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Нелинеен ARCH модел (NARCH)×Модел EGARCH (Експоненциален GARCH)×
ОбластИконометрияИконометрия
СемействоRegression modelRegression model
Година на възникване19921991
СъздателHiggins & BeraDaniel B. Nelson
ТипVolatility modelVolatility / conditional variance model
Основополагащ източникHiggins, 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 ↗
Други названияNARCH, Nonlinear ARCH, nonlinear conditional heteroscedasticity model, NARCH modelExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Свързани46
РезюмеThe 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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Nonlinear ARCH model · EGARCH model. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare