BucketCurvatureSettings.java
package org.drip.simm.parameters;
/*
* -*- 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>BucketCurvatureSettings</i> holds the ISDA SIMM Curvature Settings for Interest Rates, Qualifying and
* Non-qualifying Credit, Equity, Commodity, and Foreign Exchange. 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/parameters/README.md">ISDA SIMM Risk Factor Parameters</a></li>
* </ul>
* <br><br>
*
* @author Lakshmi Krishnamurthy
*/
public class BucketCurvatureSettings extends org.drip.simm.parameters.BucketVegaSettings
{
private double _tenorScalingFactor = java.lang.Double.NaN;
/**
* Construct the ISDA Standard BucketCurvatureSettings
*
* @param riskWeight The Vega Risk Weight
* @param memberCorrelation The Member Correlation
* @param impliedVolatility The Implied Volatility
* @param vegaDurationDays The Bucket Vega Duration in Days
*
* @return The ISDA Standard BucketCurvatureSettings
*/
public static final BucketCurvatureSettings ISDA (
final double riskWeight,
final double memberCorrelation,
final double impliedVolatility,
final int vegaDurationDays)
{
try
{
return new BucketCurvatureSettings (
riskWeight,
memberCorrelation,
impliedVolatility,
org.drip.function.r1tor1.ISDABucketCurvatureTenorScaler.Standard().evaluate
(vegaDurationDays)
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* Construct the Standard ISDA 2.0 EQ Bucket Curvature Settings
*
* @param bucketIndex The Bucket Index
* @param vegaDurationDays The Vega Duration Days
*
* @return The Standard ISDA 2.0 EQ Bucket Curvature Settings
*/
public static BucketCurvatureSettings ISDA_EQ_20 (
final int bucketIndex,
final int vegaDurationDays)
{
org.drip.simm.equity.EQBucket equityBucket =
org.drip.simm.equity.EQSettingsContainer20.BucketMap().get (bucketIndex);
try
{
return null == equityBucket ? null : BucketCurvatureSettings.ISDA (
equityBucket.vegaRiskWeight() * equityBucket.deltaRiskWeight(),
equityBucket.memberCorrelation(),
java.lang.Math.sqrt (365. / 14.) /
org.drip.measure.gaussian.NormalQuadrature.InverseCDF (0.99),
vegaDurationDays
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* Construct the Standard ISDA 2.1 EQ Bucket Curvature Settings
*
* @param bucketIndex The Bucket Index
* @param vegaDurationDays The Vega Duration Days
*
* @return The Standard ISDA 2.1 EQ Bucket Curvature Settings
*/
public static BucketCurvatureSettings ISDA_EQ_21 (
final int bucketIndex,
final int vegaDurationDays)
{
org.drip.simm.equity.EQBucket equityBucket =
org.drip.simm.equity.EQSettingsContainer21.BucketMap().get (bucketIndex);
try
{
return null == equityBucket ? null : BucketCurvatureSettings.ISDA (
equityBucket.vegaRiskWeight() * equityBucket.deltaRiskWeight(),
equityBucket.memberCorrelation(),
java.lang.Math.sqrt (365. / 14.) /
org.drip.measure.gaussian.NormalQuadrature.InverseCDF (0.99),
vegaDurationDays
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* Construct the Standard ISDA 2.0 CT Bucket Curvature Settings
*
* @param bucketIndex The Bucket Index
* @param vegaDurationDays The Vega Duration Days
*
* @return The Standard ISDA 2.0 CT Bucket Curvature Settings
*/
public static BucketCurvatureSettings ISDA_CT_20 (
final int bucketIndex,
final int vegaDurationDays)
{
org.drip.simm.commodity.CTBucket commodityBucket =
org.drip.simm.commodity.CTSettingsContainer20.BucketMap().get (bucketIndex);
try
{
return null == commodityBucket ? null : BucketCurvatureSettings.ISDA (
org.drip.simm.commodity.CTSystemics20.VEGA_RISK_WEIGHT * commodityBucket.deltaRiskWeight(),
commodityBucket.memberCorrelation(),
java.lang.Math.sqrt (365. / 14.) /
org.drip.measure.gaussian.NormalQuadrature.InverseCDF (0.99),
vegaDurationDays
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* Construct the Standard ISDA 2.1 CT Bucket Curvature Settings
