EconPapers    
Economics at your fingertips  
 

Investment portfolio risk modelling based on hierarchical copulas

Henry Penikas

Applied Econometrics, 2014, vol. 35, issue 3, 18-38

Abstract: Paper is devoted to comparison of various copula models application to investment portfolio risk measurement. Elliptical, Archimedean and hierarchical copulas are considered in the research. The analysis undertaken has shown that hierarchical Clayton model enables to evaluate investment portfolio risks more precisely given the criteria of risk measures such as expected shortfall (ES) and Value-at-Risk (VaR). Statistically justified approach to hierarchical copula definition is also proposed.

Keywords: copula; hierarchical copula; tail dependence; expected shortfall (ES); Value-at-Risk (VaR) (search for similar items in EconPapers)
JEL-codes: C58 G10 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://pe.cemi.rssi.ru/pe_2014_3_18-38.pdf Full text (application/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:ris:apltrx:0242

Access Statistics for this article

Applied Econometrics is currently edited by Anatoly Peresetsky

More articles in Applied Econometrics from Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Bibliographic data for series maintained by Anatoly Peresetsky ().

 
Page updated 2025-03-19
Handle: RePEc:ris:apltrx:0242