EconPapers    
Economics at your fingertips  
 

Dependent jump processes with coupled Lévy measures

Naoufel El-Bachir ()
Additional contact information
Naoufel El-Bachir: ICMA Centre, University of Reading

ICMA Centre Discussion Papers in Finance from Henley Business School, University of Reading

Abstract: I present a simple method for the modeling and simulation of dependent positive jump processes through a series representation. Each constituent process is represented by a series whose terms are equal to a transformation of the jump times of a standard Poisson process. The transformations are given by the inverses of the respective marginal Lévy tail mass integral functions. The dependence between the various constituent processes is given by a probabilistic copula for the inter-arrival times of the various standard Poisson processes.

Keywords: Lévy copulas; Copulas; Lévy processes; Monte-Carlo simulations (search for similar items in EconPapers)
Pages: 7 pages
Date: 2008-05
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.icmacentre.ac.uk/files/icma/dp20083.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.icmacentre.ac.uk/files/icma/dp20083.pdf [302 Found]--> https://www.icmacentre.ac.uk/files/icma/dp20083.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: https://EconPapers.repec.org/RePEc:rdg:icmadp:icma-dp2008-03

Access Statistics for this paper

More papers in ICMA Centre Discussion Papers in Finance from Henley Business School, University of Reading Contact information at EDIRC.
Bibliographic data for series maintained by Marie Pearson ().

 
Page updated 2025-03-31
Handle: RePEc:rdg:icmadp:icma-dp2008-03