Conditional value-at-risk estimation using non-integer values of degrees of freedom in Student's t-distribution
Andriy Andreev and
Antti Kanto
Journal of Risk
Abstract:
ABSTRACT This paper provides an analytical formula for CVAR calculated using t-distributions with non-integer degrees of freedom. We generalize standard formulas, calculated on the assumption of normal log-returns without compromising on the difficulty of the calculation procedure involved. We also extend the results of Heikkinen and Kanto (2002) to show the impact of kurtosis on values of CVAR. The results are summarized in a closed-form formula that can, with little effort, be used by risk managers in the evaluation risk exposures for a family of heavy-tailed distributions.
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.risk.net/journal-of-risk/2161079/condi ... dents-t-distribution (text/html)
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:rsk:journ4:2161079
Access Statistics for this article
More articles in Journal of Risk from Journal of Risk
Bibliographic data for series maintained by Thomas Paine ().