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Aika-vaihteleva parametri TGARCH-malli×GARCH-malli (volatiliteetin ennustaminen)×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi1990s–2000s1986
KehittäjäExtension combining Zakoïan (1994) TGARCH and time-varying parameter methodsTim Bollerslev
TyyppiVolatility model with asymmetry and parameter evolutionConditional volatility model
AlkuperäislähdeZakoïan, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
RinnakkaisnimetTVP-TGARCH, time-varying TGARCH, threshold GARCH with time-varying parameters, TVP Threshold GARCHGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Liittyvät45
TiivistelmäThe TVP-TGARCH model extends Threshold GARCH by allowing its volatility parameters to evolve over time via a state-space representation. It captures both the leverage effect — that negative return shocks increase volatility more than positive ones — and structural change in that asymmetry, making it well-suited for long financial time series subject to regime shifts.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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ScholarGateVertaile menetelmiä: Time-varying parameter TGARCH model · GARCH Model. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare