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Regression modelEconometrics / time series

Jopo la EGARCH — Exponential GARCH kwa Data za Jopo

Jopo la EGARCH linapanua mfumo wa Exponential GARCH wa Nelson (1991) hadi kwenye mazingira ya jopo, likiruhusu kiwango kinachodhibitiwa cha tofauti kubadilika kwa njia isiyo sawa kwa muda kwa kila kitengo cha sehemu ya msalaba. Ufafanuzi wa logi unahakikisha tofauti isiyo hasi bila vizuizi vya kigezo, na kigezo cha kujiinua kinatofautisha ikiwa mshtuko hasi huongeza mabadiliko zaidi kuliko yale chanya yenye ukubwa sawa.

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Vyanzo

  1. Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260
  2. Tsay, R. S. (2010). Analysis of Financial Time Series (3rd ed.). Wiley. ISBN: 978-0470414354

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Panel Exponential Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/panel-egarch

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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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Imerejelewa na

ScholarGatePanel EGARCH (Panel Exponential Generalized Autoregressive Conditional Heteroscedasticity Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/panel-egarch · Seti ya data: https://doi.org/10.5281/zenodo.20539026