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Modèle EGARCH à paramètres variant dans le temps×Modèle de volatilité stochastique (Heston)×
DomaineÉconométrieFinance
FamilleRegression modelRegression model
Année d'origine1991–2000s1993
Auteur d'origineNelson (1991) for EGARCH; TVP extension developed across the 1990s–2000s literature (e.g., Harvey, Engle and co-authors)Steven L. Heston
TypeConditional volatility modelContinuous-time stochastic volatility model
Source fondatriceNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Heston, S. L. (1993). A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options. Review of Financial Studies, 6(2), 327-343. DOI ↗
AliasTVP-EGARCH, time-varying EGARCH, EGARCH with time-varying parameters, dynamic parameter EGARCHHeston model, SV model, continuous-time stochastic volatility, Stokastik Volatilite Modeli (Heston, SV)
Apparentées35
RésuméThe TVP-EGARCH model extends Nelson's (1991) Exponential GARCH by allowing the volatility equation's parameters — including the leverage effect coefficient — to drift continuously over time. This makes it possible to capture structural change and regime evolution in financial return volatility without imposing a fixed break date.The stochastic volatility model is a continuous-time option-pricing and risk framework in which volatility follows its own random process rather than staying constant. The Heston model, introduced by Steven Heston in 1993, gives the variance a mean-reverting square-root (CIR) dynamic and yields a closed-form option price; it is the continuous-time counterpart of GARCH.
ScholarGateJeu de données
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Time-varying parameter EGARCH model · Stochastic Volatility Model. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare