AGGREGATIONAL GAUSSIANITY AND BARELY INFINITE VARIANCE IN CROP PRICES

Antonios Antypas, Phoebe Koundouri () and Nikolaos Kourogenis
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Antonios Antypas: Department of Banking and Financial Management, University of Piraeus

No 1001, DEOS Working Papers from Athens University of Economics and Business

Abstract: This paper aims at reconciling two apparently contradictory empirical regularities of financial returns, namely the fact that the empirical distribution of returns tends to normality as the frequency of observation decreases (aggregational Gaussianity) combined with the fact that the conditional variance of high frequency returns seems to have a unit root, in which case the unconditional variance is infinite. We show that aggregational Gaussianity and infinite variance can coexist, provided that all the moments of the unconditional distribution whose order is less than two exist. The latter characterises the case of Integrated GARCH (IGARCH) processes. Finally, we discuss testing for aggregational Gaussianity under barely infinite varian

Keywords: aggregational Gausianity; infinite variance; IGARCH; crop prices (search for similar items in EconPapers)
JEL-codes: C10 G12 Q14 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2010-01-23
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:aue:wpaper:1001

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