IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v27y2013i10p3713-3725.html
   My bibliography  Save this article

Pricing and Simulation for Extreme Flood Catastrophe Bonds

Author

Listed:
  • Junfei Chen
  • Guiyun Liu
  • Liu Yang
  • Quanxi Shao
  • Huimin Wang

Abstract

With global climate change, the extreme flood disasters which are characterized with low frequency but huge economic losses occur more frequently. The management of the extreme flood disasters mainly depends on the administrative means of the governments at all levels in China. When the extreme flood occurs, the government financial aid and the social donation can be used to compensate the catastrophe losses, but these compensations account for only a small part of the catastrophe losses. Therefore, it is very urgent to disperse the flood catastrophe risk by social system. The catastrophe risk securitization bridges the capital market and the insurance market and can effectively transfer the catastrophe risk to the capital market. The catastrophe bond is an effective risk dispersion mode and the pricing of catastrophe bonds is the core issue of implementing catastrophe bonds. However, the research about the design and the pricing of extreme flood catastrophe bond is scarce. In this study, a kind of one-year extreme flood catastrophe bond was designed and simulations on the pricing according to the extreme flood data in China during 1961 to 2009 with quantitative analysis method were done, combined with the non-life insurance actuarial method and Wang-double-factor model. The results show that price of catastrophe bond is increasing with the increase of the value for triggering points and reducing when the ratio that corporation confiscates the capital and the interest of catastrophe bond enlarges. Some reasons were discussed to account for the results. The results show that the method is effective and can provide some guidance for the pricing of extreme flood catastrophe bonds. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Junfei Chen & Guiyun Liu & Liu Yang & Quanxi Shao & Huimin Wang, 2013. "Pricing and Simulation for Extreme Flood Catastrophe Bonds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3713-3725, August.
  • Handle: RePEc:spr:waterr:v:27:y:2013:i:10:p:3713-3725
    DOI: 10.1007/s11269-013-0376-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-013-0376-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-013-0376-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lane, Morton N., 2000. "Pricing Risk Transfer Transactions1," ASTIN Bulletin, Cambridge University Press, vol. 30(2), pages 259-293, November.
    2. Egami, Masahiko & Young, Virginia R., 2008. "Indifference prices of structured catastrophe (CAT) bonds," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 771-778, April.
    3. Samuel Cox & Hal Pedersen, 2000. "Catastrophe Risk Bonds," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(4), pages 56-82.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sukono & Hafizan Juahir & Riza Andrian Ibrahim & Moch Panji Agung Saputra & Yuyun Hidayat & Igif Gimin Prihanto, 2022. "Application of Compound Poisson Process in Pricing Catastrophe Bonds: A Systematic Literature Review," Mathematics, MDPI, vol. 10(15), pages 1-19, July.
    2. Jiayi Li & Zhiyan Cai & Yixuan Liu & Chengxiu Ling, 2022. "Extremal Analysis of Flooding Risk and Its Catastrophe Bond Pricing," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    3. Chengxiu Ling & Jiayi Li & Yixuan Liu & Zhiyan Cai, 2021. "Extremal Analysis of Flooding Risk and Management," Papers 2112.00562, arXiv.org.
    4. Yifan Tang & Conghua Wen & Chengxiu Ling & Yuqing Zhang, 2023. "Pricing Multi-Event-Triggered Catastrophe Bonds Based on a Copula–POT Model," Risks, MDPI, vol. 11(8), pages 1-19, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eckhard Platen & David Taylor, 2016. "Loading Pricing of Catastrophe Bonds and Other Long-Dated, Insurance-Type Contracts," Research Paper Series 379, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Denis-Alexandre Trottier & Van Son Lai & Anne-Sophie Charest, 2017. "CAT Bond Spreads Via HARA Utility and Nonparametric Tests," Working Papers 2017-002, Department of Research, Ipag Business School.
    3. Braun, Alexander, 2011. "Pricing catastrophe swaps: A contingent claims approach," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 520-536.
    4. Sukono & Hafizan Juahir & Riza Andrian Ibrahim & Moch Panji Agung Saputra & Yuyun Hidayat & Igif Gimin Prihanto, 2022. "Application of Compound Poisson Process in Pricing Catastrophe Bonds: A Systematic Literature Review," Mathematics, MDPI, vol. 10(15), pages 1-19, July.
    5. Alexander Braun, 2016. "Pricing in the Primary Market for Cat Bonds: New Empirical Evidence," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(4), pages 811-847, December.
    6. Nowak, Piotr & Romaniuk, Maciej, 2013. "Pricing and simulations of catastrophe bonds," Insurance: Mathematics and Economics, Elsevier, vol. 52(1), pages 18-28.
    7. Min Zheng, 2015. "Heterogeneous Expectations and Speculative Behavior in Insurance-Linked Securities," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-12, March.
    8. Krzysztof Burnecki & Mario Nicoló Giuricich, 2017. "Stable Weak Approximation at Work in Index-Linked Catastrophe Bond Pricing," Risks, MDPI, vol. 5(4), pages 1-19, December.
    9. Massimo Mariani & Paola Amoruso, 2016. "The Effectiveness of Catastrophe Bonds in Portfolio Diversification," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1760-1767.
    10. Ma, Zong-Gang & Ma, Chao-Qun, 2013. "Pricing catastrophe risk bonds: A mixed approximation method," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 243-254.
    11. Shao, Jia & Papaioannou, Apostolos D. & Pantelous, Athanasios A., 2017. "Pricing and simulating catastrophe risk bonds in a Markov-dependent environment," Applied Mathematics and Computation, Elsevier, vol. 309(C), pages 68-84.
    12. Ben Ammar, Semir & Braun, Alexander & Eling, Martin, 2015. "Alternative Risk Transfer and Insurance-Linked Securities: Trends, Challenges and New Market Opportunities," I.VW HSG Schriftenreihe, University of St.Gallen, Institute of Insurance Economics (I.VW-HSG), volume 56, number 56.
    13. Dixon Domfeh & Arpita Chatterjee & Matthew Dixon, 2022. "A Unified Bayesian Framework for Pricing Catastrophe Bond Derivatives," Papers 2205.04520, arXiv.org.
    14. Tobias Götze & Marc Gürtler & Eileen Witowski, 2020. "Improving CAT bond pricing models via machine learning," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 428-446, September.
    15. David Blake & Marco Morales & Enrico Biffis & Yijia Lin & Andreas Milidonis, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 515-532, April.
    16. Apostolos Kiohos & Maria Paspati, 2021. "Alternative to Insurance Risk Transfer: Creating a catastrophe bond for Romanian earthquakes," Bulletin of Applied Economics, Risk Market Journals, vol. 8(1), pages 1-17.
    17. Vernic, Raluca, 2006. "Multivariate skew-normal distributions with applications in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 413-426, April.
    18. Eling, Martin, 2012. "Fitting insurance claims to skewed distributions: Are the skew-normal and skew-student good models?," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 239-248.
    19. Thomas Gries & Natasa Bilkic, 2014. "Investment under Threat of Disaster," Working Papers CIE 77, Paderborn University, CIE Center for International Economics.
    20. Lysenko, Natalia & Roy, Parthanil & Waeber, Rolf, 2009. "Multivariate extremes of generalized skew-normal distributions," Statistics & Probability Letters, Elsevier, vol. 79(4), pages 525-533, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:27:y:2013:i:10:p:3713-3725. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.