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Neural Networks for pricing derivatives on temperatures

(2021)

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Rosseels_Guillaume_46881500_2021.pdf
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Abstract
In this thesis we will use neural networks to model the different components of temperatures. We will therefore try to validate our model assumptions on Madrid temperatures. Then , we will price options and futures contracts on these data thanks to Monte Carlo simulations in order to asses the impact of these assumptions on weather derivatives prices.