BucketSensitivityCR.java
package org.drip.simm.product;
/*
* -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
*/
/*!
* Copyright (C) 2020 Lakshmi Krishnamurthy
* Copyright (C) 2019 Lakshmi Krishnamurthy
* Copyright (C) 2018 Lakshmi Krishnamurthy
*
* This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
* asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
* analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
* equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
* numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
* and computational support.
*
* https://lakshmidrip.github.io/DROP/
*
* DROP is composed of three modules:
*
* - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
* - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
* - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
*
* DROP Product Core implements libraries for the following:
* - Fixed Income Analytics
* - Loan Analytics
* - Transaction Cost Analytics
*
* DROP Portfolio Core implements libraries for the following:
* - Asset Allocation Analytics
* - Asset Liability Management Analytics
* - Capital Estimation Analytics
* - Exposure Analytics
* - Margin Analytics
* - XVA Analytics
*
* DROP Computational Core implements libraries for the following:
* - Algorithm Support
* - Computation Support
* - Function Analysis
* - Model Validation
* - Numerical Analysis
* - Numerical Optimizer
* - Spline Builder
* - Statistical Learning
*
* Documentation for DROP is Spread Over:
*
* - Main => https://lakshmidrip.github.io/DROP/
* - Wiki => https://github.com/lakshmiDRIP/DROP/wiki
* - GitHub => https://github.com/lakshmiDRIP/DROP
* - Repo Layout Taxonomy => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
* - Javadoc => https://lakshmidrip.github.io/DROP/Javadoc/index.html
* - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
* - Release Versions => https://lakshmidrip.github.io/DROP/version.html
* - Community Credits => https://lakshmidrip.github.io/DROP/credits.html
* - Issues Catalog => https://github.com/lakshmiDRIP/DROP/issues
* - JUnit => https://lakshmidrip.github.io/DROP/junit/index.html
* - Jacoco => https://lakshmidrip.github.io/DROP/jacoco/index.html
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
*
* You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
*
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/**
* <i>BucketSensitivityCR</i> holds the ISDA SIMM Risk Factor Tenor Bucket Sensitivities across CR Tenor
* Factors. The References are:
*
* <br><br>
* <ul>
* <li>
* Andersen, L. B. G., M. Pykhtin, and A. Sokol (2017): Credit Exposure in the Presence of Initial
* Margin https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2806156 <b>eSSRN</b>
* </li>
* <li>
* Albanese, C., S. Caenazzo, and O. Frankel (2017): Regression Sensitivities for Initial Margin
* Calculations https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2763488 <b>eSSRN</b>
* </li>
* <li>
* Anfuso, F., D. Aziz, P. Giltinan, and K. Loukopoulus (2017): A Sound Modeling and Back-testing
* Framework for Forecasting Initial Margin Requirements
* https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2716279 <b>eSSRN</b>
* </li>
* <li>
* Caspers, P., P. Giltinan, R. Lichters, and N. Nowaczyk (2017): Forecasting Initial Margin
* Requirements - A Model Evaluation https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2911167
* <b>eSSRN</b>
* </li>
* <li>
* International Swaps and Derivatives Association (2017): SIMM v2.0 Methodology
* https://www.isda.org/a/oFiDE/isda-simm-v2.pdf
* </li>
* </ul>
*
* <br><br>
* <ul>
* <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
* <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/MarginAnalyticsLibrary.md">Initial and Variation Margin Analytics</a></li>
* <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>
* <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/simm/product/README.md">ISDA SIMM Risk Factor Sensitivities</a></li>
* </ul>
* <br><br>
*
* @author Lakshmi Krishnamurthy
*/
public class BucketSensitivityCR
{
private org.drip.simm.product.RiskFactorTenorSensitivity _cumulativeTenorSensitivityMap = null;
private java.util.Map<java.lang.String, org.drip.simm.product.RiskFactorTenorSensitivity>
_tenorSensitivityMap = null;
private org.drip.simm.margin.BucketAggregateCR linearAggregate (
final org.drip.simm.parameters.BucketSensitivitySettingsCR bucketSensitivitySettings)
{
org.drip.simm.margin.RiskFactorAggregateCR riskFactorAggregate = curveAggregate
(bucketSensitivitySettings);
if (null == riskFactorAggregate)
{
return null;
}
org.drip.simm.margin.SensitivityAggregateCR sensitivityAggregate = riskFactorAggregate.linearMargin
(bucketSensitivitySettings);
if (null == sensitivityAggregate)
{
return null;
}
try
{
return new org.drip.simm.margin.BucketAggregateCR (
riskFactorAggregate,
sensitivityAggregate,
sensitivityAggregate.cumulativeMarginCovariance(),
riskFactorAggregate.cumulativeSensitivityMargin()
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
private org.drip.simm.margin.BucketAggregateCR curvatureAggregate (
final org.drip.simm.parameters.BucketSensitivitySettingsCR bucketSensitivitySettings)
{
org.drip.simm.margin.RiskFactorAggregateCR riskFactorAggregate = curveAggregate
(bucketSensitivitySettings);
if (null == riskFactorAggregate)
{
return null;
}
org.drip.simm.margin.SensitivityAggregateCR sensitivityAggregate =
riskFactorAggregate.curvatureMargin (bucketSensitivitySettings);
if (null == sensitivityAggregate)
{
return null;
}
try
{
return new org.drip.simm.margin.BucketAggregateCR (
riskFactorAggregate,
sensitivityAggregate,
sensitivityAggregate.cumulativeMarginCovariance(),
riskFactorAggregate.cumulativeSensitivityMargin()
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* BucketSensitivityCR Constructor
*
* @param tenorSensitivityMap The Risk Factor Tenor Sensitivity Map
*
* @throws java.lang.Exception Thrown if the Inputs are Invalid
*/
public BucketSensitivityCR (
final java.util.Map<java.lang.String, org.drip.simm.product.RiskFactorTenorSensitivity>
tenorSensitivityMap)
throws java.lang.Exception
{
if (null == (_tenorSensitivityMap = tenorSensitivityMap) || 0 == _tenorSensitivityMap.size())
{
throw new java.lang.Exception ("BucketSensitivityCR Constructor => Invalid Inputs");
}
java.util.Map<java.lang.String, java.lang.Double> riskFactorTenorSensitivityMap = new
org.drip.analytics.support.CaseInsensitiveHashMap<java.lang.Double>();
for (java.util.Map.Entry<java.lang.String, org.drip.simm.product.RiskFactorTenorSensitivity>
tenorSensitivityMapEntry : _tenorSensitivityMap.entrySet())
{
java.util.Map<java.lang.String, java.lang.Double> componentRiskFactorTenorSensitivityMap =
tenorSensitivityMapEntry.getValue().sensitivityMap();
for (java.util.Map.Entry<java.lang.String, java.lang.Double>
componentRiskFactorTenorSensitivityMapEntry :
componentRiskFactorTenorSensitivityMap.entrySet())
{
java.lang.String tenor = componentRiskFactorTenorSensitivityMapEntry.getKey();
if (riskFactorTenorSensitivityMap.containsKey (tenor))
{
riskFactorTenorSensitivityMap.put (
tenor,
riskFactorTenorSensitivityMap.get (tenor) +
componentRiskFactorTenorSensitivityMap.get (tenor)
);
}
else
{
riskFactorTenorSensitivityMap.put (
tenor,
componentRiskFactorTenorSensitivityMap.get (tenor)
);
}
}
}
_cumulativeTenorSensitivityMap = new org.drip.simm.product.RiskFactorTenorSensitivity
(riskFactorTenorSensitivityMap);
}
/**
* Retrieve the Cumulative Risk Factor Tenor Sensitivity Map
*
* @return The Cumulative Risk Factor Tenor Sensitivity Map
*/
public org.drip.simm.product.RiskFactorTenorSensitivity cumulativeTenorSensitivityMap()
{
return _cumulativeTenorSensitivityMap;
}
/**
* Retrieve the Risk Factor Tenor Sensitivity Map
*
* @return The Risk Factor Tenor Sensitivity Map
*/
public java.util.Map<java.lang.String, org.drip.simm.product.RiskFactorTenorSensitivity>
tenorSensitivityMap()
{
return _tenorSensitivityMap;
}
/**
* Generate the Cumulative Tenor Sensitivity
*
* @return The Cumulative Tenor Sensitivity
*/
public double cumulativeTenorSensitivity()
{
return _cumulativeTenorSensitivityMap.cumulative();
}
/**
* Compute the Sensitivity Concentration Risk Factor
*
* @param sensitivityConcentrationThreshold The Sensitivity Concentration Threshold
*
* @return The Sensitivity Concentration Risk Factor
*
* @throws java.lang.Exception Thrown if the Inputs are Invalid
*/
public double sensitivityConcentrationRiskFactor (
final double sensitivityConcentrationThreshold)
throws java.lang.Exception
{
if (!org.drip.numerical.common.NumberUtil.IsValid (sensitivityConcentrationThreshold))
{
throw new java.lang.Exception
("BucketSensitivityCR::sensitivityConcentrationRiskFactor => Invalid Inputs");
}
return java.lang.Math.max (
java.lang.Math.sqrt (
java.lang.Math.max (
cumulativeTenorSensitivity(),
0.
