GapTestOutcome.java
- package org.drip.validation.distance;
- /*
- * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
- */
- /*!
- * Copyright (C) 2020 Lakshmi Krishnamurthy
- * Copyright (C) 2019 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>GapTestOutcome</i> holds the Outcomes of a Distance Test of a Sample from the Hypothesis.
- *
- * <br><br>
- * <ul>
- * <li>
- * Anfuso, F., D. Karyampas, and A. Nawroth (2017): A Sound Basel III Compliant Framework for
- * Back-testing Credit Exposure Models
- * https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2264620 <b>eSSRN</b>
- * </li>
- * <li>
- * Diebold, F. X., T. A. Gunther, and A. S. Tay (1998): Evaluating Density Forecasts with
- * Applications to Financial Risk Management, International Economic Review 39 (4) 863-883
- * </li>
- * <li>
- * Kenyon, C., and R. Stamm (2012): <i>Discounting, LIBOR, CVA, and Funding: Interest Rate and
- * Credit Pricing</i> <b>Palgrave Macmillan</b>
- * </li>
- * <li>
- * Wikipedia (2018): Probability Integral Transform
- * https://en.wikipedia.org/wiki/Probability_integral_transform
- * </li>
- * <li>
- * Wikipedia (2019): p-value https://en.wikipedia.org/wiki/P-value
- * </li>
- * </ul>
- *
- * <br><br>
- * <ul>
- * <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
- * <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ModelValidationAnalyticsLibrary.md">Model Validation Analytics Library</a></li>
- * <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/validation/README.md">Risk Factor and Hypothesis Validation, Evidence Processing, and Model Testing</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/validation/distance/README.md">Hypothesis Target Distance Test Builders</a></li>
- * </ul>
- * <br><br>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class GapTestOutcome
- {
- private double _distance = java.lang.Double.NaN;
- private org.drip.validation.hypothesis.ProbabilityIntegralTransform
- _probabilityIntegralTransformWeighted = null;
- private org.drip.validation.hypothesis.ProbabilityIntegralTransform
- _probabilityIntegralTransformUnweighted = null;
- /**
- * GapTestOutcome Constructor
- *
- * @param probabilityIntegralTransformUnweighted The Probability Integral Transform of the Raw Gap Losses
- * @param probabilityIntegralTransformWeighted The Probability Integral Transform of the Weighted Gap
- * Losses
- * @param distance Distance Metric
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- */
- public GapTestOutcome (
- final org.drip.validation.hypothesis.ProbabilityIntegralTransform
- probabilityIntegralTransformUnweighted,
- final org.drip.validation.hypothesis.ProbabilityIntegralTransform
- probabilityIntegralTransformWeighted,
- final double distance)
- throws java.lang.Exception
- {
- if (null == (_probabilityIntegralTransformUnweighted = probabilityIntegralTransformUnweighted) ||
- null == (_probabilityIntegralTransformWeighted = probabilityIntegralTransformWeighted) ||
- !org.drip.numerical.common.NumberUtil.IsValid (_distance = distance))
- {
- throw new java.lang.Exception ("GapTestOutcome Constructor => Invalid Inputs");
- }
- }
- /**
- * Retrieve the Probability Integral Transform of the Raw Gap Losses
- *
- * @return The Probability Integral Transform of the Raw Gap Losses
- */
- public org.drip.validation.hypothesis.ProbabilityIntegralTransform
- probabilityIntegralTransformUnweighted()
- {
- return _probabilityIntegralTransformUnweighted;
- }
- /**
- * Retrieve the Probability Integral Transform of the Weighted Gap Losses
- *
- * @return The Probability Integral Transform of the Weighted Gap Losses
- */
- public org.drip.validation.hypothesis.ProbabilityIntegralTransform probabilityIntegralTransformWeighted()
- {
- return _probabilityIntegralTransformWeighted;
- }
- /**
- * Retrieve the Outcome Distance Metric
- *
- * @return The Outcome Distance Metric
- */
- public double distance()
- {
- return _distance;
- }
- }