tenor Vega Risk Weight
  325.      * @param primeTenorVegaRiskWeight The PRIME Tenor Vega Risk Weight
  326.      * @param municipalTenorVegaRiskWeight The MUNICIPAL Tenor Vega Risk Weight
  327.      * @param crossTenorCorrelation Single Curve Cross-Tenor Correlation
  328.      * @param crossCurveCorrelation Cross Curve Correlation
  329.      * @param concentrationThreshold The Concentration Threshold
  330.      * @param vegaScaler The Vega Scaler
  331.      * @param historicalVolatilityRatio The Historical Volatility Ratio
  332.      * @param oisTenorDeltaRiskWeight The OIS Tenor Delta Risk Weight
  333.      * @param libor1MTenorDeltaRiskWeight The LIBOR 1M Tenor Delta Risk Weight
  334.      * @param libor3MTenorDeltaRiskWeight The LIBOR 3M Tenor Delta Risk Weight
  335.      * @param libor6MTenorDeltaRiskWeight The LIBOR 6M Tenor Delta Risk Weight
  336.      * @param libor12MTenorDeltaRiskWeight The LIBOR 12M Tenor Delta Risk Weight
  337.      * @param primeTenorDeltaRiskWeight The PRIME Tenor Delta Risk Weight
  338.      * @param municipalTenorDeltaRiskWeight The MUNICIPAL Tenor Delta Risk Weight
  339.      * @param tenorScalingFactorMap The Tenor Scaling Factor Map
  340.      *
  341.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  342.      */

  343.     public BucketCurvatureSettingsIR (
  344.         final java.util.Map<java.lang.String, java.lang.Double> oisTenorVegaRiskWeight,
  345.         final java.util.Map<java.lang.String, java.lang.Double> libor1MTenorVegaRiskWeight,
  346.         final java.util.Map<java.lang.String, java.lang.Double> libor3MTenorVegaRiskWeight,
  347.         final java.util.Map<java.lang.String, java.lang.Double> libor6MTenorVegaRiskWeight,
  348.         final java.util.Map<java.lang.String, java.lang.Double> libor12MTenorVegaRiskWeight,
  349.         final java.util.Map<java.lang.String, java.lang.Double> primeTenorVegaRiskWeight,
  350.         final java.util.Map<java.lang.String, java.lang.Double> municipalTenorVegaRiskWeight,
  351.         final org.drip.measure.stochastic.LabelCorrelation crossTenorCorrelation,
  352.         final double crossCurveCorrelation,
  353.         final double concentrationThreshold,
  354.         final double vegaScaler,
  355.         final double historicalVolatilityRatio,
  356.         final java.util.Map<java.lang.String, java.lang.Double> oisTenorDeltaRiskWeight,
  357.         final java.util.Map<java.lang.String, java.lang.Double> libor1MTenorDeltaRiskWeight,
  358.         final java.util.Map<java.lang.String, java.lang.Double> libor3MTenorDeltaRiskWeight,
  359.         final java.util.Map<java.lang.String, java.lang.Double> libor6MTenorDeltaRiskWeight,
  360.         final java.util.Map<java.lang.String, java.lang.Double> libor12MTenorDeltaRiskWeight,
  361.         final java.util.Map<java.lang.String, java.lang.Double> primeTenorDeltaRiskWeight,
  362.         final java.util.Map<java.lang.String, java.lang.Double> municipalTenorDeltaRiskWeight,
  363.         final java.util.Map<java.lang.String, java.lang.Double> tenorScalingFactorMap)
  364.         throws java.lang.Exception
  365.     {
  366.         super (
  367.             oisTenorVegaRiskWeight,
  368.             libor1MTenorVegaRiskWeight,
  369.             libor3MTenorVegaRiskWeight,
  370.             libor6MTenorVegaRiskWeight,
  371.             libor12MTenorVegaRiskWeight,
  372.             primeTenorVegaRiskWeight,
  373.             municipalTenorVegaRiskWeight,
  374.             crossTenorCorrelation,
  375.             crossCurveCorrelation,
  376.             concentrationThreshold,
  377.             vegaScaler,
  378.             historicalVolatilityRatio,
  379.             oisTenorDeltaRiskWeight,
  380.             libor1MTenorDeltaRiskWeight,
  381.             libor3MTenorDeltaRiskWeight,
  382.             libor6MTenorDeltaRiskWeight,
  383.             libor12MTenorDeltaRiskWeight,
  384.             primeTenorDeltaRiskWeight,
  385.             municipalTenorDeltaRiskWeight
  386.         );

