The Skew Normal multivariate risk measurement framework
Journal article
Bernardi, M., Cerqueti, R. and Palestini, A. (2020). The Skew Normal multivariate risk measurement framework. Computational Management Science. 17 (1), pp. 105-119. https://doi.org/10.1007/s10287-019-00350-8
Authors | Bernardi, M., Cerqueti, R. and Palestini, A. |
---|---|
Abstract | In this paper, we consider a random vector X=(X1,X2) following a multivariate Skew Normal distribution and we provide an explicit formula for the expected value of X conditioned to the event X≤X¯¯¯¯, with X¯¯¯¯∈R2. Such a conditional expectation has an intuitive interpretation in the context of risk measures. This is a post-peer-review, pre-copyedit version of an article published in Computational Management Science . The final authenticated version is available online at: http://dx.doi.org/10.1007/s10287-019-00350-8 |
Year | 2020 |
Journal | Computational Management Science |
Journal citation | 17 (1), pp. 105-119 |
Publisher | Springer |
ISSN | 1619-697X |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s10287-019-00350-8 |
Web address (URL) | https://link.springer.com/article/10.1007%2Fs10287-019-00350-8 |
Publication dates | |
Jan 2020 | |
Online | 23 May 2019 |
Publication process dates | |
Accepted | 16 May 2019 |
Deposited | 19 Feb 2020 |
Accepted author manuscript | License File Access Level Open |
Permalink -
https://openresearch.lsbu.ac.uk/item/89074
Download files
97
total views184
total downloads0
views this month0
downloads this month