We propose a decomposition method for the solution of a dynamic portfolio optimization problem which fits the formulation of a multistage stochastic programming problem. The method allows to obtain time and nodal decomposition of the problem in its arborescent formulation applying a discrete...

We give the reader a tour of good energy optimization models that explicitly deal with uncertainty. The uncertainty usually stems from unpredictability of demand and/or prices of energy, or from resource availability and prices. Since most energy investments or operations involve irreversible...

The aim of this paper is to analyse the role of uncertainty in shaping the decisions of firms in the underground economy. Following the option value approach, we present a dynamic model which captures (i) the irreversibility of riallocation decisions from the underground sector to the legal...

We consider stochastic optimization problems involving stochastic dominance constraints of first order, also called stochastic ordering constraints. They are equivalent to a continuum of probabilistic constraints or chance constraints. We develop first order necessary and sufficient conditions...

Este trabajo analiza la entrada y la competencia en servicios de telecomunicaciones, en los que las empresas se diferencian por sus costes hundidos y por la valoración que reciben de los consumidores. En este marco de análisis desaparece el problema de coordinación presente en la literatura...

We introduce call externalities in the standard model of network competition with termination-based price discrimination, and employ a simple graphical analysis to study the outcome of competition. In contrast to recent results in the literature, we find that even under linear pricing, access...