Nowadays financial markets are facing continuous values’ fluctuations, resulting in higher risks that eventually influence investors’ decisions. In this article a methodology is proposed in order to efficiently build portfolios of futures. The new methodology is tested on data from the...

The Theta model created a lot of interest in academic circles due to its surprising performance in the M3-competition. However, this interest was not followed by a large number of studies, with the exception of Hyndman and Billah in 2003. The present study discusses the advances in the model...

Beets’ cultivation and sugar production represent one of the most important parts of Greek agricultural economy. A careful and well-organized planning of the production as well as the determination of an accurate safety stock is important for sugar industry, as for many other companies and...

Governments often use budget so as to provide incentives for citizens to adopt new policies, especially when these are promoting eco-friendly technologies e.g. to subsidise the price of a hybrid-car. The public money spent on each policy, is considered to be value-for–money only if many...

The Theta model created a lot of interest in academic circles due to its surprisingly good performance in the M3 forecasting competition. However, this interest was not followed up by other studies, with the exception of Hyndman and Billah in 2003. In addition, the Theta model performance has...

Machine learning has shown great potential in various domains, but its appearance in inventory control optimization settings remains rather limited. We propose a novel inventory cost minimization framework that exploits advanced decision-tree based models to approximate inventory performance at...

Over the years, families of forecasting models, such as the exponential smoothing family and Autoregressive Integrated Moving Average, have expanded to contain multiple possible forms and forecasting profiles. In this paper, we question the need to consider such large families of models. We...

A major problem for many organisational forecasters is to choose the appropriate forecasting method for a large number of data series. Model selection aims to identify the best method of forecasting for an individual series within the data set. Various selection rules have been proposed in order...