Repository logo
 
Publication

Comparing the generalised hyperbolic and the normal inverse Gaussian distributions for the daily returns of the PSI20

dc.contributor.authorRege, Sameer
dc.contributor.authorMenezes, António Gomes de
dc.date.accessioned2019-03-22T10:12:37Z
dc.date.available2019-03-22T10:12:37Z
dc.date.issued2012-02
dc.description.abstractThe presence of non-normality, fat-tails, skewness and kurtosis in the distribution of the returns necessitates the fitting of distributions that account for this phenomenon. We fit the Generalized Hyperbolic Distribution and the Normal Inverse Gaussian to the daily returns from the Portuguese Stock Index, the PSI20. We use the EM algorithm for estimating the parameters of the Normal Inverse Gaussian while those of the Generalized Hyperbolic distribution are estimated using the Nelder-Mead algorithm. We find that the Generalized Hyperbolic is a better fit than the Normal Inverse Gaussian as it better estimates the probabilities at the left tail where the losses are concentrated.en
dc.description.versionN/Apt_PT
dc.identifier.citationRege, Sameer; Menezes, António Gomes (2012). Comparing the generalised hyperbolic and the normal inverse Gaussian distributions for the daily returns of the PSI20, “Working Paper Series”, nº 5/12, 15 pp.. Ponta Delgada: Universidade dos Açores, CEEAplA-A.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.3/5047
dc.language.isoengpt_PT
dc.publisherUniversidade dos Açorespt_PT
dc.subjectGeneralized Hyperbolicen
dc.subjectNormal Inverse Gaussianen
dc.subjectPortuguese Stock Indexen
dc.titleComparing the generalised hyperbolic and the normal inverse Gaussian distributions for the daily returns of the PSI20en
dc.typeworking paper
dspace.entity.typePublication
oaire.citation.conferencePlacePonta Delgada, Açorespt_PT
oaire.citation.endPage14pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleCEEAplA-A - Working Paper Seriespt_PT
person.familyNameGomes de Menezes
person.givenNameAntónio
person.identifier.ciencia-id0217-54D9-5CBF
person.identifier.orcid0000-0002-2001-1589
person.identifier.ridAAU-5257-2021
person.identifier.scopus-author-id23667117800
rcaap.rightsopenAccesspt_PT
rcaap.typeworkingPaperpt_PT
relation.isAuthorOfPublication89f398e2-f2ad-4c44-841a-93de1c5dcf67
relation.isAuthorOfPublication.latestForDiscovery89f398e2-f2ad-4c44-841a-93de1c5dcf67

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Paper05-2012.pdf
Size:
245.48 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.73 KB
Format:
Item-specific license agreed upon to submission
Description: