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Szybka transformata Fouriera Carr-Madana×Model Batesa×Wycena w mierze neutralnej względem ryzyka×
DziedzinaFinanse ilościoweFinanse ilościoweFinanse ilościowe
RodzinaMachine learningRegression modelRegression model
Rok powstania199919961979
TwórcaPeter Carr and Dilip B. MadanDavid S. BatesJohn Harrison and David Kreps
TypValuation AlgorithmEquity/FX ModelFundamental Principle
Źródło pierwotneCarr, P., & Madan, D. B. (1999). Option valuation using the fast Fourier transform. Journal of Computational Finance, 2(4), 61-73. DOI ↗Bates, D. S. (1996). Jumps and stochastic volatility: Exchange rate processes implicit in Deutsche Mark options. Review of Financial Studies, 9(1), 69-107. DOI ↗Harrison, J. M., & Kreps, D. M. (1979). Martingales and arbitrage in multiperiod securities markets. Journal of Economic Theory, 20(3), 381-408. DOI ↗
Inne nazwyFFT Pricing, Characteristic Function MethodSVJ Model, Jump DiffusionRisk-Neutral Measure, Q-Measure
Pokrewne344
PodsumowanieThe 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.Risk-neutral valuation (1979) is the fundamental principle that derivative prices equal the expected payoff discounted at the risk-free rate, computed under a risk-neutral probability measure (Q-measure). This principle, formalized by Harrison and Kreps, eliminates the need to estimate risk premia and is the foundation of modern derivatives pricing.
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