Abstract
In the paper, preliminary results of the analysis of potential use of climate forecast information in designing rainfall index insurance in the southeastern region of the U.S. are reported. Joint distributions of bi-monthly rainfall and El Nino Southern Oscillation (ENSO) indexes are estimated using copula analysis of historical data. The risk reducing effectiveness of introducing premiums conditional on ENSO forecast is evaluated. The results indicate some dependence of the downward volatility of rainfall on the lagged ENSO (forecast) index, particularly in the coastal areas and in the late winter and spring.
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