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Collaborative and Parametric Insurance on the Ethereum Blockchain

Published online by Cambridge University Press:  07 November 2025

Pierre-Olivier Goffard*
Affiliation:
Institut de Recherche Mathématique Avancée, Université de Strasbourg, Strasbourg, France
Stéphane Loisel
Affiliation:
CNAM, Efab, Lirsa, Paris, France
*
Corresponding author: Pierre-Olivier Goffard; Email: goffard@unistra.fr

Abstract

This article introduces a blockchain-based insurance scheme that integrates parametric and collaborative elements. A pool of investors, referred to as surplus providers, locks funds in a smart contract, enabling blockchain users to underwrite parametric insurance contracts. These contracts automatically trigger compensation when predefined conditions are met. The collaborative aspect is embodied in the generation of tokens, which are distributed to surplus providers. These tokens represent each participant’s share of the surplus and grant voting rights for management decisions. The smart contract is developed in Solidity, a high-level programming language for the Ethereum blockchain, and deployed on the Sepolia testnet, with data processing and analysis conducted using Python. In addition, open-source code is provided and main research challenges are identified, so that further research can be carried out to overcome limitations of this first proof of concept.

MSC classification

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Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The International Actuarial Association

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References

Abdi, M.J., Raffar, N., Zulkafli, Z., Nurulhuda, K., Rehan, B.M., Muharam, F.M., Khosim, N.A. and Tangang, F. (2022) Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods. International Journal of Disaster Risk Reduction, 67, 102653. ISSN 2212-4209. doi: 10.1016/j.ijdrr.2021.102653.CrossRefGoogle Scholar
Antonopoulos, A.M. and Gavin Wood Ph, D. (2018) Mastering Ethereum: Building Smart Contracts and DApps. O’Reilly Media. ISBN 9781491971949.Google Scholar
Avanzi, B. (2009) Strategies for dividend distribution: A review. North American Actuarial Journal, 13 (2), 0 217–251.10.1080/10920277.2009.10597549CrossRefGoogle Scholar
Barrieu, P. and Albertini, L. (2012) The Handbook of Insurance-Linked Securities. Wiley. ISBN 9781119206545. doi: 10.1002/9781119206545.CrossRefGoogle Scholar
Blanchet-Scalliet, C., Dorobantu, D. and Salhi, Y. (2017) A model-point approach to indifference pricing of life insurance portfolios with dependent lives. Methodology and Computing in Applied Probability, 21 (2), 423448. ISSN 1573-7713. doi: 10.1007/s11009-017-9611-2.CrossRefGoogle Scholar
Buterin, V. (2014) A next-generation smart contract and decentralized application platform. white paper.Google Scholar
Clere, A. (2022) Timeline: Charting the history of parametric insurance. Online at InsurTech Digital. https://insurtechdigital.com/articles/timeline-charting-the-history-of-parametric-insurance.Google Scholar
Conradt, S., Finger, R. and Spörri, M. (2015) Flexible weather index-based insurance design. Climate Risk Management, 10, 106–117. ISSN 2212-0963. doi: 10.1016/j.crm.2015.06.003.CrossRefGoogle Scholar
Cornish, E.A. and Fisher, R.A. (1938) Moments and cumulants in the specification of distributions. Revue de l’Institut International de Statistique/Review of the International Statistical Institute, 5 (4), 307. ISSN 0373-1138. doi: 10.2307/1400905.CrossRefGoogle Scholar
Cousaert, S., Vadgama, N. and Xu, J. (2022) Token-Based Insurance Solutions on Blockchain, pp. 237260. Springer International Publishing. ISBN 9783030951085. doi: 10.1007/978-3-030-95108-5_9.CrossRefGoogle Scholar
Dunn, P.K. (2004) Occurrence and quantity of precipitation can be modelled simultaneously. International Journal of Climatology, 24 (10), 12311239. ISSN 1097-0088. doi: 10.1002/joc.1063.CrossRefGoogle Scholar
Feng, R. (2023) Decentralized Insurance: Technical Foundation of Business Models. Springer International Publishing. ISBN 9783031295591. doi: 10.1007/978-3-031-29559-1.CrossRefGoogle Scholar
Figueiredo, R., Martina, M.L.V., Stephenson, D.B. and Youngman, B.D. (2018) A probabilistic paradigm for the parametric insurance of natural hazards. Risk Analysis, 38 (11), 24002414. ISSN 1539-6924. doi: 10.1111/risa.13122.CrossRefGoogle ScholarPubMed
Fisher, S.R.A. and Cornish, E.A. (1960) The percentile points of distributions having known cumulants. Technometrics, 2 (2), 209225. ISSN 1537-2723. doi: 10.1080/00401706.1960.10489895.CrossRefGoogle Scholar
Goffard, P.-O. and Guerrault, X. (2015) Is it optimal to group policyholders by age, gender, and seniority for bel computations based on model points? European Actuarial Journal, 5 (1), 165180. ISSN 2190-9741. doi: 10.1007/s13385-015-0106-7.CrossRefGoogle Scholar
Goffard, P.-O., Rao Jammalamadaka, S. and Meintanis, S.G. (2022) Goodness-of-fit procedures for compound distributions with an application to insurance. Journal of Statistical Theory and Practice, 16 (3). ISSN 1559-8616. doi: 10.1007/s42519-022-00276-6.CrossRefGoogle Scholar
Gweon, H. and Li, S. (2023) A hybrid data mining framework for variable annuity portfolio valuation. ASTIN Bulletin, 53 (3), 580595. ISSN 1783-1350. doi: 10.1017/asb.2023.26.CrossRefGoogle Scholar
Gweon, H., Li, S. and Mamon, R. (2020) An effective bias-corrected bagging method for the valuation of large variable annuity portfolios. ASTIN Bulletin, 50 (3), 853871. ISSN 1783-1350. doi: 10.1017/asb.2020.28.CrossRefGoogle Scholar
Kiermayer, M. and Weiß, C. (2020) Grouping of contracts in insurance using neural networks. Scandinavian Actuarial Journal, 1–28. ISSN 1651-2030. doi: 10.1080/03461238.2020.1836676.CrossRefGoogle Scholar
Lipton, A. and Treccani, A. (2021) Blockchain and Distributed Ledgers. WORLD SCIENTIFIC. doi: 10.1142/11857.CrossRefGoogle Scholar
Lopez, O. and Nkameni, D. (2025) Combination of traditional and parametric insurance: calibration method based on the optimization of a criterion adapted to heavy tail losses. Working paper or preprint. https://hal.science/hal-04959706.10.2139/ssrn.5148309CrossRefGoogle Scholar
Messias, J., Pahari, V., Chandrasekaran, B., Gummadi, K.P. and Loiseau, P. (2023) Understanding blockchain governance: Analyzing decentralized voting to amend defi smart contracts. arXiv preprint arXiv:2305.17655 .Google Scholar
Mohan, V. (2022) Automated market makers and decentralized exchanges: A defi primer. Financial Innovation, 8 (1). ISSN 2199-4730. doi: 10.1186/s40854-021-00314-5.CrossRefGoogle Scholar
Nakamoto, S. (2008) Bitcoin: A peer-to-peer electronic cash system. Available at https://bitcoin.org/bitcoin.pdf.Google Scholar
National Association of Insurance Commissioners. (2023) Parametric disaster insurance. Online on NAIC website. https://content.naic.org/insurance-topics/parametric-disaster-insurance.Google Scholar
Niakh, F., Bassière, A., Denuit, M. and Robert, C. (2025) Peer-to-peer basis risk management for renewable production parametric insurance.Google Scholar
Schär, F. (2020) Decentralized finance: On blockchain- and smart contract-based financial markets. SSRN Electronic Journal. ISSN 1556-5068. doi: 10.2139/ssrn.3571335.CrossRefGoogle Scholar
World Economic Forum. (2025) What is parametric insurance and how is it building climate resilience? Online on the WEF website. https://www.weforum.org/stories/2025/01/what-is-parametric-insurance-and-how-is-it-building-climate-resilience/.Google Scholar