Recently, with the development of financial markets and due to the importance of these markets and their close relationship with other macroeconomic variables, using advanced mathematical models with complicated structures for forecasting these markets has become very popular. Besides, neural...

We evaluate the prediction accuracy of models designed using different classification methods depending on the technique used to select variables, and we study the relationship between the structure of the models and their ability to correctly predict financial failure. We show that a neural...

This paper examines and presents a simple algorithm for prediction stock written in MATLAB code. We apply it to thirty stocks of the Athens exchange stock market . We obtain the stock returns and we would like to predict, not the actual price , but the sign of stock returns. The results are very...

The main purpose of the present study was to investigate the capabilities of two generations of models such as those based on dynamic neural network (e.g., Nonlinear Neural network Auto Regressive or NNAR model) and a regressive (Auto Regressive Fractionally Integrated Moving Average model which...

This paper looks into the Greek – Turkish arms race a decade after an earlier contribution on the issue that relied heavily on Artificial Neural Networks. The time period between the two papers contributes to the reliability of the results derived, not just by increasing the number of...

The purpose of this book is to provide such a platform or framework that will describe the Cyprus problem as a major issue affecting the relations between Greece and Turkey and the arms race between the two countries. It is very important to point out, however, that solving the Cyprus issue is...

This paper aims at evaluating the extent to which the defence expenditure of Greece and Cyprus given their arms race against Turkey in the context of the Integrated Defence Doctrine policy constitutes a burden feasible to bear. The evaluation takes place using an Optimal Control solution...