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Regression modelEconometrics / time series

Mittelineaarne GARCH-mudel

Mittelineaarne GARCH-mudel laiendab standardset GARCH-raamistikku, et kirjeldada tingimusliku volatiilsuse asümmeetrilisi ja mittelineaarseid vastuseid varasematele šokkidele. See võimaldab negatiivsetel tootlustel (halvad uudised) volatiilsust suurendada rohkem kui võrdse suurusega positiivsetel tootlustel, mis on nähtus, mida tuntakse finantsturgudel laialt levinud finantsvõimenduse efektina.

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Allikad

  1. Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. Journal of Finance, 48(5), 1779-1801. DOI: 10.1111/j.1540-6261.1993.tb05128.x
  2. Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347-370. DOI: 10.2307/2938260

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Nonlinear Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/et/econometrics/nonlinear-garch-model

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateNonlinear GARCH model (Nonlinear Generalized Autoregressive Conditional Heteroscedasticity Model). Loetud 2026-06-15 aadressilt https://scholargate.app/et/econometrics/nonlinear-garch-model · Andmestik: https://doi.org/10.5281/zenodo.20539026