Skip to main content

Bounds for Concave Distortion Risk Measures for Sums of Risks

  • Conference paper
Mathematical and Statistical Methods in Insurance and Finance
  • 1530 Accesses

Abstract

In this paper we consider the problem of studying the gap between bounds of risk measures of sums of non-independentrandom variables. Owing to the choice of the context of where to set the problem, namely that of distortion risk measures, we first deduce an explicit formula for the risk measure of a discrete risk by referring to its writing as sum of layers. Then, we examine the case of sums of discrete risks with identical distribution. Upper and lower bounds for risk measures of sums of risks are presented in the case of concave distortion functions. Finally, the attention is devoted to the analysis of the gap between risk measures of upper and lower bounds, with the aim of optimizing it.

This research was partially supported by MIUR.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Campana, A., Ferretti, P.: On distortion risk measures for sums of dis-crete and identically distributed risks. Giornale dell’Istituto Italiano degli At-tuari, LXVIII: 89–104 (2005)

    Google Scholar 

  2. Dhaene, J., Denuit, M.: The safest dependence structure among risks. Insur-ance: Mathematics and Economics, 25: 11–21 (1999)

    Article  Google Scholar 

  3. Dhaene, J., Denuit, M., Goovaerts, M.J., Kaas, R., Vynckce, D.: The concept of comonotonicity in actuarial science and finance: theory. Insurance: Mathe-matics and Economics, 31: 3–33 (2002)

    Article  Google Scholar 

  4. Dhaene, J., Denuit, M., Goovaerts, M. J., Kaas, R., Vynckce, D.: The concept of comonotonicity in actuarial science and finance: applications. Insurance: Mathematics and Economics, 31: 133–161 (2002)

    Article  Google Scholar 

  5. Dhaene, J., Vanduffel, S., Tang, Q. H., Goovaerts, M. J., Kaas, R., Vyncke, D.: Solvency capital, risk measures and comonotonicity: a review. Research Re-port OR 0416, Department of Applied Economics, K.U. Leuven (2004)

    Google Scholar 

  6. Kaas, R., Dhaene, J., Goovaerts, M. J.: Upper and lower bounds for sums of random variables. Insurance: Mathematics and Economics, 27: 151–168 (2000)

    Article  Google Scholar 

  7. Wang, S.: Insurance pricing and increased limits ratemaking by proportional hazard transforms. Insurance: Mathematics and Economics, 17: 43–54 (1995)

    Article  Google Scholar 

  8. Wang, S.: Premium calculation by transforming the layer premium density. ASTIN Bulletin, 26: 71–92 (1996)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer, Milan

About this paper

Cite this paper

Campana, A., Ferretti, P. (2008). Bounds for Concave Distortion Risk Measures for Sums of Risks. In: Perna, C., Sibillo, M. (eds) Mathematical and Statistical Methods in Insurance and Finance. Springer, Milano. https://doi.org/10.1007/978-88-470-0704-8_6

Download citation

Publish with us

Policies and ethics