EconPapers    
Economics at your fingertips  
 

Conditional Heteroskedasticity in some Common Count Data Models for Financial Time Series Data

Kurt Brännäs ()

No 592, Umeå Economic Studies from Umeå University, Department of Economics

Abstract: Conditional heteroskedasticity properties are derived for some common count data regression and time series models. New extensions are suggested and discussed.

Keywords: Conditional variance; time series; finance; traded stocks; Poisson. (search for similar items in EconPapers)
JEL-codes: C25 G12 G14 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-ets
Date: 2002-10-04
View list of references

Downloads: (external link)
http://www.econ.umu.se/ues/ues592.ps (application/postscript)
http://www.econ.umu.se/ues/ues592.ps.zip (application/postscript)
http://www.econ.umu.se/ues/ues592.pdf (application/pdf)
http://www.econ.umu.se/ues/ues592.pdf.zip (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:hhs:umnees:0592

Access Statistics for this paper

More papers in Umeå Economic Studies from Umeå University, Department of Economics
Address: Department of Economics, Umeå University, S-901 87 Umeå, Sweden
Contact information at EDIRC.
Series data maintained by Kjell-Göran Holmberg ().

 
Page updated 2009-11-24
Handle: RePEc:hhs:umnees:0592