We propose a hybrid quantum-classical algorithm, originated from quantum chemistry, to price European and Asian options in the Black-Scholes model. Our approach is based on the equivalence between the pricing partial differential equation and the Schrodinger equation in imaginary time. We devise...

Renewable energies are meant to produce a large share of the future electricity demand. However, the availability of wind and solar power depends on local weather conditions and therefore weather characteristics must be considered when optimizing the future electricity mix. In this article we...

Bottom-up optimization models neglect the inclusion of investment behavior We introduce three investor types that differ in their investment cost specifications, financing costs, and discounting. This leads to a substantially different pace and rate of adoption for specific generation...

In this paper we describe three different algorithms, from which two (as far as we know) are new in the literature. We take both the size of the jump as the jump times as decision variables. The first (new) algorithm considers an Impulse Control problem as a (multipoint) Boundary Value Problem...

We study optimal contracts when R\&D is outsourced to another company. We find that, when a realistic assumption holds, the optimal contract always leads in equilibrium to the lowest acceptable chance of having a successful technical innovation, given announced compensations. This assumption is...

This paper introduces a flexible method based on dynamic programming to calculate the quantitative value of any approach to managing the innovation process. The quantification lets managers precisely compare the values of different approaches, and so identify those that are optimised for their...