In an actuarial or financial context one often encounters the calculation of risk measures of random variables of the type S r:1 Xi' In many applications, the individual risks Xi are not mutually independent, for example because their outcomes are all influenced by the same economic or physical environment. Comonotonicity, which is an extremal form of positive dependence, can be used to determine easy to compute and accurate upper and lower bounds for the distribution of S, and hence, also for risk measures related to S.
Volume (Year): LII (2007)
Issue (Month): 2 ()
|Contact details of provider:|| Postal: Naamsestraat 69, 3000 Leuven|
Web page: http://feb.kuleuven.be/rebel
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ete:revbec:20070204. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (library EBIB)
If references are entirely missing, you can add them using this form.