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Neural Networks-Based Forecasting Regarding the Convergence Process of CEE Countries to the Eurozone

Transylvanian Review of Administrative Sciences

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Title Neural Networks-Based Forecasting Regarding the Convergence Process of CEE Countries to the Eurozone
 
Creator RĂDULESCU, Magdalena; Associate Professor, Department of Finance, Faculty of
Economics, University of Pitești, Pitești, Romania
BANICA, Logica; Associate Professor, Department of Accounting, Faculty of
Economics, University of Pitești, Pitești, Romania
 
Subject nominal convergence; real convergence; euro-zone; Central and Eastern European Countries; forecasting model; neural networks
 
Description In the crisis frame, many forecasts failed to provide well determined ratios. What we tried to explain in this paper is how some selected Central and Eastern European countries will perform in the near future: Romania, Bulgaria, Hungary, Poland and Czech Republic, using neural networks- based forecasting model which we created for the nominal and real convergence ratios. As a methodology, we propose the forecasting based on artificial neural network (ANN), using the well-known software tool GMDH Shell. For each output variable, we obtain a forecast model, according to previous values and other input related variables, and we applied the model to all countries. Our forecasts are much closer to the partial results of 2013 in the analyzed countries than the European Commission’s or other international organizations’ forecasts. The results of the forecast are important both for governments to design their financial strategies and for the investors in these selected countries. According to our results, the Czech Republic seems to be closer to achieve its nominal convergence in the next two years, but it faces great difficulties in the real convergence area, because it did not overpass the recession.
 
Publisher Babes Bolyai University
 
Contributor —
 
Date 2014-06-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://rtsa.ro/tras/index.php/tras/article/view/99
 
Source Transylvanian Review of Administrative Sciences; 2014: Issue No. 42 E/June; 225-246
1842-2845
 
Language eng
 
Relation http://rtsa.ro/tras/index.php/tras/article/view/99/95
 
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