Far East Journal of Mathematical Sciences (FJMS)

The Far East Journal of Mathematical Sciences (FJMS) publishes original research papers and survey articles in pure and applied mathematics, statistics, mathematical physics, and other related fields. It welcomes application-oriented work as well.

Submit Article

COPULAS AND EVALUATION OF $TVaR$ RISK MEASUREMENT AND $TVaR$-BASED CAPITAL ALLOCATION IN A CONTEXT OF TAIL DEPENDENCY

Authors

  • Kiswendsida Mahamoudou OUEDRAOGO
  • Abdoul Karim DRABO
  • Delwendé Abdoul-Kabir KAFANDO
  • Lassané SAWADOGO
  • S. Pierre Clovis NITIEMA

Keywords:

copula, tail dependency, TVaR risk measure, capital allocation

DOI:

https://doi.org/10.17654/0972087125023

Abstract

In this paper, we construct an extension of Spearman’s copula and evaluate the risk measure TVaR (Tail Value at Risk) and the TVaR-based capital allocation for an insurance portfolio whose risks maintain a tail-dependency relationship via this new copula. Assuming that the portfolio comprises two lines of business whose risks are identically distributed according to the exponential law and then according to the Pareto law, we derive an explicit formula for the risk measure TVaR and the explicit formula for the capital to be allocated to each line of business in the portfolio to ensure the solvency of the insurance company.

Received: April 7, 2025
Revised: May 17, 2025
Accepted: May 26, 2025

References

H. Cossette, E. Marceau and F. Marri, Analysis of ruin measures for the classical compound Poisson risk model with dependence, Scand. Actuar. J. 3 (2010), 221-245.

D. Pfeifer and J. N. Neslehova, Modeling and generating dependent risk processes for IRM and DFA, ASTIN Bulletin 34(2) (2004), 333-360.

R. B. Nelsen, An Introduction to Copula, Second Edition: Springer Series in Statistic, Springer-Verlag, New York, 2006.

H. Joe, Multivariate Models and Dependence Concepts, Chapman and Hall, London, 1997.

F. Durant and C. Sempi, Principles of Copula Theory, Chapman and Hall/CRC, 2015.

S. Heilpern, Ruin measures for a compound Poisson risk model with dependence based on the Spearman copula and the exponential claim sizes, Insurance: Mathematics and Economic 59 (2014), 251-257.

W. Hürlimann, Multivariate Frechet copulas and conditional value-at-risk, International Journal of Mathematics and Mathematical Sciences 7 (2004a), 345-364.

W. Hürlimann, Fitting bivariate cumulative returns with copula, Comput. Statist. Data Anal. 45(2) (2004b), 355-372.

P. Embrechts, A. J. McNeil and D. Straumann, Correlation and dependence in risk management, in M. Dempster, ed., Risk management: value at risk and beyond, Cambridge University Press, Cambridge, 2001.

P. Embrechts, P. F. Lindskog and A. J. McNeil, Modeling dependence with copulas and applications to risk management, Working paper, ETH, Zurich, 2001.

C. Acerbi and D. Tasche, On the coherence of expected shortfall, Journal of Banking and Finance 26(7) (2002), 1487-1503.

M. Dénuit, J. Dhaene, M. J. Goovaerts and R. Kaas, Actuarial Theory for Dependent Risks: Measures, Orders and Models, Wiley, New York, 2005.

Mathieu Bargès, Hélène Cossette and Etienne Marceau, TVaR based-capital allocation with copulas, Insurance: Mathematics and Economics 45(3) (2009), 348-361.

M. Dénuit and A. Charpentier, Mathématiques de l’assurance non-vie, Tome I: Principes Fondamentaux de Théorie de Risqué, Economica, 2004.

T. J. Boonen, A. Waegenaere and H. Norde, A generalization of the Aumann Shapley value for risk capital allocation problem, European Journal J. Oper. Res. 282(1) (2020), 277-287.

P. Artzner, F. Delbaen, J.-M. Eber and D. Heath, Coherent risk measures, Mathematical Finance 9 (1999), 203-228.

Umberto Cherubini, Sabrina Milinacci and Silvia Romagnoli, A copula-based model of speculative price dynamics in discrete time, Journal of Multivariate Analysis 102 (2011), 1047-63.

U. Cherubini and E. Luciano, Value at risk trade-off and capital allocation with copulas, University of Turin, Working paper, 2000.

R. Wang and W. Yunran, Characterizing optimal allocations in quantile-based risk sharing, Insurance: Mathematics and Economics 93 (2020), 288-300.

C. Bernard, K. Rodrique and V. Steven, Range Value-At-Risk bounds for unimodal distributions under partial information, Insurance: Mathematics and Economics 94 (2020), 9-24.

B. Brahim, F. Benatia and D. Yahia, Copula conditional tail expectation form multivariate financial risk, Arab Journal of Mathematical Sciences 24 (2018), 82-100.

V. Asimit, L. Peng, R. Wang and A. Yu, An efficient approach to quantile capital allocation and sensitivity analysis, Math. Finance 29(4) (2019), 1131-1156.

E. Marceau, Modélisation et évaluation quantitative des risques en actuariat: Modèles sur une période, Springer, 1st edition, 2013.

H. Cosette, M. Mailhot and E. Marceau, TVaR-based capital allocation for multivariate compound distribution with positive continuous claim amounts, Insurance: Mathematics and Economics 50(2) (2012), 247-256.

H. Cosette, M. Mailhot, E. Marceau and Perreault, On two families of bivariate distributions with exponential marginals: Aggregation and capital allocation, Insurance: Mathematics and Economics 64 (2015), 214-224.

F. Marri and K. Moutanabbir, Risk aggregation and capital allocation using a new generalized Archimedean copula, Insurance: Mathematics and Economics 102 (2021), 75-90.

K. Said, Expectile-based capital allocation, International Journal of Analysis and Applications 21 (2023), 79.

C. Blier-Wong, H. Cossette and E. Marceau, Risk aggregation with FGM copula, Insurance: Mathematics and Economics 111 (2023), 102-120.

Published

2025-07-14

Issue

Section

Articles

How to Cite

COPULAS AND EVALUATION OF $TVaR$ RISK MEASUREMENT AND $TVaR$-BASED CAPITAL ALLOCATION IN A CONTEXT OF TAIL DEPENDENCY. (2025). Far East Journal of Mathematical Sciences (FJMS), 142(3), 399-441. https://doi.org/10.17654/0972087125023

Similar Articles

You may also start an advanced similarity search for this article.