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टाइम-वेरिंग पैरामीटर एआरसीएच मॉडल (TVP-ARCH)×गार्छ मॉडल (अस्थिरता पूर्वानुमान)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1980s–1990s1986
प्रवर्तकExtension of Engle (1982) ARCH; TVP-ARCH formalization credited to Nicholls & Quinn and subsequent state-space literatureTim Bollerslev
प्रकारConditional heteroscedasticity model with time-varying coefficientsConditional volatility model
मौलिक स्रोतEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
उपनामTVP-ARCH, time-varying ARCH, adaptive ARCH, state-space ARCHGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
संबंधित55
सारांशThe Time-Varying Parameter ARCH (TVP-ARCH) model extends the classic ARCH framework by allowing both the conditional mean coefficients and the ARCH variance parameters to drift over time according to a random-walk or state-space process. This makes it possible to capture structural shifts in volatility dynamics without imposing a fixed parameter regime.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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ScholarGateविधियों की तुलना करें: Time-varying parameter ARCH model · GARCH Model. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare