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Panel GARCH 모형×ARCH 모형 (자기회귀 조건부 이분산성)×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도1986 (GARCH); panel extension 1990s–2000s1982
창시자Bollerslev (1986); extended to panel settings in subsequent literatureRobert F. Engle
유형Volatility modelConditional volatility model
원전Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
별칭panel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity modelARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
관련66
요약The 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.The ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.
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