This file is indexed.

/usr/include/ql/termstructures/yield/bootstraptraits.hpp is in libquantlib0-dev 1.1-2build1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */

/*
 Copyright (C) 2005, 2007 StatPro Italia srl
 Copyright (C) 2007 Chris Kenyon

 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.
*/

/*! \file bootstraptraits.hpp
    \brief bootstrap traits
*/

#ifndef ql_bootstrap_traits_hpp
#define ql_bootstrap_traits_hpp

#include <ql/termstructures/yield/discountcurve.hpp>
#include <ql/termstructures/yield/zerocurve.hpp>
#include <ql/termstructures/yield/forwardcurve.hpp>
#include <ql/termstructures/bootstraphelper.hpp>

namespace QuantLib {

    namespace detail {
        const Rate avgRate = 0.05;
    }

    //! Discount-curve traits
    struct Discount {
        // interpolated curve type
        template <class Interpolator>
        struct curve {
            typedef InterpolatedDiscountCurve<Interpolator> type;
        };
        // helper class
        typedef BootstrapHelper<YieldTermStructure> helper;
        // start of curve data
        static Date initialDate(const YieldTermStructure* c) {
            return c->referenceDate();
        }
        // value at reference date
        static DiscountFactor initialValue(const YieldTermStructure*) {
            return 1.0;
        }
        // true if the initialValue is just a dummy value
        static bool dummyInitialValue() { return false; }
        // initial guess
        static DiscountFactor initialGuess() {
            return 1.0/(1.0+detail::avgRate*0.25);
        }
        // further guesses
        static DiscountFactor guess(const YieldTermStructure* c,
                                    const Date& d) {
            return c->discount(d,true);
        }
        // possible constraints based on previous values
        static DiscountFactor minValueAfter(Size,
                                            const std::vector<Real>&) {
            return QL_EPSILON;
        }
        static DiscountFactor maxValueAfter(Size i,
                                            const std::vector<Real>& data) {
            #if defined(QL_NEGATIVE_RATES)
            // discount are not required to be decreasing--all bets are off.
            // We choose as max a value very unlikely to be exceeded.
            return 3.0;
            #else
            // discounts cannot increase
            return data[i-1];
            #endif
        }
        // update with new guess
        static void updateGuess(std::vector<DiscountFactor>& data,
                                DiscountFactor discount,
                                Size i) {
            data[i] = discount;
        }
        // upper bound for convergence loop
        static Size maxIterations() { return 50; }
    };


    //! Zero-curve traits
    struct ZeroYield {
        // interpolated curve type
        template <class Interpolator>
        struct curve {
            typedef InterpolatedZeroCurve<Interpolator> type;
        };
        // helper class
        typedef BootstrapHelper<YieldTermStructure> helper;
        // start of curve data
        static Date initialDate(const YieldTermStructure* c) {
            return c->referenceDate();
        }
        // dummy value at reference date
        static Rate initialValue(const YieldTermStructure*) {
            return detail::avgRate;
        }
        // true if the initialValue is just a dummy value
        static bool dummyInitialValue() { return true; }
        // initial guess
        static Rate initialGuess() { return detail::avgRate; }
        // further guesses
        static Rate guess(const YieldTermStructure* c,
                          const Date& d) {
            return c->zeroRate(d, c->dayCounter(),
                               Continuous, Annual, true);
        }
        // possible constraints based on previous values
        static Rate minValueAfter(Size, const std::vector<Real>&) {
            #if defined(QL_NEGATIVE_RATES)
            // no constraints.
            // We choose as min a value very unlikely to be exceeded.
            return -3.0;
            #else
            return QL_EPSILON;
            #endif
        }
        static Rate maxValueAfter(Size, const std::vector<Real>&) {
            // no constraints.
            // We choose as max a value very unlikely to be exceeded.
            return 3.0;
        }
        // update with new guess
        static void updateGuess(std::vector<Rate>& data,
                                Rate rate,
                                Size i) {
            data[i] = rate;
            if (i == 1)
                data[0] = rate; // first point is updated as well
        }
        // upper bound for convergence loop
        static Size maxIterations() { return 30; }
    };


    //! Forward-curve traits
    struct ForwardRate {
        // interpolated curve type
        template <class Interpolator>
        struct curve {
            typedef InterpolatedForwardCurve<Interpolator> type;
        };
        // helper class
        typedef BootstrapHelper<YieldTermStructure> helper;
        // start of curve data
        static Date initialDate(const YieldTermStructure* c) {
            return c->referenceDate();
        }
        // dummy value at reference date
        static Rate initialValue(const YieldTermStructure*) {
            return detail::avgRate;
        }
        // true if the initialValue is just a dummy value
        static bool dummyInitialValue() { return true; }
        // initial guess
        static Rate initialGuess() { return detail::avgRate; }
        // further guesses
        static Rate guess(const YieldTermStructure* c,
                          const Date& d) {
            return c->forwardRate(d, d, c->dayCounter(),
                                  Continuous, Annual, true);
        }
        // possible constraints based on previous values
        static Rate minValueAfter(Size, const std::vector<Real>&) {
            #if defined(QL_NEGATIVE_RATES)
            // no constraints.
            // We choose as min a value very unlikely to be exceeded.
            return -3.0;
            #else
            return QL_EPSILON;
            #endif
        }
        static Rate maxValueAfter(Size, const std::vector<Real>&) {
            // no constraints.
            // We choose as max a value very unlikely to be exceeded.
            return 3.0;
        }
        // update with new guess
        static void updateGuess(std::vector<Rate>& data,
                                Rate forward,
                                Size i) {
            data[i] = forward;
            if (i == 1)
                data[0] = forward; // first point is updated as well
        }
        // upper bound for convergence loop
        static Size maxIterations() { return 30; }
    };

}

#endif