| 1 | /* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */ |
| 2 | |
| 3 | /* |
| 4 | Copyright (C) 2003 Ferdinando Ametrano |
| 5 | Copyright (C) 2001, 2002, 2003 Sadruddin Rejeb |
| 6 | Copyright (C) 2005 StatPro Italia srl |
| 7 | |
| 8 | This file is part of QuantLib, a free-software/open-source library |
| 9 | for financial quantitative analysts and developers - http://quantlib.org/ |
| 10 | |
| 11 | QuantLib is free software: you can redistribute it and/or modify it |
| 12 | under the terms of the QuantLib license. You should have received a |
| 13 | copy of the license along with this program; if not, please email |
| 14 | <quantlib-dev@lists.sf.net>. The license is also available online at |
| 15 | <http://quantlib.org/license.shtml>. |
| 16 | |
| 17 | This program is distributed in the hope that it will be useful, but WITHOUT |
| 18 | ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS |
| 19 | FOR A PARTICULAR PURPOSE. See the license for more details. |
| 20 | */ |
| 21 | |
| 22 | /*! \file binomialtree.hpp |
| 23 | \brief Binomial tree class |
| 24 | */ |
| 25 | |
| 26 | #ifndef quantlib_binomial_tree_hpp |
| 27 | #define quantlib_binomial_tree_hpp |
| 28 | |
| 29 | |
| 30 | #include <ql/methods/lattices/tree.hpp> |
| 31 | #include <ql/instruments/dividendschedule.hpp> |
| 32 | #include <ql/stochasticprocess.hpp> |
| 33 | |
| 34 | namespace QuantLib { |
| 35 | |
| 36 | //! Binomial tree base class |
| 37 | /*! \ingroup lattices */ |
| 38 | template <class T> |
| 39 | class BinomialTree : public Tree<T> { |
| 40 | public: |
| 41 | enum Branches { branches = 2 }; |
| 42 | BinomialTree(const ext::shared_ptr<StochasticProcess1D>& process, |
| 43 | Time end, |
| 44 | Size steps) |
| 45 | : Tree<T>(steps+1), x0_(process->x0()), dt_(end/steps) { |
| 46 | driftPerStep_ = process->drift(t: 0.0, x: x0_) * dt_; |
| 47 | } |
| 48 | Size size(Size i) const { |
| 49 | return i+1; |
| 50 | } |
| 51 | Size descendant(Size, Size index, Size branch) const { |
| 52 | return index + branch; |
| 53 | } |
| 54 | protected: |
| 55 | Real x0_, driftPerStep_; |
| 56 | Time dt_; |
| 57 | }; |
| 58 | |
| 59 | |
| 60 | //! Base class for equal probabilities binomial tree |
| 61 | /*! \ingroup lattices */ |
| 62 | template <class T> |
| 63 | class EqualProbabilitiesBinomialTree : public BinomialTree<T> { |
| 64 | public: |
| 65 | EqualProbabilitiesBinomialTree( |
| 66 | const ext::shared_ptr<StochasticProcess1D>& process, |
| 67 | Time end, |
| 68 | Size steps) |
| 69 | : BinomialTree<T>(process, end, steps) {} |
| 70 | Real underlying(Size i, Size index) const { |
| 71 | BigInteger j = 2*BigInteger(index) - BigInteger(i); |
| 72 | // exploiting the forward value tree centering |
| 73 | return this->x0_*std::exp(i*this->driftPerStep_ + j*this->up_); |
| 74 | } |
| 75 | Real probability(Size, Size, Size) const { return 0.5; } |
| 76 | protected: |
| 77 | Real up_; |
| 78 | }; |
| 79 | |
| 80 | |
| 81 | //! Base class for equal jumps binomial tree |
| 82 | /*! \ingroup lattices */ |
| 83 | template <class T> |
| 84 | class EqualJumpsBinomialTree : public BinomialTree<T> { |
| 85 | public: |
| 86 | EqualJumpsBinomialTree( |
| 87 | const ext::shared_ptr<StochasticProcess1D>& process, |
| 88 | Time end, |
| 89 | Size steps) |
| 90 | : BinomialTree<T>(process, end, steps) {} |
| 91 | Real underlying(Size i, Size index) const { |
| 92 | BigInteger j = 2*BigInteger(index) - BigInteger(i); |
| 93 | // exploiting equal jump and the x0_ tree centering |
| 94 | return this->x0_*std::exp(x: j*this->dx_); |
| 95 | } |
| 96 | Real probability(Size, Size, Size branch) const { |
| 97 | return (branch == 1 ? pu_ : pd_); |
| 98 | } |
| 99 | protected: |
| 100 | Real dx_, pu_, pd_; |
