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The application of yield time series in risk analysis prerequisites the estimation of technological trend which might be present in the data. In this paper, we show that in presence of highly volatile yield time series and non-constant technology, the consideration of the weather effect in the...

An adequate representation of the technological trend component of yield time series is of crucial importance for the successful design of risk management instruments. However, for many transition and developing countries, the estimation of the technological trend is complicated by the joint...

We analyze the current state and future requirements of an agricultural income stabilization mechanism in a transition country – namely, the crop insurance system in Kazakhstan. Three objectives will be pursued: First, factors influencing the development of the crop insurance market will be...

The study introduces an ex-ante evaluation concept into the analysis of weather-based index insurance effectiveness. We conduct our ex ante analysis by distinguishing between two consecutive periods: the first period is used for determining insurance parameters and optimal number of insurance...

We analyse area yield insurance contracts and weather index insurance contracts in terms of risk reduction for wheat farms in Kazakhstan over the period 1980-2002. We combine the common mean-variance approach with a stochastic dominance approach to ensure the consistency of the empirical results...

We evaluate yield risk reduction through weather index, area yield index and farm yield insurance contracts for wheat farms in Kazakhstan by employing data from 1980 to 2002. We use the usual mean variance (MV) approach and also a second-degree stochastic dominance (SSD) criterion. While MV is...