| 1 | /* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */ |
| 2 | |
| 3 | /* |
| 4 | Copyright (C) 2005, 2007, 2009, 2014 Klaus Spanderen |
| 5 | |
| 6 | This file is part of QuantLib, a free-software/open-source library |
| 7 | for financial quantitative analysts and developers - http://quantlib.org/ |
| 8 | |
| 9 | QuantLib is free software: you can redistribute it and/or modify it |
| 10 | under the terms of the QuantLib license. You should have received a |
| 11 | copy of the license along with this program; if not, please email |
| 12 | <quantlib-dev@lists.sf.net>. The license is also available online at |
| 13 | <http://quantlib.org/license.shtml>. |
| 14 | |
| 15 | This program is distributed in the hope that it will be useful, but WITHOUT |
| 16 | ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS |
| 17 | FOR A PARTICULAR PURPOSE. See the license for more details. |
| 18 | */ |
| 19 | |
| 20 | /*! \file hestonprocess.hpp |
| 21 | \brief Heston stochastic process |
| 22 | */ |
| 23 | |
| 24 | #ifndef quantlib_heston_process_hpp |
| 25 | #define quantlib_heston_process_hpp |
| 26 | |
| 27 | #include <ql/stochasticprocess.hpp> |
| 28 | #include <ql/termstructures/yieldtermstructure.hpp> |
| 29 | #include <ql/quote.hpp> |
| 30 | |
| 31 | namespace QuantLib { |
| 32 | |
| 33 | //! Square-root stochastic-volatility Heston process |
| 34 | /*! This class describes the square root stochastic volatility |
| 35 | process governed by |
| 36 | \f[ |
| 37 | \begin{array}{rcl} |
| 38 | dS(t, S) &=& \mu S dt + \sqrt{v} S dW_1 \\ |
| 39 | dv(t, S) &=& \kappa (\theta - v) dt + \sigma \sqrt{v} dW_2 \\ |
| 40 | dW_1 dW_2 &=& \rho dt |
| 41 | \end{array} |
| 42 | \f] |
| 43 | |
| 44 | \ingroup processes |
| 45 | */ |
| 46 | class HestonProcess : public StochasticProcess { |
| 47 | public: |
| 48 | enum Discretization { PartialTruncation, |
| 49 | FullTruncation, |
| 50 | Reflection, |
| 51 | NonCentralChiSquareVariance, |
| 52 | QuadraticExponential, |
| 53 | QuadraticExponentialMartingale, |
| 54 | BroadieKayaExactSchemeLobatto, |
| 55 | BroadieKayaExactSchemeLaguerre, |
| 56 | BroadieKayaExactSchemeTrapezoidal }; |
| 57 | |
| 58 | HestonProcess(Handle<YieldTermStructure> riskFreeRate, |
| 59 | Handle<YieldTermStructure> dividendYield, |
| 60 | Handle<Quote> s0, |
| 61 | Real v0, |
| 62 | Real kappa, |
| 63 | Real theta, |
| 64 | Real sigma, |
| 65 | Real rho, |
| 66 | Discretization d = QuadraticExponentialMartingale); |
| 67 | |
| 68 | Size size() const override; |
| 69 | Size factors() const override; |
| 70 | |
| 71 | Array initialValues() const override; |
| 72 | Array drift(Time t, const Array& x) const override; |
| 73 | Matrix diffusion(Time t, const Array& x) const override; |
| 74 | Array apply(const Array& x0, const Array& dx) const override; |
| 75 | Array evolve(Time t0, const Array& x0, Time dt, const Array& dw) const override; |
| 76 | |
| 77 | Real v0() const { return v0_; } |
| 78 | Real rho() const { return rho_; } |
| 79 | Real kappa() const { return kappa_; } |
| 80 | Real theta() const { return theta_; } |
| 81 | Real sigma() const { return sigma_; } |
| 82 | |
| 83 | const Handle<Quote>& s0() const; |
| 84 | const Handle<YieldTermStructure>& dividendYield() const; |
| 85 | const Handle<YieldTermStructure>& riskFreeRate() const; |
| 86 | |
| 87 | Time time(const Date&) const override; |
| 88 | |
| 89 | // probability densitiy function, |
| 90 | // semi-analytical solution of the Fokker-Planck equation in x=ln(s) |
| 91 | Real pdf(Real x, Real v, Time t, Real eps=1e-3) const; |
| 92 | |
| 93 | private: |
| 94 | Real varianceDistribution(Real v, Real dw, Time dt) const; |
| 95 | |
| 96 | Handle<YieldTermStructure> riskFreeRate_, dividendYield_; |
| 97 | Handle<Quote> s0_; |
| 98 | Real v0_, kappa_, theta_, sigma_, rho_; |
| 99 | Discretization discretization_; |
| 100 | }; |
| 101 | } |
| 102 | #endif |
| 103 | |