Temperature futures , hedging , spatio-temporal random fields , heating and cooling degree-days , stochastic simulation
Abstract:
The main objective of this work is to construct optimal temperature futures from available market-traded contracts to hedge spatial risk. Temperature dynamics are modelled by a stochastic differential equation with spatial dependence. Optimal positions in market-traded futures minimizing the variance are calculated. Examples with numerical simulations based on a fast algorithm for the generation of random fields are presented.
Dieser Eintrag ist Teil der Universitätsbibliographie.
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