) / sensitivityConcentrationThreshold
),
1.
);
}
/**
* Generate the Tenor Sensitivity Margin Map
*
* @param bucketSensitivitySettings The Bucket Tenor Sensitivity Settings
*
* @return The Tenor Sensitivity Margin Map
*/
public java.util.Map<java.lang.String, java.lang.Double> tenorSensitivityMargin (
final org.drip.simm.parameters.BucketSensitivitySettingsCR bucketSensitivitySettings)
{
if (null == bucketSensitivitySettings)
{
return null;
}
java.util.Map<java.lang.String, java.lang.Double> tenorSensitivityMargin =
_cumulativeTenorSensitivityMap.sensitivityMargin (bucketSensitivitySettings.tenorRiskWeight());
if (null == tenorSensitivityMargin)
{
return tenorSensitivityMargin;
}
double sensitivityConcentrationRiskFactor = java.lang.Double.NaN;
try
{
sensitivityConcentrationRiskFactor = sensitivityConcentrationRiskFactor
(bucketSensitivitySettings.concentrationThreshold());
}
catch (java.lang.Exception e)
{
e.printStackTrace();
return null;
}
for (java.util.Map.Entry<java.lang.String, java.lang.Double> tenorSensitivityMarginEntry :
tenorSensitivityMargin.entrySet())
{
java.lang.String tenor = tenorSensitivityMarginEntry.getKey();
tenorSensitivityMargin.put (
tenor,
tenorSensitivityMargin.get (tenor) * sensitivityConcentrationRiskFactor
);
}
return tenorSensitivityMargin;
}
/**
* Generate the CR Margin Factor Curve Tenor Aggregate
*
* @param bucketSensitivitySettings The Bucket Tenor Sensitivity Settings
*
* @return The CR Margin Factor Curve Tenor Aggregate
*/
public org.drip.simm.margin.RiskFactorAggregateCR curveAggregate (
final org.drip.simm.parameters.BucketSensitivitySettingsCR bucketSensitivitySettings)
{
if (null == bucketSensitivitySettings)
{
return null;
}
java.util.Set<java.lang.String> componentNameSet = _tenorSensitivityMap.keySet();
java.util.Map<java.lang.String, java.util.Map<java.lang.String, java.lang.Double>>
componentTenorSensitivityMargin = new
org.drip.analytics.support.CaseInsensitiveHashMap<java.util.Map<java.lang.String,
java.lang.Double>>();
double sensitivityConcentrationRiskFactor = java.lang.Double.NaN;
try
{
sensitivityConcentrationRiskFactor = sensitivityConcentrationRiskFactor
(bucketSensitivitySettings.concentrationThreshold());
}
catch (java.lang.Exception e)
{
e.printStackTrace();
return null;
}
for (java.lang.String componentName : componentNameSet)
{
java.util.Map<java.lang.String, java.lang.Double> tenorSensitivity = _tenorSensitivityMap.get
(componentName).sensitivityMap();
java.util.Map<java.lang.String, java.lang.Double> tenorSensitivityMargin = new
org.drip.analytics.support.CaseInsensitiveHashMap<java.lang.Double>();
for (java.util.Map.Entry<java.lang.String, java.lang.Double> tenorSensitivityEntry :
tenorSensitivity.entrySet())
{
java.lang.String tenor = tenorSensitivityEntry.getKey();
tenorSensitivityMargin.put (
tenor,
tenorSensitivity.get (tenor) * sensitivityConcentrationRiskFactor
);
}
componentTenorSensitivityMargin.put (
componentName,
tenorSensitivityMargin
);
}
try
{
return new org.drip.simm.margin.RiskFactorAggregateCR (
componentTenorSensitivityMargin,
sensitivityConcentrationRiskFactor
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* Generate the Bucket CR Sensitivity Margin Aggregate
*
* @param bucketSensitivitySettingsCR The CR Bucket Sensitivity Settings
*
* @return The Bucket IR Sensitivity Margin Aggregate
*/
public org.drip.simm.margin.BucketAggregateCR aggregate (
final org.drip.simm.parameters.BucketSensitivitySettingsCR bucketSensitivitySettingsCR)
{
if (null == bucketSensitivitySettingsCR)
{
return null;
}
return bucketSensitivitySettingsCR instanceof org.drip.simm.parameters.BucketCurvatureSettingsCR ?
curvatureAggregate (bucketSensitivitySettingsCR) : linearAggregate (bucketSensitivitySettingsCR);
}
}