squarerootandersen.hpp

/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
 
/*
 Copyright (C) 2008 Mark Joshi
 
 This file is part of QuantLib, a free-software/open-source library
 for financial quantitative analysts and developers - http://quantlib.org/
 
 QuantLib is free software: you can redistribute it and/or modify it
 under the terms of the QuantLib license.  You should have received a
 copy of the license along with this program; if not, please email
 <quantlib-dev@lists.sf.net>. The license is also available online at
 <http://quantlib.org/license.shtml>.
 
 This program is distributed in the hope that it will be useful, but WITHOUT
 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
 FOR A PARTICULAR PURPOSE.  See the license for more details.
*/
 
#ifndef quantlib_square_root_andersen_hpp
#define quantlib_square_root_andersen_hpp
 
#include <ql/models/marketmodels/evolvers/marketmodelvolprocess.hpp>
 
namespace QuantLib 
{
 
  
    class SquareRootAndersen  : public MarketModelVolProcess
    {
      public:
          SquareRootAndersen(Real meanLevel,
                             Real reversionSpeed,
                             Real volVar,
                             Real v0,
                             const std::vector<Real>& evolutionTimes,
                             Size numberSubSteps_,
                             Real w1,
                             Real w2,
                             Real cutPoint = 1.5);
 
          Size variatesPerStep() override;
          Size numberSteps() override;
 
          void nextPath() override;
          Real nextstep(const std::vector<Real>& variates) override;
          Real stepSd() const override;
 
          const std::vector<Real>& stateVariables() const override;
          Size numberStateVariables() const override;
 
        private:
 
          void DoOneSubStep(Real& v, Real variate, Size j);
 
          Real theta_; // mean level
 
          Real k_; // reversion speed
          Real epsilon_; // volvar
 
          Real v0_; // initial value of instantaneous variance
          Size numberSubSteps_; // sub steps per evolution time 
 
 
          std::vector<Real> dt_; // time step lengths
          std::vector<Real> eMinuskDt_; // exp( - k * dt) 
 
          Real w1_; // weights to use for computing variance across step
          Real w2_; 
          Real PsiC_; // cut-off between two types of evolution
 
          Real v_;
          Size currentStep_;
          Size subStep_;
          std::vector<Real> vPath_;
 
          mutable std::vector<Real> state_;
 
    };
 
}
 
#endif