Aggregating Risks with Partial Dependence Information. Issue 4 (2nd October 2017)
- Record Type:
- Journal Article
- Title:
- Aggregating Risks with Partial Dependence Information. Issue 4 (2nd October 2017)
- Main Title:
- Aggregating Risks with Partial Dependence Information
- Authors:
- Linders, Daniël
Yang, Fan - Abstract:
- Abstract : We consider the problem of aggregating dependent risks in the presence of partial dependence information. More concretely, we assume that the risks involved belong to independent subgroups and the dependence structure within each group is unknown. A sharp convex upper bound exists in this setting, and this constrained upper bound improves the existing, unconstrained, comonotonic upper bound in convex order. Moreover, we prove the uniqueness of this constrained upper bound and provide a characterization in terms of the distribution of its sum. Numerical illustrations are provided to show the improvement of the new upper bound.
- Is Part Of:
- North American actuarial journal. Volume 21:Issue 4(2017)
- Journal:
- North American actuarial journal
- Issue:
- Volume 21:Issue 4(2017)
- Issue Display:
- Volume 21, Issue 4 (2017)
- Year:
- 2017
- Volume:
- 21
- Issue:
- 4
- Issue Sort Value:
- 2017-0021-0004-0000
- Page Start:
- 565
- Page End:
- 579
- Publication Date:
- 2017-10-02
- Subjects:
- Life insurance -- Research -- North America -- Periodicals
Actuarial science -- North America -- Periodicals
Web sites
Electronic journals
368.010973 - Journal URLs:
- http://www.soa.org/news-and-publications/publications/journals/naaj/naaj-detail.aspx ↗
http://www.tandfonline.com/loi/uaaj20 ↗
http://proquest.umi.com/pqdlink?Ver=1&Exp=04-23-2008&REQ=3&Cert=QcIhOmMdLEmP208E4Zn5c6Qs%2fVbfYEQ1Kcswm85p3d1aMKmozAXpypuD1AxiiI70&Pub=47814 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/10920277.2017.1317603 ↗
- Languages:
- English
- ISSNs:
- 2325-0453
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5520.xml