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Regression model

Eksponentsiaalne GARCH (EGARCH)

EGARCH on asümmeetriline GARCH-variant, mille võttis kasutusele Nelson 1991. aastal, et modelleerida finantsefekti, mille puhul halb uudis suurendab volatiilsust rohkem kui sama suur hea uudis. See haarab finantsi tootluse sarjade negatiivse šoki asümmeetria, modelleerides tingimusliku dispersiooni logaritmi.

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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. The Journal of Finance, 48(5), 1749-1778. DOI: 10.1111/j.1540-6261.1993.tb05127.x

Kuidas sellele lehele viidata

ScholarGate. (2026, June 1). Exponential Generalised Autoregressive Conditional Heteroskedasticity. ScholarGate. https://scholargate.app/et/econometrics/egarch

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Sellele viitavad

ScholarGateEGARCH (Exponential Generalised Autoregressive Conditional Heteroskedasticity). Loetud 2026-06-15 aadressilt https://scholargate.app/et/econometrics/egarch · Andmestik: https://doi.org/10.5281/zenodo.20539026