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비선형 TGARCH 모형×GARCH 모형 (변동성 예측)×TGARCH 모형 (Threshold GARCH)×
분야계량경제학계량경제학계량경제학
계열Regression modelRegression modelRegression model
기원 연도1993–199419861993-1994
창시자Jean-Michel Zakoian; related work by Glosten, Jagannathan & RunkleTim BollerslevZakoian (1994); Glosten, Jagannathan & Runkle (1993)
유형Conditional heteroskedasticity modelConditional volatility modelAsymmetric volatility model
원전Zakoian, 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 ↗Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗
별칭NL-TGARCH, Nonlinear Threshold GARCH, Asymmetric TGARCH, GJR-GARCH variantGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)Threshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
관련456
요약The Nonlinear TGARCH (Threshold GARCH) model extends the standard GARCH framework by allowing positive and negative shocks of equal magnitude to exert different effects on future volatility. It models conditional volatility in terms of the absolute value of lagged residuals split by a sign threshold, capturing the well-documented leverage effect in financial return series.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.The Threshold GARCH (TGARCH) model extends the standard GARCH framework by allowing positive and negative return shocks to have asymmetric effects on conditional variance. Negative shocks — bad news — typically amplify volatility more than positive shocks of the same magnitude, a stylised fact known as the leverage effect. TGARCH captures this asymmetry through a threshold indicator that switches on when the previous period's shock was negative.
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ScholarGate방법 비교: Nonlinear TGARCH model · GARCH Model · TGARCH model. 2026-06-19에 다음에서 검색함: https://scholargate.app/ko/compare