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Mchanganuo wa Kutokuwa na Utulivu wa Kimahesabu (Heston)×Modeli wa GARCH (Utabiri wa Msukosuko)×
NyanjaFedhaEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili19931986
MwanzilishiSteven L. HestonTim Bollerslev
AinaContinuous-time stochastic volatility modelConditional volatility model
Chanzo asiliaHeston, 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 ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
Majina mbadalaHeston model, SV model, continuous-time stochastic volatility, Stokastik Volatilite Modeli (Heston, SV)GARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Zinazohusiana55
MuhtasariThe 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.The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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ScholarGateLinganisha mbinu: Stochastic Volatility Model · GARCH Model. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare