JOURNAL ARTICLE

Copula-based grouped risk aggregation under mixed operation

Quan ZhouZhenlong ChenRuixing Ming

Year: 2016 Journal:   Applications of Mathematics Vol: 61 (1)Pages: 103-120   Publisher: Springer Science+Business Media

Abstract

This paper deals with the problem of risk measurement under mixed operation. For this purpose, we divide the basic risks into several groups based on the actual situation. First, we calculate the bounds for the subsum of every group of basic risks, then we obtain the bounds for the total sum of all the basic risks. For the dependency relationships between the basic risks in every group and all of the subsums, we give different copulas to describe them. The bounds for the aggregated risk under mixed operation and the algorithm for numerical simulation are given in this paper. In addition, the convergence of the algorithm is proved and some numerical simulations are presented.

Keywords:
Mathematics Copula (linguistics) Dependency (UML) Convergence (economics) Mathematical optimization Applied mathematics Econometrics Computer science Artificial intelligence

Metrics

5
Cited By
0.60
FWCI (Field Weighted Citation Impact)
19
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Risk and Portfolio Optimization
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance
Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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