MultilateralBasisCurve.java
- package org.drip.state.csa;
- /*
- * -*- 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>MultilateralBasisCurve</i> implements the CSA Cash Rate Curve as a Basis over an Overnight Curve.
- *
- * <br><br>
- * <ul>
- * <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
- * <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/FixedIncomeAnalyticsLibrary.md">Fixed Income Analytics</a></li>
- * <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>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/state/csa/README.md">Credit Support Annex Latent State</a></li>
- * </ul>
- * <br><br>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class MultilateralBasisCurve implements org.drip.state.csa.CashFlowEstimator
- {
- private static final int NUM_DF_QUADRATURES = 5;
- private double _dblBasis = java.lang.Double.NaN;
- private org.drip.state.discount.MergedDiscountForwardCurve _mdfcOvernight = null;
- /**
- * Retrieve the Overnight Curve
- *
- * @return The Overnight Curve
- */
- public org.drip.state.discount.MergedDiscountForwardCurve overnightCurve()
- {
- return _mdfcOvernight;
- }
- /**
- * Retrieve the Basis to the Overnight Curve
- *
- * @return The Basis to the Overnight Curve
- */
- public double basis()
- {
- return _dblBasis;
- }
- @Override public org.drip.analytics.date.JulianDate epoch()
- {
- return _mdfcOvernight.epoch();
- }
- @Override public double df (
- final int iDate)
- throws java.lang.Exception
- {
- int iEpochDate = epoch().julian();
- if (iEpochDate >= iDate)
- throw new java.lang.Exception ("MultilateralBasisCurve::df => Invalid Inputs");
- return _mdfcOvernight.df (iDate) * java.lang.Math.exp (_dblBasis * (iEpochDate - iDate) / 365.25);
- }
- @Override public double df (
- final org.drip.analytics.date.JulianDate dt)
- throws java.lang.Exception
- {
- if (null == dt) throw new java.lang.Exception ("MultilateralBasisCurve::df => Invalid Inputs");
- return df (dt.julian());
- }
- @Override public double df (
- final java.lang.String strTenor)
- throws java.lang.Exception
- {
- return df (epoch().addTenor (strTenor));
- }
- @Override public double effectiveDF (
- final int iDate1,
- final int iDate2)
- throws java.lang.Exception
- {
- if (epoch().julian() > iDate1 || iDate1 >= iDate2)
- throw new java.lang.Exception ("MultilateralFlatForwardCurve::effectiveDF => Invalid Inputs");
- int iNumQuadratures = 0;
- double dblEffectiveDF = 0.;
- int iQuadratureWidth = (iDate2 - iDate1) / NUM_DF_QUADRATURES;
- if (0 == iQuadratureWidth) iQuadratureWidth = 1;
- for (int iDate = iDate1; iDate <= iDate2; iDate += iQuadratureWidth) {
- ++iNumQuadratures;
- dblEffectiveDF += (df (iDate) + df (iDate + iQuadratureWidth));
- }
- return dblEffectiveDF / (2. * iNumQuadratures);
- }
- @Override public double effectiveDF (
- final org.drip.analytics.date.JulianDate dt1,
- final org.drip.analytics.date.JulianDate dt2)
- throws java.lang.Exception
- {
- if (null == dt1 || null == dt2)
- throw new java.lang.Exception ("MultilateralFlatForwardCurve::effectiveDF => Invalid Inputs");
- return effectiveDF (
- dt1.julian(),
- dt2.julian()
- );
- }
- @Override public double effectiveDF (
- final java.lang.String strTenor1,
- final java.lang.String strTenor2)
- throws java.lang.Exception
- {
- org.drip.analytics.date.JulianDate dtEpoch = epoch();
- return effectiveDF (
- dtEpoch.addTenor (strTenor1),
- dtEpoch.addTenor (strTenor2)
- );
- }
- @Override public double rate (
- final int iDate)
- throws java.lang.Exception
- {
- int iEpochDate = epoch().julian();
- if (iEpochDate >= iDate)
- throw new java.lang.Exception ("MultilateralFlatForwardCurve::rate => Invalid Inputs");
- return 365.25 * java.lang.Math.log (df (iEpochDate) / df (iDate)) / (iEpochDate - iDate);
- }
- @Override public double rate (
- final org.drip.analytics.date.JulianDate dt)
- throws java.lang.Exception
- {
- if (null == dt)
- throw new java.lang.Exception ("MultilateralFlatForwardCurve::rate => Invalid Inputs");
- return rate (dt.julian());
- }
- @Override public double rate (
- final java.lang.String strTenor)
- throws java.lang.Exception
- {
- return rate (epoch().addTenor (strTenor));
- }
- @Override public double rate (
- final int iDate1,
- final int iDate2)
- throws java.lang.Exception
- {
- int iEpochDate = epoch().julian();
- if (iEpochDate > iDate1 || iDate1 >= iDate2)
- throw new java.lang.Exception ("MultilateralFlatForwardCurve::rate => Invalid Inputs");
- return 365.25 * java.lang.Math.log (df (iDate1) / df (iDate2)) / (iDate2 - iDate1);
- }
- @Override public double rate (
- final org.drip.analytics.date.JulianDate dt1,
- final org.drip.analytics.date.JulianDate dt2)
- throws java.lang.Exception
- {
- if (null == dt1 || null == dt2)
- throw new java.lang.Exception ("MultilateralFlatForwardCurve::rate => Invalid Inputs");
- return rate (
- dt1.julian(),
- dt2.julian()
- );
- }
- @Override public double rate (
- final java.lang.String strTenor1,
- final java.lang.String strTenor2)
- throws java.lang.Exception
- {
- org.drip.analytics.date.JulianDate dtEpoch = epoch();
- return rate (
- dtEpoch.addTenor (strTenor1),
- dtEpoch.addTenor (strTenor2)
- );
- }
- }