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Mitte-lineaarne EGARCH-mudel

Mitte-lineaarne EGARCH-mudel laiendab Nelsoni (1991) eksponentsiaalset GARCH-mudelit, võimaldades uudiste mõju funktsioonil omandada paindliku mitte-lineaarse kuju, mis haarab tingimusliku volatiilsuse asümmeetrilisi ja mitte-lineaarseid vastuseid varasematele šokkidele. Seda kasutatakse laialdaselt finantsökonomeetrias finantsvõimendusefektide (leverage effects) ja varade tootluste keerukate volatiilsuse dünaamika modelleerimiseks.

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Allikad

  1. Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260
  2. Engle, R. F., & Ng, V. K. (1993). Measuring and testing the impact of news on volatility. Journal of Finance, 48(5), 1749–1778. DOI: 10.1111/j.1540-6261.1993.tb05127.x

Kuidas sellele lehele viidata

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

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