  387.         if (null == (_tenorScalingFactorMap = tenorScalingFactorMap) || 0 == _tenorScalingFactorMap.size())
  388.         {
  389.             throw new java.lang.Exception ("BucketVegaSettingsIR Constructor => Invalid Inputs");
  390.         }
  391.     }

  392.     /**
  393.      * Retrieve the Tenor Scaling Factor Map
  394.      *
  395.      * @return The Tenor Scaling Factor Map
  396.      */

  397.     public java.util.Map<java.lang.String, java.lang.Double> tenorScalingFactorMap()
  398.     {
  399.         return _tenorScalingFactorMap;
  400.     }

  401.     @Override public java.util.Map<java.lang.String, java.lang.Double> oisTenorRiskWeight()
  402.     {
  403.         java.util.Map<java.lang.String, java.lang.Double> oisTenorVegaRiskWeight =
  404.             super.oisTenorRiskWeight();

  405.         java.util.Map<java.lang.String, java.lang.Double> oisTenorRiskWeight = new
  406.             java.util.HashMap<java.lang.String, java.lang.Double>();

  407.         for (java.util.Map.Entry<java.lang.String, java.lang.Double> oisTenorVegaRiskWeightEntry :
  408.             oisTenorVegaRiskWeight.entrySet())
  409.         {
  410.             java.lang.String tenor = oisTenorVegaRiskWeightEntry.getKey();

  411.             if (!_tenorScalingFactorMap.containsKey (tenor))
  412.             {
  413.                 return null;
  414.             }

  415.             oisTenorRiskWeight.put (
  416.                 tenor,
  417.                 oisTenorVegaRiskWeightEntry.getValue() * _tenorScalingFactorMap.get (tenor)
  418.             );
  419.         }

  420.         return oisTenorRiskWeight;
  421.     }

  422.     @Override public java.util.Map<java.lang.String, java.lang.Double> libor1MTenorRiskWeight()
  423.     {
  424.         java.util.Map<java.lang.String, java.lang.Double> libor1MTenorVegaRiskWeight =
  425.             super.libor1MTenorRiskWeight();

  426.         java.util.Map<java.lang.String, java.lang.Double> libor1MTenorRiskWeight = new
  427.             java.util.HashMap<java.lang.String, java.lang.Double>();

  428.         for (java.util.Map.Entry<java.lang.String, java.lang.Double> libor1MTenorVegaRiskWeightEntry :
  429.             libor1MTenorVegaRiskWeight.entrySet())
  430.         {
  431.             java.lang.String tenor = libor1MTenorVegaRiskWeightEntry.getKey();

  432.             if (!_tenorScalingFactorMap.containsKey (tenor))
  433.             {
  434.                 return null;
  435.             }

  436.             libor1MTenorRiskWeight.put (
  437.                 tenor,
  438.                 libor1MTenorVegaRiskWeightEntry.getValue() * _tenorScalingFactorMap.get (tenor)
  439.             );
  440.         }

  441.         return libor1MTenorRiskWeight;
  442.     }

  443.     @Override public java.util.Map<java.lang.String, java.lang.Double> libor3MTenorRiskWeight()
  444.     {
  445.         java.util.Map<java.lang.String, java.lang.Double> libor3MTenorVegaRiskWeight =
  446.             super.libor3MTenorRiskWeight();

  447.         java.util.Map<java.lang.String, java.lang.Double> libor3MTenorRiskWeight = new
  448.             java.util.HashMap<java.lang.String, java.lang.Double>();

  449.         for (java.util.Map.Entry<java.lang.String, java.lang.Double> libor3MTenorVegaRiskWeightEntry :
  450.             libor3MTenorVegaRiskWeight.entrySet())
  451.         {
  452.             java.lang.String tenor = libor3MTenorVegaRiskWeightEntry.getKey();

  453.             if (!_tenorScalingFactorMap.containsKey (tenor))
  454.             {
  455.                 return null;
  456.             }

  457.             libor3MTenorRiskWeight.put (
  458.                 tenor,
  459.                 libor3MTenorVegaRiskWeightEntry.getValue() * _tenorScalingFactorMap.get (tenor)
  460.             );
  461.         }

  462.         return libor3MTenorRiskWeight;
  463.     }

  464.     @Override public java.util.Map<java.lang.String, java.lang.Double> libor6MTenorRiskWeight()
  465.     {
  466.         java.util.Map<java.lang.String, java.lang.Double> libor6MTenorVegaRiskWeight =
  467.             super.libor6MTenorRiskWeight();

