This paper presents one of the inflation forecasting models used by the Magyar Nemzeti Bank in its recent inflation forecasts. The model attempts to integrate all the properties of the former models considered by the author as being advantageous and desirable into a unified framework. Thus, this...

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...

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...