Hedging weather exposure
Assume DisCo, a power distribution company, has full service requirement contracts with customer(s). The customer is paying fixed-price (tariff) T per MWh, and the customer's weather-sensitive power demand L is approximately linear in temperature (or rather degree days, eg, Diaz and Quayle [1980]), t:
Figures 7 and 8 show the probability density distribution for weather-contingent change in DisCo revenue under the five hedging scenarios. Figure 7 corresponds to an ideal case when hedging can be
More on Weather risk
Weather house of the year: Parameter Climate
Energy Risk Awards 2025: Advisory firm takes unique approach to scale weather derivatives markets
Weather house of the year: Sompo Global Weather
Energy Risk Awards 2018: Weather derivatives provider launches innovative platform to serve clients
Advancing on all fronts
Sompo Global Weather continues to expand its offering with timely, tailored weather risk solutions designed to service a growing global audience and diversification into new sectors supplying responsive solutions
Weather house of the year: Sompo Global Weather
Energy Risk Awards 2017: Innovative data solutions drive weather market
Weather house of the year: Endurance Global Weather
Team crafts innovative wind contracts to manage generators’ unique risks
Weather Talk: Video Q&A with Swiss Re Corporate Solutions’ Stuart Brown
Sponsored video: Swiss Re Corporate Solutions
Data provider of the year: StatWeather
StatWeather impresses energy traders with long-range forecasts
Weather house of the year: Munich Re Trading
Weather derivatives specialist wins praise for consistent, high-quality service