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Regression model

GJR-GARCH (Asymmetrisk GARCH)

GJR-GARCH er en variant af GARCH-modellen for betinget volatilitet, der indfanger den asymmetriske effekt af negative chok på volatiliteten ved hjælp af en indikatorvariabel. Den blev introduceret af Glosten, Jagannathan og Runkle (1993), med en tæt relateret tærskelformulering af Zakoian (1994).

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Kilder

  1. Glosten, L. R., Jagannathan, R. & Runkle, D. E. (1993). On the Relation Between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance, 48(5), 1779-1801. DOI: 10.1111/j.1540-6261.1993.tb05128.x
  2. 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

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ScholarGate. (2026, June 1). Glosten-Jagannathan-Runkle GARCH. ScholarGate. https://scholargate.app/da/econometrics/gjr-garch

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ScholarGateGJR-GARCH (Glosten-Jagannathan-Runkle GARCH). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/gjr-garch · Datasæt: https://doi.org/10.5281/zenodo.20539026