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پنل ای‌جی‌ای‌آر‌سی×مدل پانل DCC-GARCH×
حوزهاقتصادسنجیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش1991 (EGARCH); panel extensions widely used from 2000s2002
پدیدآورDaniel B. Nelson (EGARCH); panel extension by applied econometrics literatureRobert F. Engle
نوعVolatility modelMultivariate volatility model
منبع بنیادینNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroscedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI ↗
نام‌های دیگرPanel EGARCH model, panel exponential GARCH, EGARCH for panel data, cross-sectional EGARCHDCC-GARCH panel, panel dynamic conditional correlation, multivariate DCC-GARCH, Panel DCC
مرتبط45
خلاصهPanel EGARCH extends Nelson's (1991) Exponential GARCH model to a panel setting, allowing conditional variance to evolve asymmetrically over time for each cross-sectional unit. The log specification ensures non-negative variance without parameter constraints, and the leverage term distinguishes whether negative shocks amplify volatility more than positive ones of equal magnitude.The Panel DCC-GARCH model extends Engle's (2002) Dynamic Conditional Correlation GARCH framework to panel data settings, jointly modelling time-varying volatility and cross-sectional correlations across multiple units (countries, firms, or assets) over time. It allows pairwise correlations to vary dynamically in response to market shocks while preserving parsimony via a two-step estimation.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Panel EGARCH · Panel DCC-GARCH. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare