Abstract: Advances in forecasting technologies provide opportunities to develop forecast-contingent mechanisms to finance early actions. In this paper, I examine trigger-based mechanisms to take loss-reducing early actions before a disaster occurs. Using a theoretical model, I provide comparative statics results for the effects of exogenous economic factors on the optimal financing amount and forecast trigger. My analyses provide three key insights. First, when forecast skill is low, more risk aversion leads to higher financing and lower forecast trigger levels. However, as forecast skill improves, the effect of risk aversion on the optimal financing becomes negligible. Second, when forecast skill improves, it is optimal to choose higher levels of financing as well as higher levels of trigger, and vice versa. Third, using numerical analysis, I show that the benefits of a trigger-based FbF plan may be comparable to those of a fully-contingent scenario. 

Abstract: Improvements in forecasting technologies provide an opportunity to take anticipatory actions before disasters occur. However, traditional ex-post financing and lack of operational capacity often discourage countries from taking early actions. This paper examines anticipatory index insurance, focusing on a pilot by African Risk Capacity in Malawi and Zambia for drought risk. The product offers early-action capacity development and provides forecast-contingent financing for predetermined actions. However, its benefits are unclear due to the trade-off between acting early on uncertain forecasts and providing relief after certain losses. Since imperfect forecasts increase basis risk, anticipatory index-insurance can significantly exacerbate this trade-off. Using a stylized economic model and numerical analysis, we unpack the sources of value from anticipatory insurance and identify the range of economic conditions under which the product is beneficial. The primary benefit of anticipatory insurance comes from developing a country’s operational capacity to take forecast-based actions. However, the insurance mechanism's incremental benefit may not always outweigh premium costs due to basis risk when forecasts are imperfect. Our results can guide aid agencies and governments in designing the optimal financing plan for forecast-based anticipatory actions.