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फूरियर EGARCH: सहज संरचनात्मक विरामों के साथ अस्थिरता मॉडलिंग×एक्सपोनेंशियल GARCH (EGARCH)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2010s1991
प्रवर्तकExtension of Nelson (1991) EGARCH using Fourier approximation frameworksNelson
प्रकारVolatility model with smooth structural breaksConditional volatility model (asymmetric GARCH variant)
मौलिक स्रोतEnders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
उपनामFourier-EGARCH, F-EGARCH, Fourier exponential GARCH, smooth structural break EGARCHexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
संबंधित34
सारांशFourier EGARCH extends Nelson's (1991) Exponential GARCH model by embedding Fourier trigonometric terms in the conditional variance equation to capture smooth, gradual shifts in the unconditional variance level over time. This allows the model to handle structural breaks in volatility without requiring prior knowledge of their timing or number.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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  1. v1
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  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Fourier EGARCH · EGARCH. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare