We compare prices of financial derivatives whose payouts are based on future weather
outcomes to CMIP5 climate model predictions as well as observed weather station data …

We introduce and define a new concept,'Spatial Finance', as the integration of geospatial
data and analysis into financial theory and practice, and describe how developments in …

We provide the first revealed preference estimates of the benefits of routine weather
forecasts. The benefits come from how people use advance information to reduce mortality …

Weather derivatives (WD) are end-products of a process known as securitization that
transforms non-tradable risk factors (weather) into tradable financial assets. For pricing and …

This paper introduces a new temperature index, which can suitably represent the underlying
of a weather derivative. Such an index is defined as the weighted mean of daily average …

Scientific agencies spend substantial sums producing and improving forecasts of seasonal
climate, but they do so without much information about these forecasts' value in practice …

Many business people such as farmers and financial investors are affected by indirect
losses caused by scarce or abundant rainfall. Because of the high potential of insuring …

We propose a continuous‐time autoregressive model for the temperature dynamics with
volatility being the product of a seasonal function and a stochastic process. We use the …

In mid 2012, the world's political leaders, and a multitude of scientific, UN, governmental and
non-governmental agencies, met in Rio to discuss the world's environmental crisis, and to …

Warm or cold, wet or dry, weather impacts almost every industry as 70% of businesses are
exposed to unexpected variations that influence demand for goods and services. The …