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Pricing par Crank-Nicolson×Volatilité locale (Dupire)×Modèle SABR×
DomaineFinance quantitativeFinance quantitativeFinance quantitative
FamilleMachine learningRegression modelRegression model
Année d'origine194719942002
Auteur d'origineJohn Crank and Phyllis NicolsonBruno DupirePatrick S. Hagan
TypePDE SolverEquity/FX ModelInterest Rate Model
Source fondatriceCrank, J., & Nicolson, P. (1947). A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. Mathematical Proceedings of the Cambridge Philosophical Society, 43(1), 50-67. DOI ↗Dupire, B. (1994). Pricing with a smile. Risk Magazine, 7(1), 18-20. link ↗Hagan, P. S., Kumar, D., Lesniewski, A. S., & Woodward, D. E. (2002). Managing smile risk. Wilmott Magazine, 1, 84-108. link ↗
AliasCN Method, Implicit Finite DifferenceDeterministic Volatility Function, DVFStochastic Volatility Model
Apparentées344
RésuméThe Crank-Nicolson method is a widely-used implicit finite difference scheme for solving PDEs in option pricing. It provides second-order accuracy in both space and time, unconditional stability, and can efficiently price derivatives with early exercise features (American options) or complex boundary conditions.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.The SABR (Stochastic Alpha-Beta-Rho) model is a stochastic volatility framework introduced by Hagan et al. in 2002 for valuing interest rate derivatives. It captures the smile effect in implied volatility through correlated Brownian motions and has become industry standard for swaption and caplet pricing.
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ScholarGateComparer des méthodes: Crank-Nicolson Pricing · Local Volatility (Dupire) · SABR Model. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare