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On a GJR-GARCH Model with the Standardized Pearson Type IV Distribution

Authors: Stavros Stavroyiannis;

On a GJR-GARCH Model with the Standardized Pearson Type IV Distribution

Abstract

We examine the efficiency of a GJR-GARCH model where the residuals follow the standardize Pearson type-IV distribution. As a case study we consider the historical daily close price of the Standard and Poor’s index. The model is tested with a variety of loss functions and the efficiency is examined by application of several Value-at-Risk tests and measures. The results indicate that the Pearson type IV distribution performs better than the skewed t-Student especially at the high confidence levels.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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