Regression modelEconometrics / time series

Nelinearni EGARCH model

Nelinearni EGARCH model proširuje Nelsonov (1991) Eksponencijalni GARCH model dozvoljavajući funkciji uticaja vesti da poprimi fleksibilan nelinearan oblik, hvatajući asimetrične i nelinearne odgovore uslovne volatilnosti na prošle šokove. Široko se koristi u finansijskoj ekonometriji za modelovanje efekta poluge i složenih dinamika volatilnosti u prinosima aktive.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateNonlinear EGARCH model (Nonlinear Exponential Generalized Autoregressive Conditional Heteroscedasticity Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/nonlinear-egarch-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026