Portfolio diversification and value at risk under thick-tailedness
File(s)
Author(s)
Ibragimov, Rustam
Type
Journal Article
Abstract
This paper focuses on the study of portfolio diversification and value at risk analysis under heavy-tailedness. We use a notion of diversification based on majorization theory that will be explained in the text. The paper shows that the stylized fact that portfolio diversification is preferable is reversed for extremely heavy-tailed risks or returns. However, the stylized facts on diversification are robust to heavy-tailedness of risks or returns as long as their distributions are moderately heavy-tailed. Extensions of the results to the case of dependence, including convolutions of α-symmetric distributions and models with common shocks are provided.
Date Issued
2009-01-01
Date Acceptance
2008-11-10
Citation
Quantitative Finance, 2009, 9 (5), pp.565-580
ISSN
1469-7688
Publisher
Taylor & Francis (Routledge)
Start Page
565
End Page
580
Journal / Book Title
Quantitative Finance
Volume
9
Issue
5
Copyright Statement
© 2009 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Quantitative Finance on 18 Jun 2009, available online: https://dx.doi.org/10.1080/14697680802629384
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000273766000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Social Sciences
Science & Technology
Physical Sciences
Business, Finance
Economics
Mathematics, Interdisciplinary Applications
Social Sciences, Mathematical Methods
Business & Economics
Mathematics
Mathematical Methods In Social Sciences
Value at risk
Heavy-tailed risks
Portfolios
Riskiness
Diversification
Risk bounds
Coherent measures of risk
STABLE-DISTRIBUTIONS
CONVEX COMBINATIONS
EXPECTED SHORTFALL
SIZE DISTRIBUTION
ZIPFS LAW
MARKET
PEAKEDNESS
PRICES
PROBABILITY
STATISTICS
Publication Status
Published
Date Publish Online
2009-06-18