Parametric insurance

Take a textbook case. A Caribbean island state joins the Caribbean Catastrophe Risk Insurance Facility (CCRIF), set up in 2007; a hurricane passes, CCRIF's model turns its track and winds into a modeled loss for the country, that loss exceeds the attachment point, and 50 million dollars go out within fourteen days, before any damage survey. That is parametric, or index-based, insurance: the payout follows a physical or economic index fixed in the contract rather than the loss actually suffered. Index breached, agreed sum paid, with no adjuster and no proof of damage. In the strict sense, index-based insurance is the form where the index is aggregate, measured across a geographic area rather than specific to each policyholder: a rainfall deficit, or excess heat or cold, read by certified stations or by satellite. Between an attachment point A and an exhaustion point E on the index I, the payout equals limit × (I − A) / (E − A), floored at zero and capped at the limit, unless the contract uses a step schedule or a binary all-or-nothing payment. The cost of a parametric policy is built like any other risk transfer, modeled annual expected loss plus a load for model uncertainty, expenses and capital, and the market quotes it as rate on line. Hence settlement in days rather than months, no adjustment costs, little moral hazard, and the ability to cover agricultural drought or a sovereign. The hidden price is basis risk. A heavy loss with the index below the trigger collects nothing, and the reverse pays with no loss. Indemnity cover avoids that gap because it pays the actual loss, though late and only after adjustment. The line with a weather derivative is legal: the policy requires an insurable interest, the derivative does not. The structure shows up in rainfall and area-yield indices for smallholders, at ARC in Africa, in parametric-trigger cat bonds such as those issued for Mexico's FONDEN, in parametric reinsurance bought alongside an excess of loss treaty, and at insurtechs indexing cyber cover on the length of a cloud outage. In emerging-market agriculture, where checking each loss costs too much, its very low administrative cost opens it to unbanked or isolated populations, provided reliable data infrastructure exists; large programs such as India's PMFBY, launched in 2016, have covered tens of millions of smallholders who had never had access to insurance protection.