BasisSplineGovvieYield.java
package org.drip.state.curve;
/*
* -*- 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
* Copyright (C) 2016 Lakshmi Krishnamurthy
* Copyright (C) 2015 Lakshmi Krishnamurthy
* Copyright (C) 2014 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>BasisSplineGovvieYield</i> manages the Basis Spline Latent State, using the Basis as the State Response
* Representation, for the Govvie Curve with Yield Quantification Metric.
*
* <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/curve/README.md">Basis Spline Based Latent States</a></li>
* </ul>
* <br><br>
*
* @author Lakshmi Krishnamurthy
*/
public class BasisSplineGovvieYield extends org.drip.state.govvie.GovvieCurve {
private org.drip.spline.grid.Span _span = null;
/**
* BasisSplineGovvieYield Constructor
*
* @param strTreasuryCode Treasury Code
* @param strCurrency Currency
* @param span Govvie Curve Span
*
* @throws java.lang.Exception Thrown if the Inputs are Invalid
*/
public BasisSplineGovvieYield (
final java.lang.String strTreasuryCode,
final java.lang.String strCurrency,
final org.drip.spline.grid.Span span)
throws java.lang.Exception
{
super ((int) span.left(), strTreasuryCode, strCurrency);
_span = span;
}
@Override public double yield (
final int iDate)
throws java.lang.Exception
{
double dblSpanLeft = _span.left();
if (iDate <= dblSpanLeft) return _span.calcResponseValue (dblSpanLeft);
double dblSpanRight = _span.right();
if (iDate >= dblSpanRight) return _span.calcResponseValue (dblSpanRight);
return _span.calcResponseValue (iDate);
}
@Override public org.drip.numerical.differentiation.WengertJacobian jackDForwardDManifestMeasure (
final java.lang.String strManifestMeasure,
final int iDate)
{
return _span.jackDResponseDManifestMeasure (strManifestMeasure, iDate, 1);
}
/**
* Construct a Flat Forward Instance of the Curve at the specified Date Nodes
*
* @param aiDate Array of Date Nodes
*
* @return The Flat Forward Instance
*/
public org.drip.state.nonlinear.FlatForwardDiscountCurve flatForward (
final int[] aiDate)
{
return flatForward (dayCount(), freq(), aiDate);
}
/**
* Construct a Flat Forward Instance of the Curve at the specified Date Node Tenors
*
* @param astrTenor Array of Date Node Tenors
*
* @return The Flat Forward Instance
*/
public org.drip.state.nonlinear.FlatForwardDiscountCurve flatForward (
final java.lang.String[] astrTenor)
{
if (null == astrTenor) return null;
int iNumTenor = astrTenor.length;
int[] aiDate = 0 == iNumTenor ? null : new int[iNumTenor];
org.drip.analytics.date.JulianDate dtEpoch = epoch();
for (int i = 0; i < iNumTenor; ++i) {
try {
aiDate[i] = dtEpoch.addTenor (astrTenor[i]).julian();
} catch (java.lang.Exception e) {
e.printStackTrace();
return null;
}
}
return flatForward (dayCount(), freq(), aiDate);
}
}