Ejemplo n.º 1
0
        public static IInterpolator1D GenerateCompositeSmileB(this IVolSurface surface, IVolSurface fxSurface, int numSamples, DateTime expiry, double fwdAsset, double fwdFx, double correlation, bool strikesInDeltaSpace = false)
        {
            var t     = surface.OriginDate.CalculateYearFraction(expiry, DayCountBasis.Act365F);
            var fxInv = new InverseFxSurface("fxInv", fxSurface as IATMVolSurface, null);

            var atmFx = fxSurface.GetVolForDeltaStrike(0.5, t, fwdFx);
            var atmA  = surface.GetVolForDeltaStrike(0.5, t, fwdAsset);

            var compoFwd = fwdAsset * fwdFx;
            var atmCompo = Sqrt(atmFx * atmFx + atmA * atmA + 2.0 * correlation * atmA * atmFx);
            var lowK     = BlackFunctions.AbsoluteStrikefromDeltaKAnalytic(compoFwd, -0.01, 0, t, atmCompo);
            var hiK      = BlackFunctions.AbsoluteStrikefromDeltaKAnalytic(compoFwd, -0.99, 0, t, atmCompo);

            //var cdfInvFx = fxSurface.GenerateCDF2(numSamples * 10, expiry, fwdFx, true);
            //var cdfInvAsset = surface.GenerateCDF2(numSamples * 10, expiry, fwdAsset, true);
            //var yFx = new Func<double, double>(z => cdfInvFx.Interpolate(Statistics.NormSDist(z)));
            //var yAsset = new Func<double, double>(z => cdfInvAsset.Interpolate(Statistics.NormSDist(z)));

            var fxCDFCache    = new Dictionary <double, double>();
            var assetCDFCache = new Dictionary <double, double>();
            var yFx           = new Func <double, double>(z =>
            {
                if (fxCDFCache.TryGetValue(z, out var K))
                {
                    return(K);
                }
                K = fxInv.InverseCDF(expiry, 1.0 / fwdFx, Statistics.NormSDist(z));
                fxCDFCache.Add(z, K);
                return(K);
            });
            var yAsset = new Func <double, double>(z =>
            {
                if (assetCDFCache.TryGetValue(z, out var K))
                {
                    return(K);
                }
                K = surface.InverseCDF(expiry, fwdAsset, Statistics.NormSDist(z));
                assetCDFCache.Add(z, K);
                return(K);
            });

            //var fxCDFCache = new Dictionary<double, double>();
            //var assetCDFCache = new Dictionary<double, double>();
            //var putFx = fxInv.GeneratePremiumInterpolator(numSamples * 10, expiry, 1.0/fwdFx, OptionType.P);
            //var putAsset = surface.GeneratePremiumInterpolator(numSamples * 10, expiry, fwdAsset, OptionType.P);
            //var yFx = new Func<double, double>(z =>
            //{
            //    if (fxCDFCache.TryGetValue(z, out var K)) return K;
            //    K = InverseCDF(putFx, t, 1.0/fwdFx, Statistics.NormSDist(z));
            //    fxCDFCache.Add(z, K);
            //    return K;
            //});
            //var yAsset = new Func<double, double>(z =>
            //{
            //    if (assetCDFCache.TryGetValue(z, out var K)) return K;
            //    K = InverseCDF(putAsset, t, fwdAsset, Statistics.NormSDist(z));
            //    var kl = assetCDFCache.Keys.ToList();
            //    var closerIx = kl.BinarySearch(z);
            //    var keyIx = ~closerIx;
            //    if (closerIx < 0 && z < 0 && kl.Count > keyIx)
            //    {
            //        if (assetCDFCache[kl[keyIx]] < K)
            //            K = assetCDFCache[kl[keyIx]];
            //    }
            //    assetCDFCache.Add(z, K);
            //    return K;
            //});

            var payoff    = new Func <double, double, double, double>((z1, z2, kQ) => Max(kQ * yFx(z2) - yAsset(z1), 0));
            var integrand = new Func <double, double, double, double>((z1, z2, kQ) => payoff(z1, z2, kQ) * BivariateNormal.PDF(z1, z2, -correlation));

            var kStep    = (hiK - lowK) / numSamples;
            var ks       = Enumerable.Range(0, numSamples).Select(kk => lowK + kk * kStep).ToArray();
            var premiums = new double[ks.Length];
            var vols     = new double[ks.Length];

            for (var i = 0; i < ks.Length; i++)
            {
                var ik = new Func <double, double, double>((z1, z2) => integrand(z1, z2, ks[i]));
                var pk = Integration.TwoDimensionalGaussLegendre(ik, -5, 5, -5, 5, 16);
                //var pk = Integration.TwoDimensionalSimpsons(ik, -5, 5, -5, 5, 100);
                pk *= fwdFx;
                var volK = BlackFunctions.BlackImpliedVol(compoFwd, ks[i], 0.0, t, pk, OptionType.P);
                vols[i]     = volK;
                premiums[i] = pk;
            }


            if (strikesInDeltaSpace)
            {
                ks = ks.Select((ak, ix) => - BlackFunctions.BlackDelta(compoFwd, ak, 0.0, t, vols[ix], OptionType.P)).ToArray();
            }

            return(InterpolatorFactory.GetInterpolator(ks, vols, Interpolator1DType.CubicSpline));
        }
Ejemplo n.º 2
0
        public static IInterpolator1D GenerateCompositeSmile(this IVolSurface surface, IVolSurface fxSurface, int numSamples, DateTime expiry, double fwdAsset, double fwdFx, double rho, bool strikesInDeltaSpace = false)
        {
            var t = surface.OriginDate.CalculateYearFraction(expiry, DayCountBasis.Act365F);

