Modeling Heavy-Tailed Stock Index Returns Using the Generalized Hyperbolic Distribution
In the present study, we estimate the parameters of the Generalized Hyperbolic Distribution for a series of stock index returns including the Romanian BETC and indexes from other two Eastern European countries, Hungary and the Czech Republic. Using different econometric techniques, we investigate whether the estimated Generalized Hyperbolic Distribution is an appropriate approximation for the empirical distribution computed by non-parametric kernel econometric methods. The main finding of the analysis is that the probability density function of the estimated Generalized Hyperbolic Distribution represents a very close approximation (at least up to the 4th order term) of the empirical probability distribution function.
Volume (Year): 6 (2009)
Issue (Month): 2 (June)
|Contact details of provider:|| Postal: |
Phone: 004 021 3188148
Fax: 004 021 3188148
Web page: http://www.ipe.ro/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:rjr:romjef:v:6:y:2009:i:2:p:118-131. 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: (Corina Saman)
If references are entirely missing, you can add them using this form.