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On the tail behaviors of Box-Cox transformed threshold GARCH(1,1) process

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  • Liu, Ji-Chun

Abstract

This paper considers some structural properties of Box-Cox transformed threshold GARCH(1,1) process. First, a sufficient and necessary condition for the strict stationarity of this threshold GARCH process is given. Second, some simple conditions for the existence of the moments of the threshold GARCH process are also derived. Finally, we describe the tail of the marginal distribution of the threshold GARCH process. It gives a precise meaning to the statement "light-tailed input causes heavy-tailed output".

Suggested Citation

  • Liu, Ji-Chun, 2006. "On the tail behaviors of Box-Cox transformed threshold GARCH(1,1) process," Statistics & Probability Letters, Elsevier, vol. 76(13), pages 1323-1330, July.
    • Handle: RePEc:eee:stapro:v:76:y:2006:i:13:p:1323-1330
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    References listed on IDEAS

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    1. Haas, Markus, 2008. "The autocorrelation structure of the Markov-switching asymmetric power GARCH process," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1480-1489, September.
    2. Haas, Markus, 2009. "Persistence in volatility, conditional kurtosis, and the Taylor property in absolute value GARCH processes," Statistics & Probability Letters, Elsevier, vol. 79(15), pages 1674-1683, August.
    3. Park, J.A. & Baek, J.S. & Hwang, S.Y., 2009. "Persistent-threshold-GARCH processes: Model and application," Statistics & Probability Letters, Elsevier, vol. 79(7), pages 907-914, April.
    4. Liu, Ji-Chun, 2007. "Stationarity for a Markov-switching Box-Cox transformed threshold GARCH process," Statistics & Probability Letters, Elsevier, vol. 77(13), pages 1428-1438, July.
    5. Ciccarelli, Nicola, 2016. "Semiparametric Efficient Adaptive Estimation of the PTTGARCH model," MPRA Paper 72021, University Library of Munich, Germany.

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