Adapt Yield Curve and Volatility Surface and Market Data, to be better compatible with unit test.
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@@ -24,9 +24,8 @@ FetchContent_MakeAvailable(googletest)
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add_executable(qengine_tests
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tests/test_black_scholes.cpp
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tests/stubs/FlatYieldCurve.cpp
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tests/stubs/FlatVolatilitySurface.cpp
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tests/stubs/FakeMarketData.cpp)
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tests/stubs/FlatVolatilitySurface.cpp)
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target_link_libraries(qengine_tests qengine GTest::gtest_main)
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include(GoogleTest)
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gtest_discover_tests(qengine_tests)
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gtest_discover_tests(qengine_tests)
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@@ -9,8 +9,7 @@
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class BlackScholesProcess : public StochasticProcess{
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public:
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BlackScholesProcess() = default;
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BlackScholesProcess(std::unique_ptr<MarketData> data) : StochasticProcess(std::move(data)){}
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explicit BlackScholesProcess(MarketData data) : StochasticProcess(std::move(data)){}
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double drift(double t, double s) override;
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@@ -21,4 +20,4 @@ public:
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};
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#endif //QUANTENGINE_BLACKSCHOLESPROCESS_HPP
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#endif //QUANTENGINE_BLACKSCHOLESPROCESS_HPP
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@@ -5,5 +5,5 @@
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#include "MarketData.hpp"
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double MarketData::spot() const { return spot_; }
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YieldCurve& MarketData::yield_curve() { return *yield_curve_; }
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VolatilitySurface& MarketData::volatility_surface() { return *volatility_surface_; }
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const YieldCurve& MarketData::yield_curve() const { return *yield_curve_; }
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const VolatilitySurface& MarketData::volatility_surface() const { return *volatility_surface_; }
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@@ -10,24 +10,24 @@
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class MarketData {
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public:
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MarketData() = default;
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MarketData() = delete;
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MarketData(double spot, std::unique_ptr<YieldCurve> yield_curve,
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std::unique_ptr<VolatilitySurface> volatility_surface)
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MarketData(double spot, std::shared_ptr<const YieldCurve> yield_curve,
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std::shared_ptr<const VolatilitySurface> volatility_surface)
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: spot_(spot),
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yield_curve_(std::move(yield_curve)),
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volatility_surface_(std::move(volatility_surface)) {
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}
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double spot() const;
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YieldCurve& yield_curve();
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VolatilitySurface& volatility_surface();
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const YieldCurve& yield_curve() const;
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const VolatilitySurface& volatility_surface() const;
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private:
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double spot_;
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std::unique_ptr<YieldCurve> yield_curve_;
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std::unique_ptr<VolatilitySurface> volatility_surface_;
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std::shared_ptr<const YieldCurve> yield_curve_;
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std::shared_ptr<const VolatilitySurface> volatility_surface_;
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};
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#endif //QUANTENGINE_MARKETDATA_HPP
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#endif //QUANTENGINE_MARKETDATA_HPP
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@@ -9,7 +9,7 @@
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class Statistics {
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public:
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Statistics() : moments_({0., 0., 0.}), max_(0.), min_(0.) {}
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Statistics() : moments_({0., 0., 0.}), n(0), max_(0.), min_(0.) {}
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void dump(double value);
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void clear();
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double mean();
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@@ -27,4 +27,4 @@ private:
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};
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#endif //QUANTENGINE_STATISTICS_HPP
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#endif //QUANTENGINE_STATISTICS_HPP
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@@ -9,20 +9,20 @@
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class StochasticProcess {
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public:
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StochasticProcess() = default;
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StochasticProcess(std::unique_ptr<MarketData> data) : data_(std::move(data)){}
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StochasticProcess() = delete;
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explicit StochasticProcess(MarketData data) : data_(std::move(data)){}
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virtual ~StochasticProcess() = default;
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virtual double drift(double t, double s) = 0;
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virtual double diffusion(double t, double s) = 0;
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virtual double step(double t, double s, double dt, double dW) = 0;
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MarketData& data() const {return *data_;}
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const MarketData& data() const {return data_;}
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private:
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std::shared_ptr<MarketData> data_;
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MarketData data_;
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};
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#endif //QUANTENGINE_STOCHASTICPROCESS_HPP
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#endif //QUANTENGINE_STOCHASTICPROCESS_HPP
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@@ -9,10 +9,10 @@
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class VolatilitySurface {
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public:
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virtual ~VolatilitySurface() = default;
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virtual double sigma(double K, double T) = 0;
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virtual double sigma(double K, double T) const = 0;
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private:
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};
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#endif //QUANTENGINE_VOLATILITYSURFACE_HPP
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#endif //QUANTENGINE_VOLATILITYSURFACE_HPP
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@@ -28,10 +28,10 @@ public:
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return *this;
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}
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virtual ~YieldCurve() = default;
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virtual double discount(double t) = 0;
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virtual double zeroRate(double t) = 0;
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virtual double discount(double t) const = 0;
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virtual double zeroRate(double t) const = 0;
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};
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#endif //QUANTENGINE_YIELDCURVE_HPP
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#endif //QUANTENGINE_YIELDCURVE_HPP
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@@ -1,2 +0,0 @@
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// Minimal TU to satisfy CMake for test stubs
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#include "FakeMarketData.hpp"
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@@ -1,38 +0,0 @@
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//
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// Created by David Doebel on 07.03.2026.
