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Climate-vulnerable municipalities require long-term capital for resilient infrastructure, yet fixed-coupon debt leaves them highly exposed during climate shocks. When disasters strike, revenues fall and emergency spending rises, while debt service remains rigidly fixed. To address this, this paper develops and begins piloting a state-contingent climate resilience bond as an action research programme. This innovative instrument links municipal debt service directly to observable climate triggers rather than maintaining fixed payments through disaster years. Building on sovereign climate-resilient debt literature, evidence of climate risk pricing in fixed-coupon municipal bonds, recent evidence on how volatility and macroeconomic regimes shape green and climate bond pricing, and extreme value theory for catastrophe bonds, the paper specifies a comprehensive framework. This includes a hazard model, a formally weighted multi-index parametric trigger, a macroeconomic-regime-augmented municipal fiscal stress model, a bond pricing model, a simulation design, and an optimisation problem that balances municipal relief, investor returns, default probability, and basis risk. The framework is grounded in the Greater Accra Metropolitan Area, Ghana, which currently operates a parametric flood insurance facility and is actively debating municipal bond introduction. The paper anchors one parameter of the fiscal stress model in real, published municipal revenue data, and, because the eight-event historical flood record cannot support a defensible statistical calibration, supplements the symbolic pricing mechanics with an explicitly labelled proof-of-concept Monte Carlo demonstration run on synthetic, simulated hazard data, illustrating how the framework's equations would operate once real calibration data are secured, without presenting the result as a calibrated pricing estimate for GAMA itself. The paper concludes by comparing this approach against related sovereign and regional instruments, outlining current evidence limitations, and identifying the primary fiscal and hazard data required to transition this instrument toward actual issuance.
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Oppong et al. (2026) studied this question.
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