The multivariate Edgeworth-Sargan density
The Edgeworth-Sargan density has been shown capable of capturing empirical regularities of financial data (thick tails and asymmetries). When compared to other densities used in applied finance, it has the advantage of its analytical simplicity, and the ability to improve data fits by adding more parameters in a natural way. This paper develops an explicit form for the multivariate Edgeworth-Sargan density and compare its performance to the multivariate Student’s t. The comparison is carried out with daily financial observations, spanning 25 years of data for several financial variables that include stock markets indices and interest and exchange rates for several countries. Copyright Springer-Verlag Berlin/Heidelberg 2004
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 6 (2004)
Issue (Month): 1 (April)
|Contact details of provider:|| Web page: http://www.springer.com|
Postal:Universidad del País Vasco; DFAE II; Avenida Lehendakari Aguirre, 83; 48015 Bilbao; Spain
Phone: +34 94 6013783
Fax: + 34 94 6013774
Web page: http://spaneconrev.org/
More information through EDIRC
|Order Information:||Web: http://www.springer.com/economics/journal/10108?detailsPage=societies|
When requesting a correction, please mention this item's handle: RePEc:spr:specre:v:6:y:2004:i:1:p:77-96. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If references are entirely missing, you can add them using this form.