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गार्छ मॉडल (अस्थिरता पूर्वानुमान)×एक्सपोनेंशियल GARCH (EGARCH)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष19861991
प्रवर्तकTim BollerslevNelson
प्रकारConditional volatility modelConditional volatility model (asymmetric GARCH variant)
मौलिक स्रोतBollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
उपनामGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)exponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
संबंधित54
सारांशThe 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.EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.
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ScholarGateविधियों की तुलना करें: GARCH Model · EGARCH. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare