/src/quantlib/ql/methods/lattices/binomialtree.hpp
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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 | | <https://www.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 | 0 | : Tree<T>(steps+1), x0_(process->x0()), dt_(end/steps) { |
46 | 0 | driftPerStep_ = process->drift(0.0, x0_) * dt_; |
47 | 0 | } Unexecuted instantiation: QuantLib::BinomialTree<QuantLib::JarrowRudd>::BinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::BinomialTree<QuantLib::CoxRossRubinstein>::BinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::BinomialTree<QuantLib::AdditiveEQPBinomialTree>::BinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::BinomialTree<QuantLib::Trigeorgis>::BinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::BinomialTree<QuantLib::Tian>::BinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::BinomialTree<QuantLib::LeisenReimer>::BinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::BinomialTree<QuantLib::Joshi4>::BinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) |
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 | 0 | : BinomialTree<T>(process, end, steps) {}Unexecuted instantiation: QuantLib::EqualProbabilitiesBinomialTree<QuantLib::JarrowRudd>::EqualProbabilitiesBinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::EqualProbabilitiesBinomialTree<QuantLib::AdditiveEQPBinomialTree>::EqualProbabilitiesBinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) |
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 | 0 | : BinomialTree<T>(process, end, steps) {}Unexecuted instantiation: QuantLib::EqualJumpsBinomialTree<QuantLib::CoxRossRubinstein>::EqualJumpsBinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) Unexecuted instantiation: QuantLib::EqualJumpsBinomialTree<QuantLib::Trigeorgis>::EqualJumpsBinomialTree(boost::shared_ptr<QuantLib::StochasticProcess1D> const&, double, unsigned long) |
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(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 | 0 | Real underlying(Size i, Size index) const { |
160 | 0 | return x0_ * std::pow(down_, Real(BigInteger(i)-BigInteger(index))) |
161 | 0 | * std::pow(up_, Real(index)); |
162 | 0 | }; |
163 | 0 | Real probability(Size, Size, Size branch) const { |
164 | 0 | return (branch == 1 ? pu_ : pd_); |
165 | 0 | } |
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 | 0 | Real underlying(Size i, Size index) const { |
179 | 0 | return x0_ * std::pow(down_, Real(BigInteger(i)-BigInteger(index))) |
180 | 0 | * std::pow(up_, Real(index)); |
181 | 0 | } |
182 | 0 | Real probability(Size, Size, Size branch) const { |
183 | 0 | return (branch == 1 ? pu_ : pd_); |
184 | 0 | } |
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 | 0 | Real underlying(Size i, Size index) const { |
197 | 0 | return x0_ * std::pow(down_, Real(BigInteger(i)-BigInteger(index))) |
198 | 0 | * std::pow(up_, Real(index)); |
199 | 0 | } |
200 | 0 | Real probability(Size, Size, Size branch) const { |
201 | 0 | return (branch == 1 ? pu_ : pd_); |
202 | 0 | } |
203 | | protected: |
204 | | Real computeUpProb(Real k, Real dj) const; |
205 | | Real up_, down_, pu_, pd_; |
206 | | }; |
207 | | |
208 | | |
209 | | } |
210 | | |
211 | | |
212 | | #endif |