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非線形ARCHモデル (NARCH)×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19921991
提唱者Higgins & BeraDaniel B. Nelson
種類Volatility modelVolatility / conditional variance model
原典Higgins, M. L., & Bera, A. K. (1992). A class of nonlinear ARCH models. International Economic Review, 33(1), 137-158. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
別名NARCH, Nonlinear ARCH, nonlinear conditional heteroscedasticity model, NARCH modelExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
関連46
概要The Nonlinear ARCH (NARCH) model, introduced by Higgins and Bera (1992), extends Engle's original ARCH framework by allowing the power transformation of volatility to be estimated from the data rather than fixed at two. This flexibility captures a broader class of volatility dynamics observed in financial and macroeconomic time series.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: Nonlinear ARCH model · EGARCH model. 2026-06-17に以下より取得 https://scholargate.app/ja/compare