This study examines problems that may occur when conventional Value‐at‐Risk (VaR) estimators are used to quantify market risks in an agricultural context. For example, standard VaR methods, such as the variance‐covariance method or historical simulation, can fail when the return...

In usual pricing approaches for weather derivatives, forward-looking information such as meteorological weather forecasts is not considered. Thus, important knowledge used by market participants is ignored in theory. By extending a standard model for the daily temperature, this paper allows the...

Purpose – The purpose of this paper is to assess the losses of weather‐related insurance at different regional levels. The possibility of spatial diversification of insurance is explored by estimating the joint occurrence on unfavorable weather conditions in different locations, looking...

Purpose – The purpose of this paper is to review some challenges of insuring weather risk in agriculture and to discuss potential remedies for these problems. Design/methodology/approach – The paper is developed as a narrative on weather insurance based largely on existing literature....

Purpose – The purpose of this paper is to examine the aggregate demand for single- and multi-year crop insurance contracts and to discuss market potential for multi-year crop insurances. Design/methodology/approach – In this paper the authors develop a dynamic discrete choice model of...