Parametric insurance for drought and market impacts mitigation in the hydropower sector

This study presents a comprehensive framework for designing and evaluating parametric insurance schemes aimed at reducing financial risks arising from drought and volatile electricity markets in the hydropower sector. It examines how multivariate indices—particularly those combining hydrological and market variables—can better capture climate‑ and market‑related hazards, thereby strengthening disaster risk reduction efforts. Using the Lake Como Basin in northern Italy as a case study, the paper analyses why hydropower operators are increasingly exposed to climate‑driven droughts and price fluctuations, how different index structures and contract types perform, and for whom these mechanisms are most effective. The work evaluates four contract types (standard, collar, binary, and a newly proposed hybrid model) over a 1,000‑year synthetic dataset to understand their implications for both insurers and hydropower operators, offering insights applicable to similar contexts worldwide. 

The authors recommend adopting multivariate, information‑rich indices to minimise basis risk and enhance the reliability of payouts, while encouraging closer collaboration between insurers and operators to optimise contract design. Collar contracts emerge as the most effective for operators seeking strong risk mitigation, whereas hybrid contracts offer a balanced solution where insurers face capital constraints. Lessons learned emphasise the need for robust data systems, careful strike selection, and consideration of market dynamics in insurance design. The study also highlights opportunities for scaling such schemes across regions, integrating cross‑sectoral risks, and adapting contract structures to evolving climate and energy market uncertainties.