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Mfumo wa Fourier TGARCH

Mfumo wa Fourier TGARCH unapanua mfumo wa Threshold GARCH kwa kuweka vigezo vya trigonometria vya Fourier katika mlinganyo wa tofauti ya masharti ili kunasa mabadiliko laini, ya taratibu ya kimuundo katika mienendo ya tete. Unaunda kwa pamoja athari za kujiinua zisizolingana — ambapo mishtuko hasi huongeza tete zaidi kuliko mishtuko chanya ya ukubwa sawa — na mabadiliko ya kukatiza yanayobadilika kulingana na wakati yanayosababishwa na mabadiliko ya kimuundo yasiyoonekana.

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Vyanzo

  1. Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI: 10.1016/0165-1889(94)90039-6
  2. Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI: 10.1111/j.1468-0084.2011.00662.x

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Fourier Threshold Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/fourier-tgarch

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ScholarGateFourier TGARCH (Fourier Threshold Generalized Autoregressive Conditional Heteroscedasticity Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/fourier-tgarch · Seti ya data: https://doi.org/10.5281/zenodo.20539026