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Nelinearni ARCH model (NARCH)×ARCH model (autoregresivna uslovna heteroskedastičnost)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19921982
TvoracHiggins & BeraRobert F. Engle
TipVolatility modelConditional volatility model
Temeljni izvorHiggins, M. L., & Bera, A. K. (1992). A class of nonlinear ARCH models. International Economic Review, 33(1), 137-158. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Drugi naziviNARCH, Nonlinear ARCH, nonlinear conditional heteroscedasticity model, NARCH modelARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Srodne46
SažetakThe 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 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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ScholarGateUporedite metode: Nonlinear ARCH model · ARCH model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare