EconPapers    
Economics at your fingertips  
 

The generalized double Lomax distribution with applications

Abu Seif Mohammad Fares () and Vajjha Venkata Hara Gopal ()
Additional contact information
Abu Seif Mohammad Fares: Damascus University - Syrian Arab Republic
Vajjha Venkata Hara Gopal: Osmania University, Hyderabad - India

Statistica, 2016, vol. 76, issue 4, 341-352

Abstract: A new probability distribution from the polynomial family has been proposed for modeling heavy-tailed data that are continuous on the whole real line. we have derived some general properties of this distribution and applied it on several data sets of U.S stock market daily returns. The introduced model is symmetric and leptokurtic, it outperforms the peer distributions used for the given data from perspective of information criteria suggesting a new potential candidate for modeling data exhibiting heavy tails.

Keywords: Heavy tailed distribution; Polynomial tails; Leptokurtic; Daily returns (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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: https://EconPapers.repec.org/RePEc:bot:rivsta:v:76:y:2016:i:4:p:341-352

Access Statistics for this article

Statistica is currently edited by Department of Statistics, University of Bologna

More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().

 
Page updated 2025-03-19
Handle: RePEc:bot:rivsta:v:76:y:2016:i:4:p:341-352