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Regression model

Exponential GARCH (EGARCH)

EGARCH ialah varian GARCH asimetri, diperkenalkan oleh Nelson pada 1991, yang memodelkan kesan leveraj di mana berita buruk meningkatkan volatiliti lebih daripada berita baik bersaiz sama. Ia menangkap asimetri kejutan negatif siri pulangan kewangan dengan memodelkan logaritma varians bersyarat.

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Sumber

  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

Cara memetik halaman ini

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

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ScholarGateEGARCH (Exponential Generalised Autoregressive Conditional Heteroskedasticity). Dicapai 2026-06-15 daripada https://scholargate.app/ms/econometrics/egarch · Set data: https://doi.org/10.5281/zenodo.20539026