            var atmFx = fxSurface.GetVolForDeltaStrike(0.5, t, fwdFx);
            var atmA  = surface.GetVolForDeltaStrike(0.5, t, fwdAsset);

            var compoFwd = fwdAsset / fwdFx;
            var atmCompo = Sqrt(atmFx * atmFx + atmA * atmA + 2.0 * rho * atmA * atmFx);
            var lowK     = BlackFunctions.AbsoluteStrikefromDeltaKAnalytic(compoFwd, -0.01, 0, t, atmCompo);
            var hiK      = BlackFunctions.AbsoluteStrikefromDeltaKAnalytic(compoFwd, -0.99, 0, t, atmCompo);

            var nuA  = Sqrt(t) * atmA;
            var nuFx = Sqrt(t) * atmFx;

            var cdfFx = new Func <double, double>(k => fxSurface.CDF(expiry, fwdFx, Exp(k)));
            var cdfA  = new Func <double, double>(k => surface.CDF(expiry, fwdAsset, Exp(k)));

            var fxCDFCache    = new Dictionary <double, double>();
            var assetCDFCache = new Dictionary <double, double>();
            var yFx           = new Func <double, double>(z =>
            {
                if (fxCDFCache.TryGetValue(z, out var K))
                {
                    return(K);
                }
                K = Log(fxSurface.InverseCDF(expiry, fwdFx, Statistics.NormSDist(z)));
                fxCDFCache.Add(z, K);
                return(K);
            });
            var yA = new Func <double, double>(z =>
            {
                if (assetCDFCache.TryGetValue(z, out var K))
                {
                    return(K);
                }
                K = Log(surface.InverseCDF(expiry, fwdAsset, Statistics.NormSDist(z)));
                assetCDFCache.Add(z, K);
                return(K);
            });

            //var zfxS = new Func<double, double, double>((zA, K) => Statistics.NormInv(Max(1e-18, Min(1.0 - 1e-18, cdfFx(yA(zA) - Log(K))))));
            //var zAs = new Func<double, double, double>((zFx, K) => Statistics.NormInv(Max(1e-18, Min(1.0 - 1e-18, cdfA(yFx(zFx) + Log(K))))));
            var zfxS = new Func <double, double, double>((zA, K) => Statistics.NormInv(cdfFx(yA(zA) - Log(K))));
            var zAs  = new Func <double, double, double>((zFx, K) => Statistics.NormInv(cdfA(yFx(zFx) + Log(K))));

            var d  = -1.0;
            var p2 = 1.0 / Sqrt(2.0 * PI);
            //var I1 = new Func<double, double, double>((zA, K) =>
            //p2*Exp(yA(zA) - (nuA * zA - nuA * nuA / 2)) * Statistics.NormSDist(d * (zfxS(zA, K) - rho * zA) / Sqrt(1 - rho * rho)) * Exp(-(zA - nuA) * (zA - nuA) / 2.0)
            //    );
            //var I2 = new Func<double, double, double>((zFx, K) =>
            //p2*Exp(yFx(zFx) - (nuFx * zFx - nuFx * nuFx / 2)) * Statistics.NormSDist(-d * (zAs(zFx, K) - rho * zFx) / Sqrt(1 - rho * rho)) * Exp(-(zFx - nuFx) * (zFx - nuFx) / 2.0)
            //    );
            var I1 = new Func <double, double, double>((zA, K) =>
                                                       p2 * Exp(yA(zA)) * Statistics.NormSDist(d * (zfxS(zA, K) - rho * zA) / Sqrt(1 - rho * rho)) * Exp(-(zA * zA) / 2.0)
                                                       );
            var I2 = new Func <double, double, double>((zFx, K) =>
                                                       p2 * Exp(yFx(zFx)) * Statistics.NormSDist(-d * (zAs(zFx, K) - rho * zFx) / Sqrt(1 - rho * rho)) * Exp(-(zFx * zFx) / 2.0)
                                                       );


            var kStep    = (hiK - lowK) / numSamples;
            var ks       = Enumerable.Range(0, numSamples).Select(kk => lowK + kk * kStep).ToArray();
            var premiums = new double[ks.Length];
            var vols     = new double[ks.Length];

            for (var i = 0; i < ks.Length; i++)
            {
                var I1k = new Func <double, double>(z => I1(z, ks[i]));
                var I2k = new Func <double, double>(z => I2(z, ks[i]));

                //var i1 = Integration.GaussLegendre(I1k, -5, 5, 16);
                //var i2 = Integration.GaussLegendre(I2k, -5, 5, 16);
                var i1 = Integration.SimpsonsRule(I1k, -5, 5, numSamples);
                var i2 = Integration.SimpsonsRule(I2k, -5, 5, numSamples);
                var pk = d * (i1 - ks[i] * i2);
                pk /= fwdFx;
                var volK = BlackFunctions.BlackImpliedVol(compoFwd, ks[i], 0.0, t, pk, OptionType.P);
                vols[i]     = volK;
                premiums[i] = pk;
            }


            if (strikesInDeltaSpace)
            {
                ks = ks.Select((ak, ix) => - BlackFunctions.BlackDelta(compoFwd, ak, 0.0, t, vols[ix], OptionType.P)).ToArray();
            }

            return(InterpolatorFactory.GetInterpolator(ks, vols, Interpolator1DType.CubicSpline));
        }