| 101 | }; |
| 102 | |
| 103 | |
| 104 | //! Jarrow-Rudd (multiplicative) equal probabilities binomial tree |
| 105 | /*! \ingroup lattices */ |
| 106 | class JarrowRudd : public EqualProbabilitiesBinomialTree<JarrowRudd> { |
| 107 | public: |
| 108 | JarrowRudd(const ext::shared_ptr<StochasticProcess1D>&, |
| 109 | Time end, |
| 110 | Size steps, |
| 111 | Real strike); |
| 112 | }; |
| 113 | |
| 114 | |
| 115 | //! Cox-Ross-Rubinstein (multiplicative) equal jumps binomial tree |
| 116 | /*! \ingroup lattices */ |
| 117 | class CoxRossRubinstein |
| 118 | : public EqualJumpsBinomialTree<CoxRossRubinstein> { |
| 119 | public: |
| 120 | CoxRossRubinstein(const ext::shared_ptr<StochasticProcess1D>&, |
| 121 | Time end, |
| 122 | Size steps, |
| 123 | Real strike); |
| 124 | }; |
| 125 | |
| 126 | |
| 127 | //! Additive equal probabilities binomial tree |
| 128 | /*! \ingroup lattices */ |
| 129 | class AdditiveEQPBinomialTree |
| 130 | : public EqualProbabilitiesBinomialTree<AdditiveEQPBinomialTree> { |
| 131 | public: |
| 132 | AdditiveEQPBinomialTree( |
| 133 | const ext::shared_ptr<StochasticProcess1D>&, |
| 134 | Time end, |
| 135 | Size steps, |
| 136 | Real strike); |
| 137 | }; |
| 138 | |
| 139 | |
| 140 | //! %Trigeorgis (additive equal jumps) binomial tree |
| 141 | /*! \ingroup lattices */ |
| 142 | class Trigeorgis : public EqualJumpsBinomialTree<Trigeorgis> { |
| 143 | public: |
| 144 | Trigeorgis(const ext::shared_ptr<StochasticProcess1D>&, |
| 145 | Time end, |
| 146 | Size steps, |
| 147 | Real strike); |
| 148 | }; |
| 149 | |
| 150 | |
| 151 | //! %Tian tree: third moment matching, multiplicative approach |
| 152 | /*! \ingroup lattices */ |
| 153 | class Tian : public BinomialTree<Tian> { |
| 154 | public: |
| 155 | Tian(const ext::shared_ptr<StochasticProcess1D>&, |
| 156 | Time end, |
| 157 | Size steps, |
| 158 | Real strike); |
| 159 | Real underlying(Size i, Size index) const { |
| 160 | return x0_ * std::pow(x: down_, y: Real(BigInteger(i)-BigInteger(index))) |
| 161 | * std::pow(x: up_, y: Real(index)); |
| 162 | }; |
| 163 | Real probability(Size, Size, Size branch) const { |
| 164 | return (branch == 1 ? pu_ : pd_); |
| 165 | } |
| 166 | protected: |
| 167 | Real up_, down_, pu_, pd_; |
| 168 | }; |
| 169 | |
| 170 | //! Leisen & Reimer tree: multiplicative approach |
| 171 | /*! \ingroup lattices */ |
| 172 | class LeisenReimer : public BinomialTree<LeisenReimer> { |
| 173 | public: |
| 174 | LeisenReimer(const ext::shared_ptr<StochasticProcess1D>&, |
| 175 | Time end, |
| 176 | Size steps, |
| 177 | Real strike); |
| 178 | Real underlying(Size i, Size index) const { |
| 179 | return x0_ * std::pow(x: down_, y: Real(BigInteger(i)-BigInteger(index))) |
| 180 | * std::pow(x: up_, y: Real(index)); |
| 181 | } |
| 182 | Real probability(Size, Size, Size branch) const { |
| 183 | return (branch == 1 ? pu_ : pd_); |
| 184 | } |
| 185 | protected: |
| 186 | Real up_, down_, pu_, pd_; |
| 187 | }; |
| 188 | |
| 189 | |
| 190 | class Joshi4 : public BinomialTree<Joshi4> { |
| 191 | public: |
| 192 | Joshi4(const ext::shared_ptr<StochasticProcess1D>&, |
| 193 | Time end, |
| 194 | Size steps, |
| 195 | Real strike); |
| 196 | Real underlying(Size i, Size index) const { |
| 197 | return x0_ * std::pow(x: down_, y: Real(BigInteger(i)-BigInteger(index))) |
| 198 | * std::pow(x: up_, y: Real(index)); |
| 199 | } |
| 200 | Real probability(Size, Size, Size branch) const { |
| 201 | return (branch == 1 ? pu_ : pd_); |
| 202 | } |
| 203 | protected: |
| 204 | Real computeUpProb(Real k, Real dj) const; |
| 205 | Real up_, down_, pu_, pd_; |
| 206 | }; |
| 207 | |
| 208 | |
| 209 | } |
| 210 | |
| 211 | |
| 212 | #endif |
| 213 | |