*
* @param bucketIndex The Bucket Index
* @param vegaDurationDays The Vega Duration Days
*
* @return The Standard ISDA 2.1 CT Bucket Curvature Settings
*/
public static BucketCurvatureSettings ISDA_CT_21 (
final int bucketIndex,
final int vegaDurationDays)
{
org.drip.simm.commodity.CTBucket commodityBucket =
org.drip.simm.commodity.CTSettingsContainer21.BucketMap().get (bucketIndex);
try
{
return null == commodityBucket ? null : BucketCurvatureSettings.ISDA (
org.drip.simm.commodity.CTSystemics21.VEGA_RISK_WEIGHT * commodityBucket.deltaRiskWeight(),
commodityBucket.memberCorrelation(),
java.lang.Math.sqrt (365. / 14.) /
org.drip.measure.gaussian.NormalQuadrature.InverseCDF (0.99),
vegaDurationDays
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* Construct the Standard ISDA 2.0 FX Bucket Curvature Settings
*
* @param vegaCategory The Vega Category
* @param vegaDurationDays The Vega Duration Days
*
* @return The Standard ISDA 2.0 FX Bucket Curvature Settings
*/
public static BucketCurvatureSettings ISDA_FX_20 (
final java.lang.String vegaCategory,
final int vegaDurationDays)
{
java.util.Map<java.lang.String, java.lang.Double> fxConcentrationCategoryVegaMap =
org.drip.simm.fx.FXRiskThresholdContainer20.CategoryVegaMap();
try {
return !fxConcentrationCategoryVegaMap.containsKey (vegaCategory) ? null :
BucketCurvatureSettings.ISDA (
org.drip.simm.fx.FXSystemics20.VEGA_RISK_WEIGHT *
org.drip.simm.fx.FXSystemics20.DELTA_RISK_WEIGHT,
org.drip.simm.fx.FXSystemics20.CORRELATION,
java.lang.Math.sqrt (365. / 14.) /
org.drip.measure.gaussian.NormalQuadrature.InverseCDF (0.99),
vegaDurationDays
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* Construct the Standard ISDA 2.1 FX Bucket Curvature Settings
*
* @param vegaCategory The Vega Category
* @param vegaDurationDays The Vega Duration Days
*
* @return The Standard ISDA 2.1 FX Bucket Curvature Settings
*/
public static BucketCurvatureSettings ISDA_FX_21 (
final java.lang.String vegaCategory,
final int vegaDurationDays)
{
java.util.Map<java.lang.String, java.lang.Double> fxConcentrationCategoryVegaMap =
org.drip.simm.fx.FXRiskThresholdContainer21.CategoryVegaMap();
try {
return !fxConcentrationCategoryVegaMap.containsKey (vegaCategory) ? null :
BucketCurvatureSettings.ISDA (
org.drip.simm.fx.FXSystemics21.VEGA_RISK_WEIGHT *
org.drip.simm.fx.FXSystemics21.DELTA_RISK_WEIGHT,
org.drip.simm.fx.FXSystemics21.CORRELATION,
java.lang.Math.sqrt (365. / 14.) /
org.drip.measure.gaussian.NormalQuadrature.InverseCDF (0.99),
vegaDurationDays
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* BucketCurvatureSettings Constructor
*
* @param riskWeight The Vega Risk Weight
* @param memberCorrelation The Member Correlation
* @param impliedVolatility The Implied Volatility
* @param tenorScalingFactor The Tenor Scaling Factor
*
* @throws java.lang.Exception Thrown if the Inputs are Invalid
*/
public BucketCurvatureSettings (
final double riskWeight,
final double memberCorrelation,
final double impliedVolatility,
final double tenorScalingFactor)
throws java.lang.Exception
{
super (
riskWeight,
1.,
memberCorrelation,
impliedVolatility,
1.
);
if (!org.drip.numerical.common.NumberUtil.IsValid (_tenorScalingFactor = tenorScalingFactor))
{
throw new java.lang.Exception ("BucketCurvatureSettings Constructor => Invalid Inputs");
}
}
/**
* Retrieve the Tenor Scaling Factor
*
* @return The Tenor Scaling Factor
*/
public double tenorScalingFactor()
{
return _tenorScalingFactor;
}
/**
* Retrieve the Vega Risk Weight
*
* @return The Vega Risk Weight
*/
public double vegaRiskWeight()
{
return super.riskWeight();
}
@Override public double riskWeight()
{
return super.riskWeight() * _tenorScalingFactor;
}
}