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Regression modelEconometrics / time series

Mfumo Imara wa GARCH

Mfumo Imara wa GARCH unapanua mfumo wa kawaida wa GARCH ili kukabiliana na viashiria visivyo vya kawaida (outliers) na uvumbuzi wenye mikia mizito (heavy-tailed innovations) ambao huonekana mara kwa mara katika mfululizo wa mapato ya kifedha. Kwa kupunguza uzito wa uchunguzi uliokithiri kupitia neno thabiti la uvumbuzi, unatoa utabiri wa tete unaotegemeka zaidi wakati data ina mabadiliko ya ghafla, migogoro, au kasoro zingine ambazo zingepotosha makadirio ya kawaida ya GARCH.

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Vyanzo

  1. Boudt, K., Danielsson, J., & Laurent, S. (2013). Robust forecasting of dynamic conditional correlation GARCH models. International Journal of Forecasting, 29(2), 244–257. DOI: 10.1016/j.ijforecast.2012.06.003
  2. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI: 10.1016/0304-4076(86)90063-1

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/robust-garch-model

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ScholarGateRobust GARCH model (Robust Generalized Autoregressive Conditional Heteroscedasticity Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/robust-garch-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026