In high-risk environments, traditional indemnity insurance is often unaffordable or ineffective, despite its well-known optimality under expected utility. We compare excess-of-loss indemnity insurance with parametric insurance within a common mean–variance framework, allowing for fixed costs, heterogeneous premium loadings, and binding budget constraints. Motivated by the disaster insurance and risk-sharing literature, we show that, once these realistic frictions are introduced, parametric insurance can yield higher welfare for risk-averse individuals, even under the same utility objective and without relying on behavioral assumptions.

The key factor is that indemnity insurance, typically written on a full-value basis, is difficult to scale down: affordability is restored only by increasing deductibles, which can render coverage economically irrelevant. By contrast, parametric insurance allows for explicitly bounded, first-dollar protection that remains feasible even under tight budget constraints. As a result, small but timely payouts can meaningfully improve welfare by alleviating liquidity constraints and supporting early recovery, even when they cover only a fraction of total losses.

We characterize the conditions under which parametric insurance dominates indemnity insurance and show that this advantage is non-monotonic in the available premium budget. It emerges when indemnity insurance becomes impractical, weakens as affordability improves, and disappears once both contracts are unconstrained. Our results reconcile classical insurance theory with the growing use of parametric risk transfer in high-risk settings, highlighting its role as a welfare-enhancing instrument when full indemnification is no longer feasible.