An estimation of the number of multiplication and addition operations fortraining articial neural networks by means of consecutive and parallel algorithmson a computer cluster is carried out. The evaluation of the eciency of thesealgorithms is developed. The multilayer perceptron, the Volterra...

This Article argues that the rise of algorithmic trading undermines efficient capital allocation in securities markets. It is a bedrock assumption in theory that securities prices reveal how effectively public companies utilize capital. This conventional wisdom rests on the straightforward...

This Article argues that the rise of algorithmic trading profoundly challenges the foundation on which much of today's securities regulation framework rests: the understanding that securities' prices objectively reflect available information in the market. The Efficient Capital Markets...

In this paper we propose a Pyramidal Classification Algorithm, which together with an appropriate aggregation index produces an indexed pseudo-hierarchy (in the strict sense) without inversions nor crossings. The computer implementation of the algorithm makes it possible to carry out some...

This paper analyzes the impact of model complexity on the net present value distribution and the expected default probability of equity investments in project finance. Model complexity is analyzed along two dimensions: simulation complexity and forecast complexity. We aim to identify model...