BurgardKjaerEdge.java
- package org.drip.xva.pde;
- /*
- * -*- 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
- * Copyright (C) 2017 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>BurgardKjaerEdge</i> holds the Underlier Stochastic and the Credit Risk Free Components of the XVA
- * Derivative Value Growth, as laid out in Burgard and Kjaer (2014). The References are:
- *
- * <br><br>
- * <ul>
- * <li>
- * Burgard, C., and M. Kjaer (2014): PDE Representations of Derivatives with Bilateral Counter-party
- * Risk and Funding Costs <i>Journal of Credit Risk</i> <b>7 (3)</b> 1-19
- * </li>
- * <li>
- * Cesari, G., J. Aquilina, N. Charpillon, X. Filipovic, G. Lee, and L. Manda (2009): <i>Modeling,
- * Pricing, and Hedging Counter-party Credit Exposure - A Technical Guide</i> <b>Springer
- * Finance</b> New York
- * </li>
- * <li>
- * Gregory, J. (2009): Being Two-faced over Counter-party Credit Risk <i>Risk</i> <b>20 (2)</b>
- * 86-90
- * </li>
- * <li>
- * Li, B., and Y. Tang (2007): <i>Quantitative Analysis, Derivatives Modeling, and Trading
- * Strategies in the Presence of Counter-party Credit Risk for the Fixed Income Market</i>
- * <b>World Scientific Publishing</b> Singapore
- * </li>
- * <li>
- * Piterbarg, V. (2010): Funding Beyond Discounting: Collateral Agreements and Derivatives Pricing
- * <i>Risk</i> <b>21 (2)</b> 97-102
- * </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/XVAAnalyticsLibrary.md">XVA Analytics Library</a></li>
- * <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/xva/README.md">Valuation Adjustments that account for Collateral, CC Credit/Debt and Funding Overhead</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/xva/pde/README.md">Burgard Kjaer PDE Evolution Scheme</a></li>
- * </ul>
- * <br><br>
- *
- * @author Lakshmi Krishnamurthy
- */
- public abstract class BurgardKjaerEdge
- {
- private double _positionValueBump = java.lang.Double.NaN;
- private double _derivativeXVACollateralGrowth = java.lang.Double.NaN;
- private double _derivativeXVAStochasticGrowth = java.lang.Double.NaN;
- private double _derivativeXVAStochasticGrowthUp = java.lang.Double.NaN;
- private double _derivativeXVAStochasticGrowthDown = java.lang.Double.NaN;
- protected BurgardKjaerEdge (
- final double positionValueBump,
- final double derivativeXVAStochasticGrowthDown,
- final double derivativeXVAStochasticGrowth,
- final double derivativeXVAStochasticGrowthUp,
- final double derivativeXVACollateralGrowth)
- throws java.lang.Exception
- {
- if (!org.drip.numerical.common.NumberUtil.IsValid (_positionValueBump = positionValueBump) ||
- !org.drip.numerical.common.NumberUtil.IsValid (_derivativeXVAStochasticGrowthDown =
- derivativeXVAStochasticGrowthDown) ||
- !org.drip.numerical.common.NumberUtil.IsValid (_derivativeXVAStochasticGrowth =
- derivativeXVAStochasticGrowth) ||
- !org.drip.numerical.common.NumberUtil.IsValid (_derivativeXVAStochasticGrowthUp =
- derivativeXVAStochasticGrowthUp) ||
- !org.drip.numerical.common.NumberUtil.IsValid (_derivativeXVACollateralGrowth =
- derivativeXVACollateralGrowth))
- {
- throw new java.lang.Exception ("BurgardKjaerEdge Constructor => Invalid Inputs");
- }
- }
- /**
- * Retrieve the Position Value Bump
- *
- * @return The Position Value Bump
- */
- public double positionValueBump()
- {
- return _positionValueBump;
- }
- /**
- * Retrieve the Stochastic Down Component of the Derivative XVA Value
- *
- * @return The Stochastic Down Component of the Derivative XVA Value
- */
- public double derivativeXVAStochasticGrowthDown()
- {
- return _derivativeXVAStochasticGrowthDown;
- }
- /**
- * Retrieve the Stochastic Component of the Derivative XVA Value Growth
- *
- * @return The Stochastic Component of the Derivative XVA Value Growth
- */
- public double derivativeXVAStochasticGrowth()
- {
- return _derivativeXVAStochasticGrowth;
- }
- /**
- * Retrieve the Stochastic Up Component of the Derivative XVA Value
- *
- * @return The Stochastic Up Component of the Derivative XVA Value
- */
- public double derivativeXVAStochasticGrowthUp()
- {
- return _derivativeXVAStochasticGrowthUp;
- }
- /**
- * Retrieve the Collateral Component of the Derivative XVA Value Growth
- *
- * @return The Collateral Component of the Derivative XVA Value Growth
- */
- public double derivativeXVACollateralGrowth()
- {
- return _derivativeXVACollateralGrowth;
- }
- /**
- * Compute the Gross Theta from Position Value Down
- *
- * @return The Gross Theta from Position Value Down
- */
- public abstract double thetaPositionValueDown();
- /**
- * Compute the Gross Theta from Position Value Base
- *
- * @return The Gross Theta from Position Value Base
- */
- public abstract double theta();
- /**
- * Compute the Gross Theta from Position Value Up
- *
- * @return The Gross Theta from Position Value Up
- */
- public abstract double thetaPositionValueUp();
- }