Extreme weather caused by climate risks bring serious uncertainty to the economy. We use soil moisture data from satellite readings to study the impacts of climate risks on profitability change of food industry and to test if the capital market is efficient. We find that the profitability...

A thorough review of the advances made so far in seasonal climate predictions and their applications for management and decision-making in agriculture.A practical tool for decision-makers, this book identifies the challenges to be addressed in the next 5 to 10 years, especially in developing...

Climate change is predicted to substantially alter forest growth. Optimally, forest owners should take these future changes into account when making rotation decisions today. However, the fundamental uncertainty surrounding climate change makes predicting these shifts hard. Hence, this paper...

Despite much scientific evidence, a large fraction of the American public doubts that greenhouse gases are causing global warming. We present a simulation model as a computational test-bed for climate prediction markets. Traders adapt their beliefs about future temperatures based on the profits...