  468.         java.util.Map<java.lang.String, java.lang.Double> libor6MTenorRiskWeight = new
  469.             java.util.HashMap<java.lang.String, java.lang.Double>();

  470.         for (java.util.Map.Entry<java.lang.String, java.lang.Double> libor6MTenorVegaRiskWeightEntry :
  471.             libor6MTenorVegaRiskWeight.entrySet())
  472.         {
  473.             java.lang.String tenor = libor6MTenorVegaRiskWeightEntry.getKey();

  474.             if (!_tenorScalingFactorMap.containsKey (tenor))
  475.             {
  476.                 return null;
  477.             }

  478.             libor6MTenorRiskWeight.put (
  479.                 tenor,
  480.                 libor6MTenorVegaRiskWeightEntry.getValue() * _tenorScalingFactorMap.get (tenor)
  481.             );
  482.         }

  483.         return libor6MTenorRiskWeight;
  484.     }

  485.     @Override public java.util.Map<java.lang.String, java.lang.Double> libor12MTenorRiskWeight()
  486.     {
  487.         java.util.Map<java.lang.String, java.lang.Double> libor12MTenorVegaRiskWeight =
  488.             super.libor12MTenorRiskWeight();

  489.         java.util.Map<java.lang.String, java.lang.Double> libor12MTenorRiskWeight = new
  490.             java.util.HashMap<java.lang.String, java.lang.Double>();

  491.         for (java.util.Map.Entry<java.lang.String, java.lang.Double> libor12MTenorVegaRiskWeightEntry :
  492.             libor12MTenorVegaRiskWeight.entrySet())
  493.         {
  494.             java.lang.String tenor = libor12MTenorVegaRiskWeightEntry.getKey();

  495.             if (!_tenorScalingFactorMap.containsKey (tenor))
  496.             {
  497.                 return null;
  498.             }

  499.             libor12MTenorRiskWeight.put (
  500.                 tenor,
  501.                 libor12MTenorVegaRiskWeightEntry.getValue() * _tenorScalingFactorMap.get (tenor)
  502.             );
  503.         }

  504.         return libor12MTenorRiskWeight;
  505.     }

  506.     @Override public java.util.Map<java.lang.String, java.lang.Double> primeTenorRiskWeight()
  507.     {
  508.         java.util.Map<java.lang.String, java.lang.Double> primeTenorVegaRiskWeight =
  509.             super.primeTenorRiskWeight();

  510.         java.util.Map<java.lang.String, java.lang.Double> primeTenorRiskWeight = new
  511.             java.util.HashMap<java.lang.String, java.lang.Double>();

  512.         for (java.util.Map.Entry<java.lang.String, java.lang.Double> primeTenorVegaRiskWeightEntry :
  513.             primeTenorVegaRiskWeight.entrySet())
  514.         {
  515.             java.lang.String tenor = primeTenorVegaRiskWeightEntry.getKey();

  516.             if (!_tenorScalingFactorMap.containsKey (tenor))
  517.             {
  518.                 return null;
  519.             }

  520.             primeTenorRiskWeight.put (
  521.                 tenor,
  522.                 primeTenorVegaRiskWeightEntry.getValue() * _tenorScalingFactorMap.get (tenor)
  523.             );
  524.         }

  525.         return primeTenorRiskWeight;
  526.     }

  527.     @Override public java.util.Map<java.lang.String, java.lang.Double> municipalTenorRiskWeight()
  528.     {
  529.         java.util.Map<java.lang.String, java.lang.Double> municipalTenorVegaRiskWeight =
  530.             super.municipalTenorRiskWeight();

  531.         java.util.Map<java.lang.String, java.lang.Double> municipalTenorRiskWeight = new
  532.             java.util.HashMap<java.lang.String, java.lang.Double>();

  533.         for (java.util.Map.Entry<java.lang.String, java.lang.Double> municipalTenorVegaRiskWeightEntry :
  534.             municipalTenorVegaRiskWeight.entrySet())
  535.         {
  536.             java.lang.String tenor = municipalTenorVegaRiskWeightEntry.getKey();

  537.             if (!_tenorScalingFactorMap.containsKey (tenor))
  538.             {
  539.                 return null;
  540.             }

  541.             municipalTenorRiskWeight.put (
  542.                 tenor,
  543.                 municipalTenorVegaRiskWeightEntry.getValue() * _tenorScalingFactorMap.get (tenor)
  544.             );
  545.         }

  546.         return municipalTenorRiskWeight;
  547.     }
  548. }