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Abstract

In many areas agriculture is exposed to weather related risks. Weather derivatives that get more and more in the focus of interest can reduce these risks. In this study we develop a temperature based weather derivative and analyse how it can reduce the weather-related energy cost risk in greenhouse production. We base this study on a temperature index whose stochastic characteristics are analysed. Finally we simulate the heating demand for energy of a horticultural firm.

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