EconPapers    
Economics at your fingertips  
 

Inference for the tail conditional allocation: Large sample properties, insurance risk assessment, and compound sums of concomitants

N.V. Gribkova, J. Su and R. Zitikis

Insurance: Mathematics and Economics, 2022, vol. 107, issue C, 199-222

Abstract: We derive consistency, asymptotic normality, and standard error estimation for the tail conditional allocation, also known as the marginal expected shortfall, under minimal conditions and thus geared toward widest applicability. These advances have become possible due to a newly developed technique that hinges on compound sums of concomitants. An insurance inspired numerical study has been designed to illustrate the performance of the obtained results.

Keywords: Capital allocations; Marginal expected shortfall; Compound sums; Order statistics; Concomitants (search for similar items in EconPapers)
JEL-codes: C14 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167668722001019
Full text for ScienceDirect subscribers only

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:eee:insuma:v:107:y:2022:i:c:p:199-222

DOI: 10.1016/j.insmatheco.2022.08.009

Access Statistics for this article

Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu

More articles in Insurance: Mathematics and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:insuma:v:107:y:2022:i:c:p:199-222