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//
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#ifndef QUANTENGINE_FAKEMARKETDATA_HPP
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#define QUANTENGINE_FAKEMARKETDATA_HPP
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#include "MarketData.hpp"
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#include "FlatYieldCurve.hpp"
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#include "FlatVolatilitySurface.hpp"
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class FakeMarketData : public MarketData {
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public:
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FakeMarketData() = default;
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FakeMarketData(const FakeMarketData &other)
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{
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}
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FakeMarketData(FakeMarketData &&other) noexcept
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{
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}
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FakeMarketData & operator=(const FakeMarketData &other) {
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return *this;
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}
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FakeMarketData & operator=(FakeMarketData &&other) noexcept {
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return *this;
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}
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double spot() const {return 100.0;}
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YieldCurve& yield_curve(){return *yieldCurve_; };
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VolatilitySurface& volatility_surface(){return *volatilitySurface_; };
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private:
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std::unique_ptr<FlatYieldCurve> yieldCurve_ = std::make_unique<FlatYieldCurve>();
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std::unique_ptr<FlatVolatilitySurface> volatilitySurface_ = std::make_unique<FlatVolatilitySurface>();
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};
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#endif
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@@ -6,6 +6,12 @@
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#include "VolatilitySurface.hpp"
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class FlatVolatilitySurface : public VolatilitySurface {
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double sigma(double K, double T) {return 0.2;}
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public:
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explicit FlatVolatilitySurface(double sigma = 0.2) : sigma_(sigma) {}
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double sigma(double K, double T) const override {return sigma_;}
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private:
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double sigma_;
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};
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#endif
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#endif
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@@ -7,10 +7,12 @@
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#include <cmath>
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class FlatYieldCurve : public YieldCurve{
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public:
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explicit FlatYieldCurve(double rate = 0.01) : rate_(rate) {}
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double discount(double t) override {return std::exp(-rate_ * t); };
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double zeroRate(double t) override {return rate_; }
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double discount(double t) const override {return std::exp(-rate_ * t); };
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double zeroRate(double t) const override {return rate_; }
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private:
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double rate_ = 0.01;
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};
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#endif
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#endif
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@@ -11,7 +11,6 @@
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#include "stubs/FlatYieldCurve.hpp"
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#include "stubs/FlatVolatilitySurface.hpp"
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#include "stubs/FakeMarketData.hpp"
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TEST(BlackScholesProcess, ExpectedValue) {
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// Market setup (via test stubs): S0=100, r=1%, sigma=20%
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@@ -19,9 +18,14 @@ TEST(BlackScholesProcess, ExpectedValue) {
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const double T = 1.0;
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const int numPaths = 300000; // enough for stable MC estimate
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// Build Black-Scholes process with fake flat market data
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auto processCall = std::make_unique<BlackScholesProcess>(std::make_unique<FakeMarketData>());
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auto processPut = std::make_unique<BlackScholesProcess>(std::make_unique<FakeMarketData>());
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const MarketData marketData(
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100.0,
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std::make_shared<FlatYieldCurve>(0.01),
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std::make_shared<FlatVolatilitySurface>(0.2));
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// Build Black-Scholes process from an immutable market snapshot
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auto processCall = std::make_unique<BlackScholesProcess>(marketData);
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auto processPut = std::make_unique<BlackScholesProcess>(marketData);
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// RNG shared between engines is fine
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auto rng = std::make_shared<MersenneTwister>();
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@@ -38,12 +42,12 @@ TEST(BlackScholesProcess, ExpectedValue) {
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const double putPrice = putInstr.price();
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// Ground truth Black–Scholes prices provided
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const double callGT = 10.450583572;
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const double putGT = 5.573526022;
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const double callGT = 8.4333186901;
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const double putGT = 7.4383020650;
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// Monte Carlo tolerance
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const double tol = 0.10; // 10 cents tolerance
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ASSERT_NEAR(callPrice, callGT, tol);
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ASSERT_NEAR(putPrice, putGT, tol);
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}
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}
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