Abstract
The development of robust financial instruments to mitigate pandemic-induced mortality risks has become increasingly critical, particularly for the insurance sector, in the aftermath of COVID-19. This paper introduces a novel pandemic bond designed to alleviate the financial burden on life insurers and reinsurers exposed to pandemic-related mortality risks. The bond's payouts are linked to publicly available pandemic data, enhancing transparency, ensuring timely payments, and mitigating the risks of information asymmetry and moral hazard. A stochastic Susceptible-Infected-Recovered-Deceased (SIRD) model is developed to evaluate the pricing and hedging performance of the PAN bond. Numerical analysis based on U.S. COVID-19 data illustrates the proposed SIRD model's effectiveness in generating reliable probabilistic forecasts of excess mortality and demonstrates the bond's potential as an effective hedge against pandemic-induced mortality risks.
| Original language | English (US) |
|---|---|
| Article number | 103113 |
| Journal | Insurance: Mathematics and Economics |
| Volume | 123 |
| DOIs | |
| State | Published - Jul 2025 |
Keywords
- COVID-19
- Catastrophe bond
- Pandemic mortality risk
- Risk management
- SIRD model
ASJC Scopus subject areas
- Statistics and Probability
- Economics and Econometrics
- Statistics, Probability and Uncertainty
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