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Модел Panel GARCH×Векторна авторегресия (VAR)×
ОбластИконометрияИконометрия
СемействоRegression modelRegression model
Година на възникване1986 (GARCH); panel extension 1990s–2000s1980
СъздателBollerslev (1986); extended to panel settings in subsequent literatureChristopher A. Sims
ТипVolatility modelMultivariate time-series model
Основополагащ източникBollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Други названияpanel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity modelVAR, VAR model, vector autoregressive model, multivariate autoregression
Свързани65
РезюмеThe Panel GARCH model extends Bollerslev's (1986) Generalized Autoregressive Conditional Heteroscedasticity framework to panel data, allowing conditional variance to evolve over time for each cross-sectional unit. It simultaneously captures unit-level heterogeneity and time-varying volatility clustering, making it the standard tool for modelling risk and uncertainty in multi-entity financial and macroeconomic panels.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
ScholarGateНабор от данни
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  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Panel GARCH model · Vector Autoregression. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare