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Securitization for common health

Author

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  • Ciardiello, Francesco
  • Di Lorenzo, Emilia
  • Menzietti, Massimiliano
  • Sibillo, Marilena

Abstract

Securitization is the process of turning a financial asset, such as a loan or a mortgage, into a security that can be bought and sold on the market. Insurance-linked securities have been developed in order to foster the risk-transfer from insurers to capital market. In the context of pandemics or health crisis, securitization has been used to raise funds for crucial healthcare infrastructure and resources. However, securitization can also play a role in lowering infectious rates of pandemics as a part of risk mitigation strategies. Securitization can be engineered at higher standards and levels involving different actors. In the current paper, we propose an operational securitization mechanism based on the previous work by Di Lorenzo and Sibillo (2020) where a bond with coupon linked to the infection rate is introduced in order to reduce the risk exposure of an insurer offering health coverage. The combination of bond and health policies is structured in such a way to foster the economic operators (insureds, insurer, investors on capital market) to reduce the pandemic risk. It follows that companies might guarantee collective health for their workers if they subscribe insurance policies. Indeed, issuing such a bond on the market is challenging, due to poor market liquidity and, then, due to difficulties in pricing. In these regards, we value the pandemic-linked bond via an approach based on an inter-temporal CRRA utility function that, in its turn, determines a certain equivalent financial bond. The comparison values the pandemic-linked bond at varying with investors’ risk-aversion and sustainable-projects desirability. This provides an estimation of the risk-transfer cost for the insurers.

Suggested Citation

  • Ciardiello, Francesco & Di Lorenzo, Emilia & Menzietti, Massimiliano & Sibillo, Marilena, 2024. "Securitization for common health," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:soceps:v:93:y:2024:i:c:s0038012124000788
    DOI: 10.1016/j.seps.2024.101879
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    1. Verikios, George, 2020. "The dynamic effects of infectious disease outbreaks: the case of pandemic influenza and human coronavirus," MPRA Paper 104434, University Library of Munich, Germany.
    2. Olga Jonas, 2019. "Pandemic bonds: designed to fail in Ebola," Nature, Nature, vol. 572(7769), pages 285-285, August.
    3. Joseph Qiu, 2020. "Pandemic risk: Impact, modeling, and transfer," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 293-304, December.
    4. Wagner, Alexander F. & Glossner, Simon & Matos, Pedro Pinto & Ramelli, Stefano, 2022. "Do institutional investors stabilize equity markets in crisis periods? Evidence from COVID-19," CEPR Discussion Papers 15070, C.E.P.R. Discussion Papers.
    5. Adlane Haffar & Éric Le Fur & Mohamed Khordj, 2023. "Securitization of pandemic risk by using coronabond," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(2), pages 209-229, June.
    6. Gavurova, Beata & Kelemen, Miroslav & Polishchuk, Volodymyr, 2022. "Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    7. Emilia Di Lorenzo & Marilena Sibillo, 2020. "Economic Paradigms and Corporate Culture after the Great COVID-19 Pandemic: Towards a New Role of Welfare Organisations and Insurers," Sustainability, MDPI, vol. 12(19), pages 1-14, October.
    8. Naimoli, Antonio, 2022. "Modelling the persistence of Covid-19 positivity rate in Italy," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    9. Samuel Cox & Hal Pedersen, 2000. "Catastrophe Risk Bonds," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(4), pages 56-82.
    10. Masum, Mohammad & Masud, M.A. & Adnan, Muhaiminul Islam & Shahriar, Hossain & Kim, Sangil, 2022. "Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    11. André Schmitt & Sandrine Spaeter, 2023. "Providing pandemic business interruption coverage with double trigger cat bonds," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(3), pages 687-713, July.
    12. Simon Glossner & Pedro Matos & Stefano Ramelli & Alexander F. Wagner, 2020. "Where Do Institutional Investors Seek Shelter when Disaster Strikes? Evidence from COVID-19," Swiss Finance Institute Research Paper Series 20-56, Swiss Finance Institute.
    13. Senara Eggleton & Özlem Gürses, 2023. "Reinsuring pandemics: the role of government and public–private partnerships between reinsurers and governments," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(3), pages 552-576, July.
    14. Rezaei Soufi, Hojat & Esfahanipour, Akbar & Akbarpour Shirazi, Mohsen, 2022. "A quantitative approach for analysis of macroeconomic resilience due to socio-economic shocks," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    15. Kasin Ransikarbum & Scott J. Mason, 2022. "A bi-objective optimisation of post-disaster relief distribution and short-term network restoration using hybrid NSGA-II algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 60(19), pages 5769-5793, October.
    16. Maurer, Raimond & Rogalla, Ralph & Siegelin, Ivonne, 2013. "Participating Payout Life Annuities: Lessons From Germany," ASTIN Bulletin, Cambridge University Press, vol. 43(2), pages 159-187, May.
    17. Hainaut, Donatien, 2021. "An Actuarial Approach for Modeling Pandemic Risk," LIDAM Reprints ISBA 2021002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    18. Andreas Richter & Thomas C. Wilson, 2020. "Covid-19: implications for insurer risk management and the insurability of pandemic risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 171-199, September.
    19. Marin, Giovanni & Modica, Marco & Paleari, Susanna & Zoboli, Roberto, 2021. "Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
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    1. Chessa, Michela & Ciardiello, Francesco & Martinez, Ricardo & Meca, Ana & Saulle, Riccardo D., 2024. "Foreword for the special issue: “Decision-Making Models for Common Goods in Environmental, Health, and Logistics Contexts”," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).

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