Regression modelEconometrics / time series

Model strukturnog loma ARCH

Model strukturnog loma ARCH proširuje okvir Autoregresivne uvjetne heteroskedastičnosti Engle-a (1982.) izričitim uzimanjem u obzir naglih, trajnih pomaka u procesu uvjetne varijance. Zanemarivanje strukturnih lomova u varijanci uzrokuje da parametri ARCH izgledaju lažno postojani, stoga uvođenje lažnih varijabli loma ili parametara specifičnih za režim daje točnije procjene volatilnosti i bolji prilagodak modela.

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Izvori

  1. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI: 10.2307/1912773
  2. Lamoureux, C. G., & Lastrapes, W. D. (1990). Persistence in variance, structural change, and the GARCH model. Journal of Business and Economic Statistics, 8(2), 225–234. DOI: 10.1080/07350015.1990.10509794

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Autoregressive Conditional Heteroscedasticity Model with Structural Breaks. ScholarGate. https://scholargate.app/hr/econometrics/structural-break-arch-model

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Citirana u

ScholarGateStructural Break ARCH Model (Autoregressive Conditional Heteroscedasticity Model with Structural Breaks). Preuzeto 2026-06-15 s https://scholargate.app/hr/econometrics/structural-break-arch-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026