/** * Copyright (C) 2009 - present by OpenGamma Inc. and the OpenGamma group of companies * * Please see distribution for license. */ package com.opengamma.analytics.financial.model.volatility.smile.function; import org.apache.commons.lang.NotImplementedException; import org.apache.commons.lang.Validate; import com.opengamma.analytics.financial.model.option.pricing.analytic.formula.BlackFunctionData; import com.opengamma.analytics.financial.model.option.pricing.analytic.formula.CEVFunctionData; import com.opengamma.analytics.financial.model.option.pricing.analytic.formula.CEVPriceFunction; import com.opengamma.analytics.financial.model.option.pricing.analytic.formula.EuropeanVanillaOption; import com.opengamma.analytics.financial.model.volatility.BlackImpliedVolatilityFormula; import com.opengamma.analytics.math.function.Function1D; import com.opengamma.util.CompareUtils; /** * From the paper Johnson & Nonas, Arbitrage-free construction of the swaption cube (2009). <b>Note:</b> truncation weight does not seem to work */ public class SABRJohnsonVolatilityFunction extends VolatilityFunctionProvider<SABRFormulaData> { private static final double EPS = 1e-15; private static final CEVPriceFunction CEV_FUNCTION = new CEVPriceFunction(); private static final BlackImpliedVolatilityFormula BLACK_IMPLIED_VOL = new BlackImpliedVolatilityFormula(); @Override public Function1D<SABRFormulaData, Double> getVolatilityFunction(final EuropeanVanillaOption option, final double forward) { Validate.notNull(option, "option"); final double k = option.getStrike(); final double t = option.getTimeToExpiry(); final Function1D<CEVFunctionData, Double> priceFunction = CEV_FUNCTION.getPriceFunction(option); return new Function1D<SABRFormulaData, Double>() { @SuppressWarnings("synthetic-access") @Override public final Double evaluate(final SABRFormulaData data) { Validate.notNull(data, "data"); final double alpha = data.getAlpha(); final double beta = data.getBeta(); final double rho = data.getRho(); final double nu = data.getNu(); if (CompareUtils.closeEquals(nu, 0, EPS)) { if (CompareUtils.closeEquals(beta, 1.0, EPS)) { return alpha; // this is just log-normal } throw new NotImplementedException("Have not implemented the case where nu = 0, beta != 0"); } if (beta > 0) { final double sigmaDD = alpha * beta * Math.pow(forward, beta - 1); final double eta = (1 - beta) / beta * forward; double sigmaBlend; if (CompareUtils.closeEquals(forward, k, EPS)) { sigmaBlend = sigmaDD; } else { final double z = nu / sigmaDD * Math.log((forward + eta) / (k + eta)); final double sigmaBBF = sigmaDD * z / Math.log((z - rho + Math.sqrt(1 - 2 * rho * z + z * z)) / (1 - rho)); final double sigmaTrunc = sigmaDD * Math.pow(1 - 4 * rho * z + (4.0 / 3.0 + 5 * rho * rho) * z * z, 1.0 / 8.0); final double w = Math.min(1.0, 1.0 / nu / Math.sqrt(t)); sigmaBlend = 1.0 / (w / sigmaBBF + (1 - w) / sigmaTrunc); } sigmaBlend *= 1 + (rho * nu * sigmaDD / 4 + (2 - 3 * rho * rho) * nu * nu / 24) * t; final double sigmaCEV = sigmaBlend * Math.pow(forward, 1 - beta) / beta; final CEVFunctionData cevData = new CEVFunctionData(forward, 1, sigmaCEV, beta); final double price = priceFunction.evaluate(cevData); return BLACK_IMPLIED_VOL.getImpliedVolatility(new BlackFunctionData(forward, 1, sigmaCEV), option, price); } throw new NotImplementedException("Have not implemented the case where b <= 0"); } }; } @Override public int hashCode() { return toString().hashCode(); } @Override public boolean equals(final Object obj) { if (obj == null) { return false; } if (this == obj) { return true; } if (getClass() != obj.getClass()) { return false; } return true; } @Override public String toString() { return "SABR (Johnson)"; } }