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FFT ya Carr-Madan×Modeli ya Bates×Volatilite ya Ndani (Dupire)×
NyanjaFedha za KiidadiFedha za KiidadiFedha za Kiidadi
FamiliaMachine learningRegression modelRegression model
Mwaka wa asili199919961994
MwanzilishiPeter Carr and Dilip B. MadanDavid S. BatesBruno Dupire
AinaValuation AlgorithmEquity/FX ModelEquity/FX Model
Chanzo asiliaCarr, 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 ↗Dupire, B. (1994). Pricing with a smile. Risk Magazine, 7(1), 18-20. link ↗
Majina mbadalaFFT Pricing, Characteristic Function MethodSVJ Model, Jump DiffusionDeterministic Volatility Function, DVF
Zinazohusiana344
MuhtasariThe 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.
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ScholarGateLinganisha mbinu: Carr-Madan FFT · Bates Model · Local Volatility (Dupire). Imepatikana 2026-06-20 kutoka https://scholargate.app/sw/compare