Abstract:
This work aimed to study the alternative ways of calculating the revenue insurance premium rate, taking as an example the case of soybeans in Campo Mourão and Toledo. Revenue insurance guarantees protection against price and yield risks. The premium rate is one of the central elements in the development of insurance products. Two approaches were presented: the univariate and the bivariate. The results showed significant differences when comparing the methodologies. Revenue insurance was at a higher level than the yield insurance, possibly inflated by the effect of price risk.
Keywords:
revenue insurance; risk; statistical modeling; crop insurance