Comparing VaR Approximation Methods Which Use the First Four Moments as Inputs
Donald Lien Donald Lien (),
Christopher Stroud and
Keying Ye
Additional contact information
Donald Lien Donald Lien: UTSA
Working Papers from College of Business, University of Texas at San Antonio
Abstract:
This paper compares four methods used to approximate value at risk (VaR) from the _rst four moments of a probability distribution: Cornish-Fisher (1938), Edgeworth (1907), Gram-Charlier (1902), and Johnson distributions (1949). We apply a procedure described by Chernozhukov et al. (2010) called the increasing rearrangement to the Cornish-Fisher, Edgeworth, and Gram-Charlier methods. Using the increasing rear- rangement yields a single VaR approximation for any possible combination of skewness and kurtosis, and facilitates comparison of all four methods across the entire skewness- kurtosis space. Simulation results suggest that with enough data, the Johnson family yields the most accurate approximation on average.
Keywords: VaR; Approximation (search for similar items in EconPapers)
Pages: 18 pages
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://interim.business.utsa.edu/wps/mss/0050MSS-202-2013.pdf Full text Classification- C40 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
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:tsa:wpaper:0220mss
Access Statistics for this paper
More papers in Working Papers from College of Business, University of Texas at San Antonio Contact information at EDIRC.
Bibliographic data for series maintained by Wendy Frost ().