Comparer des méthodes

	Volatilité réalisée et le modèle HAR	Modèle de volatilité stochastique (Heston)
Domaine	Finance	Finance
Famille	Regression model	Regression model
Année d'origine	2009	1993
Auteur d'origine	Corsi (HAR model); Andersen, Bollerslev, Diebold & Labys (realized volatility)	Steven L. Heston
Type	Time-series regression of realized variance	Continuous-time stochastic volatility model
Source fondatrice	Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174-196.	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.
Alias	realized variance, HAR model, heterogeneous autoregressive model of realized volatility, HAR-RV	Heston model, SV model, continuous-time stochastic volatility, Stokastik Volatilite Modeli (Heston, SV)
Apparentées	5	5
Résumé	Realized volatility estimates an asset's variance directly from high-frequency intraday returns rather than from a parametric latent process. The Heterogeneous Autoregressive (HAR) model of Corsi (2009), building on the realized-volatility framework of Andersen, Bollerslev, Diebold and Labys (2003), forecasts this measure by combining daily, weekly, and monthly volatility components, and is a strong alternative to GARCH for volatility prediction.	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.