GARCH processes with skewed and leptokurtic innovations: Revisiting the Johnson Su case
AbstractWe revisit the specification of GARCH processes with Johnson Su innovations examined in Choi and Nam [2008. Journal of Empirical Finance 15, 41–63]. This model, allowing for skewed and leptokurtic innovations, has many advantages over well known alternatives. We examine a simpler version of their specification which does not require the introduction of a location parameter. The likelihood function is derived and the model is estimated with the daily returns of six international stock indexes. The results show that the model provides an accurate fit using the past ten years of index returns which include the recent turbulent periods of the sub-prime and European sovereign debt crisis.
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Bibliographic InfoArticle provided by Elsevier in its journal Finance Research Letters.
Volume (Year): 9 (2012)
Issue (Month): 4 ()
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Web page: http://www.elsevier.com/locate/frl
GARCH; Johnson distributions; Skewness; Kurtosis;
Find related papers by JEL classification:
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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