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रोबस्ट ईजीएआरसीएच मॉडल×डीसीसी-गार्ग मॉडल (डायनामिक कंडीशनल कोरिलेशन)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष20082002
प्रवर्तकNelson (1991) for EGARCH; robust adaptation via Muler & Yohai (2008) and related authorsRobert F. Engle
प्रकारRobust volatility modelMultivariate volatility model
मौलिक स्रोतMuler, N., & Yohai, V. J. (2008). Robust estimates for GARCH models. Journal of Statistical Planning and Inference, 138(10), 2918–2940. DOI ↗Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI ↗
उपनामRobust EGARCH model, outlier-robust EGARCH, robust exponential GARCH, REGARCHDCC-GARCH, Dynamic Conditional Correlation GARCH, Engle DCC model, multivariate DCC
संबंधित65
सारांशRobust EGARCH extends Nelson's (1991) Exponential GARCH model by replacing standard quasi-maximum likelihood estimation with outlier-resistant procedures — typically bounded-influence or M-estimation — so that a small fraction of extreme observations or data errors cannot distort the estimated volatility dynamics or the leverage effect.The DCC-GARCH model, introduced by Engle (2002), extends univariate GARCH to capture time-varying correlations between multiple financial time series. It decomposes the multivariate conditional covariance matrix into individual volatility processes and a dynamic correlation matrix, allowing correlations to fluctuate over time while remaining computationally tractable even with many series.
ScholarGateडेटासेट
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  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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