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Panel GARCH モデル×EGARCHモデル(指数型GARCH)×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年1986 (GARCH); panel extension 1990s–2000s1991
提唱者Bollerslev (1986); extended to panel settings in subsequent literatureDaniel B. Nelson
種類Volatility modelVolatility / conditional variance model
原典Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
別名panel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity modelExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
関連66
概要The 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 Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.
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  1. v1
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  3. PUBLISHED

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ScholarGate手法を比較: Panel GARCH model · EGARCH model. 2026-06-17に以下より取得 https://scholargate.app/ja/compare