/usr/include/ql/experimental/inflation/piecewiseyoyoptionletvolatility.hpp is in libquantlib0-dev 1.7.1-1.
This file is owned by root:root, with mode 0o644.
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/*
Copyright (C) 2009 Chris Kenyon
Copyright (C) 2011 Ferdinando Ametrano
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 piecewiseyoyoptionletvolatility.hpp
\brief piecewise yoy inflation volatility term structure
*/
#ifndef quantlib_piecewise_yoy_optionlet_volatility_hpp
#define quantlib_piecewise_yoy_optionlet_volatility_hpp
#include <ql/experimental/inflation/yoyinflationoptionletvolatilitystructure2.hpp>
#include <ql/termstructures/iterativebootstrap.hpp>
#include <ql/patterns/lazyobject.hpp>
namespace QuantLib {
//! traits for inflation-volatility bootstrap
class YoYInflationVolatilityTraits {
public:
typedef BootstrapHelper<YoYOptionletVolatilitySurface> helper;
// start of curve data
static Date initialDate(const YoYOptionletVolatilitySurface *s) {
return s->baseDate();
}
// value at reference date
static Real initialValue(const YoYOptionletVolatilitySurface *s) {
return s->baseLevel(); // REALLLYYYY important because
// generally don't have a clue
// what this should be - embodies
// assumptions on early options
// that are _not_ quoted
}
// guesses
template <class C>
static Real guess(Size i,
const C* c,
bool validData,
Size) // firstAliveHelper
{
if (validData) // previous iteration value
return c->data()[i];
if (i==1) // first pillar
return 0.005;
// could/should extrapolate
return 0.002;
}
// constraints
template <class C>
static Real minValueAfter(Size i,
const C* c,
bool,
Size) // firstAliveHelper
{
return std::max(0.0, c->data()[i-1] - 0.02); // vol cannot be negative
}
template <class C>
static Real maxValueAfter(Size i,
const C* c,
bool,
Size) // firstAliveHelper
{
return c->data()[i-1] + 0.02;
}
// root-finding update
static void updateGuess(std::vector<Real> &vols,
Real level,
Size i) {
vols[i] = level;
}
// upper bound for convergence loop
static Size maxIterations() {return 25;}
};
//! Piecewise year-on-year inflation volatility term structure
/*! We use a flat smile for bootstrapping at constant K. Happily
most of the work has already been done in the bootstrapping
classes. We only need to add special attention for the start
where there is usually no data, only assumptions.
*/
template <class Interpolator,
template <class> class Bootstrap = IterativeBootstrap,
class Traits = YoYInflationVolatilityTraits>
class PiecewiseYoYOptionletVolatilityCurve
: public InterpolatedYoYOptionletVolatilityCurve<Interpolator>,
public LazyObject {
private:
typedef InterpolatedYoYOptionletVolatilityCurve<Interpolator>
base_curve;
typedef PiecewiseYoYOptionletVolatilityCurve<Interpolator,
Bootstrap,
Traits> this_curve;
public:
typedef Traits traits_type;
typedef Interpolator interpolator_type;
PiecewiseYoYOptionletVolatilityCurve(
Natural settlementDays,
const Calendar &cal,
BusinessDayConvention bdc,
const DayCounter& dc,
const Period &lag,
Frequency frequency,
bool indexIsInterpolated,
Rate minStrike,
Rate maxStrike,
Volatility baseYoYVolatility,
const std::vector<boost::shared_ptr<typename Traits::helper> >&
instruments,
Real accuracy = 1.0e-12,
const Interpolator &interpolator = Interpolator())
: base_curve(settlementDays, cal, bdc, dc, lag,
frequency, indexIsInterpolated,
minStrike, maxStrike,
baseYoYVolatility, interpolator),
instruments_(instruments), accuracy_(accuracy) {
bootstrap_.setup(this);
}
//! \name Inflation interface
//@{
Date baseDate() const;
Date maxDate() const;
//@
//! \name Inspectors
//@{
const std::vector<Time>& times() const;
const std::vector<Date>& dates() const;
const std::vector<Real>& data() const;
std::vector<std::pair<Date, Real> > nodes() const;
//@}
//! \name Observer interface
//@{
void update();
//@}
private:
// methods
void performCalculations() const;
// data members
std::vector<boost::shared_ptr<typename Traits::helper> > instruments_;
Real accuracy_;
friend class Bootstrap<this_curve>;
friend class BootstrapError<this_curve>;
Bootstrap<this_curve> bootstrap_;
};
// inline and template definitions
template <class I, template <class> class B, class T>
inline Date PiecewiseYoYOptionletVolatilityCurve<I,B,T>::baseDate() const {
this->calculate();
return base_curve::baseDate();
}
template <class I, template <class> class B, class T>
inline Date PiecewiseYoYOptionletVolatilityCurve<I,B,T>::maxDate() const {
this->calculate();
return base_curve::maxDate();
}
template <class I, template <class> class B, class T>
const std::vector<Time>&
PiecewiseYoYOptionletVolatilityCurve<I,B,T>::times() const {
calculate();
return base_curve::times();
}
template <class I, template <class> class B, class T>
const std::vector<Date>&
PiecewiseYoYOptionletVolatilityCurve<I,B,T>::dates() const {
calculate();
return base_curve::dates();
}
template <class I, template <class> class B, class T>
const std::vector<Real>&
PiecewiseYoYOptionletVolatilityCurve<I,B,T>::data() const {
calculate();
return base_curve::data();
}
template <class I, template <class> class B, class T>
std::vector<std::pair<Date, Real> >
PiecewiseYoYOptionletVolatilityCurve<I,B,T>::nodes() const {
calculate();
return base_curve::nodes();
}
template <class I, template <class> class B, class T>
void
PiecewiseYoYOptionletVolatilityCurve<I,B,T>::performCalculations() const {
bootstrap_.calculate();
}
template <class I, template <class> class B, class T>
void PiecewiseYoYOptionletVolatilityCurve<I,B,T>::update() {
base_curve::update();
LazyObject::update();
}
}
#endif
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