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時間変動パラメータEGARCH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1991–2000s1991
提唱者Nelson (1991) for EGARCH; TVP extension developed across the 1990s–2000s literature (e.g., Harvey, Engle and co-authors)Daniel B. Nelson
種類Conditional volatility modelVolatility / conditional variance model
原典Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
別名TVP-EGARCH, time-varying EGARCH, EGARCH with time-varying parameters, dynamic parameter EGARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
関連36
概要The TVP-EGARCH model extends Nelson's (1991) Exponential GARCH by allowing the volatility equation's parameters — including the leverage effect coefficient — to drift continuously over time. This makes it possible to capture structural change and regime evolution in financial return volatility without imposing a fixed break date.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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ScholarGate手法を比較: Time-varying parameter EGARCH model · EGARCH model. 2026-06-18に以下より取得 https://scholargate.app/ja/compare