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Còmput dels Greeks mitjançant Diferenciació Automàtica×Model de Bates×Valoració neutral al risc×
CampFinances quantitativesFinances quantitativesFinances quantitatives
FamíliaMachine learningRegression modelRegression model
Any d'origen200819961979
Autor originalMike Giles, Iman HomescuDavid S. BatesJohn Harrison and David Kreps
TipusSensitivity AnalysisEquity/FX ModelFundamental Principle
Font seminalGiles, M. B. (2008). Adjoint code by automatic differentiation. Journal of Computational Finance, 12(1), 1-18. link ↗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 ↗
ÀliesAD Greeks, Algorithmic Differentiation, AutodiffSVJ Model, Jump DiffusionRisk-Neutral Measure, Q-Measure
Relacionats344
ResumAutomatic differentiation (AD) is a computational technique for computing derivatives (Greeks) by differentiating the computer code that computes the option price. AD avoids manual derivation of formulas and finite-difference approximations, yielding exact sensitivities with machine precision. It has become essential for real-time risk management in modern trading systems.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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ScholarGateCompara mètodes: Greeks via Automatic Differentiation · Bates Model · Risk-Neutral Valuation. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare