Selected Problems of Stochastic Optimisation under Uncertainty
Vadim Omelcenko
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Selected Problems of Stochastic Optimisation under Uncertainty

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In this work, we analyse heavy tailed distributions with most emphasis on stable distributions, deal with stochastic dominance, and apply these results in optimisation problems which arise from gas storage valuation. We use stochastic dynamic programming for solving this problem and deal with different price models, such as discretised price model with the stable transition matrix estimated from observations, Ornstein-Uhlenbeck, AR(1)- GARCH(1,1) models, etc. We take into account the feature that some European gas storage units are connected to several markets and translate it into our optimis...