Over the last four decades, bankruptcy prediction has given rise to an extensive body of literature, the aim of which was to assess the conditions under which forecasting models perform effectively. Of all the parameters that may influence model accuracy, one has rarely been discussed: the...

Excerpt: Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this...

The design of models for time series forecasting has found a solid foundation on statistics and mathematics. On this basis, in recent years, using intelligence-based techniques for forecasting has proved to be extremely successful and also is an appropriate choice as approximators to model and...

Excerpt: Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this...

This paper proposes a Markov-switching framework useful to endogenously identify regimes where economies enter recessionary and expansionary phases synchronously, and regimes where economies are unsynchronized following independent business cycle phases. The reliability of the framework to track...

This paper offers an alternative approach to policy modeling aiming at considering the question of the Greek current account deficit sustainability using Fuzzy Cognitive Maps (FCM). Given that the large Greek current account deficit figures reported during the past few years have become the...

Of the methods used to build bankruptcy prediction models in the last twenty years, neural networks are among the most challenging. Despite the characteristics of neural networks, most of the research done until now has not taken them into consideration for building financial failure models, nor...

This paper is a critical review of the variable selection methods used to build empirical bankruptcy prediction models. Recent decades have seen many papers on modeling techniques, but very few about the variable selection methods that should be used jointly or about their fit. This issue is of...

The Brownian correlation has been recently introduced by Székely et al. (2007; 2009), which has an attractive property that when it is zero, it guarantees independence. This paper investigates into the effects and advantages, if any, of replacement of the Pearsonian coefficient of correlation (r)...

This note provides some examples of plant leaves whose outline maps exhibit Poincaré recurrence and mixing while subjected to repeated Anosov diffeomorphic transformation. The datasets and a computer program (Fortran 77) have also been given.