Two Sufficient Conditions for Convex Ordering on Risk Aggregation

Joint Authors

Zhu, Dan
Yin, Chuancun

Source

Abstract and Applied Analysis

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-02-01

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Mathematics

Abstract EN

We define new stochastic orders in higher dimensions called weak correlation orders.

It is shown that weak correlation orders imply stop-loss order of sums of multivariate dependent risks with the same marginals.

Moreover, some properties and relations of stochastic orders are discussed.

American Psychological Association (APA)

Zhu, Dan& Yin, Chuancun. 2018. Two Sufficient Conditions for Convex Ordering on Risk Aggregation. Abstract and Applied Analysis،Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1114260

Modern Language Association (MLA)

Zhu, Dan& Yin, Chuancun. Two Sufficient Conditions for Convex Ordering on Risk Aggregation. Abstract and Applied Analysis No. 2018 (2018), pp.1-5.
https://search.emarefa.net/detail/BIM-1114260

American Medical Association (AMA)

Zhu, Dan& Yin, Chuancun. Two Sufficient Conditions for Convex Ordering on Risk Aggregation. Abstract and Applied Analysis. 2018. Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1114260

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1114260