Skip to main content

Heuristic Optimization of Reinsurance Programs and Implications for Reinsurance Buyers

  • Conference paper

Part of the Operations Research Proceedings book series (ORP,volume 2006)

Abstract

Reinsurance contracts represent a very important tool for insurance companies to manage their risk portfolio. In general, they are used if an insurer is not willing or not able to hold certain risk exposures or parts thereof on its own. There exist two main contract types to cede claims to a reinsurer, namely proportional and non-proportional ones. With the quota share reinsurance, a well-known variant of the former ones, a fixed percentage of the claim sizes is ceded to the reinsurance company. Excess of loss and stop loss are non-proportional types and the reinsurer is only liable to pay if certain losses are exceeded. In practice insurance companies usually place a number of different reinsurance contracts, a so-called reinsurance program.

Keywords

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (Canada)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Carter RL (1995) Reinsurance. Kluwer Publishing, Brentford, Middlesex

    Google Scholar 

  2. Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimisation: NSGA-II. Technical Report 2000001, KanGAL, Indian Institute of Technology

    Google Scholar 

  3. Deb K, Mohan M, Mishra S (2003) A Fast Multi-objective Evolutionary Algorithm for Finding Well-Spread Pareto-Optimal Solutions. Technical Report 2003002, KanGAL, Indian Institute of Technology

    Google Scholar 

  4. de Lourdes Centeno M (1985) Some Theoretical Aspects of Combinations of Quota-share and Non-Proportional Reinsurance Treaties. The British Library Document Supply Centre

    Google Scholar 

  5. Mack T (1997) Schadenversicherungsmathematik. Verlag Versicherungswirtschaft, Karlsruhe

    Google Scholar 

  6. Oesterreicher I, Mitschele A, Schlottmann F, Seese D (2006) Comparison of Multi-Objective Evolutionary Algorithms in Optimizing Combinations of Reinsurance Contracts. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation GECCO’ 06. ACM Press, New York, USA

    Google Scholar 

  7. Verlaak R, Beirlant J (2002) An Optimal Combination of Several Reinsurance Protections on an Heterogeneous Insurance Portfolio. 6th International Congress on Insurance: Mathematics&Economics, IME 2002. Lisbon, Portugal

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mitschele, A., Oesterreicher, I., Schlottmann, F., Seese, D. (2007). Heuristic Optimization of Reinsurance Programs and Implications for Reinsurance Buyers. In: Waldmann, KH., Stocker, U.M. (eds) Operations Research Proceedings 2006. Operations Research Proceedings, vol 2006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69995-8_47

Download citation

Publish with us

Policies and ethics