Сравнение методов

	Быстрое преобразование Фурье (БПФ) по Карру-Мадану (Carr-Madan FFT)	Модель Бейтса	Локальная волатильность (Dupire)
Область	Количественные финансы	Количественные финансы	Количественные финансы
Семейство	Machine learning	Regression model	Regression model
Год появления	1999	1996	1994
Автор метода	Peter Carr and Dilip B. Madan	David S. Bates	Bruno Dupire
Тип	Valuation Algorithm	Equity/FX Model	Equity/FX Model
Основополагающий источник	Carr, P., & Madan, D. B. (1999). Option valuation using the fast Fourier transform. Journal of Computational Finance, 2(4), 61-73.	Bates, D. S. (1996). Jumps and stochastic volatility: Exchange rate processes implicit in Deutsche Mark options. Review of Financial Studies, 9(1), 69-107.	Dupire, B. (1994). Pricing with a smile. Risk Magazine, 7(1), 18-20.
Другие названия	FFT Pricing, Characteristic Function Method	SVJ Model, Jump Diffusion	Deterministic Volatility Function, DVF
Связанные	3	4	4
Сводка	The Carr-Madan Fast Fourier Transform (1999) is a highly efficient method for computing option prices across a range of strikes using characteristic functions and FFT. It enables rapid pricing of European options under any model with a known characteristic function (Heston, Merton jumps, Variance Gamma), with computational complexity that scales logarithmically in the number of strikes.	The Bates model (1996) combines stochastic volatility and jump diffusion to capture both the volatility smile and the implied volatility skew observed in equity and currency option markets. It extends the Heston model by adding a Poisson jump component to returns, making it suitable for pricing options when sudden price moves are expected.	Dupire's local volatility model (1994) is a deterministic framework that extracts a term and strike-dependent volatility function from market option prices. Unlike constant volatility, local volatility perfectly fits the observed implied volatility smile and is implemented via finite difference methods for European and American option pricing.