Neural Networks in Bankruptcy Prediction - A Comparative Study on the Basis of the First Hungarian Bankruptcy Model

The article attempts to answer the question whether or not the latest bankruptcy prediction techniques are more reliable than traditional mathematical–statistical ones in Hungary. Simulation experiments carried out on the database of the first Hungarian bankruptcy prediction model clearly prove that bankruptcy models built using artificial neural networks have higher classification accuracy than models created in the 1990s based on discriminant analysis and logistic regression analysis. The article presents the main results, analyses the reasons for the differences and presents constructive proposals concerning the further development of Hungarian bankruptcy prediction.

The calculation of dynamic ecological footprint on the basis of the dynamic input-output model

The Leontief input-output model is widely used to determine the ecological footprint of consumption in a region or a country. It is able to capture spillover environmental effects along the supply change, thus its popularity is increasing in ecology related economic research. These studies are static and the dynamic investigations are neglected. The dynamic Leontief model makes it possible to involve the capital and inventory investment in the footprint calculation that projects future growth of GDP and environmental impacts. We show a new calculation method to determine the effect of capital accumulation on ecological footprint. Keywords: Dynamic Leontief model, Dynamic ecological footprint, Environmental management, Allocation method

Application of support vector machines on the basis of the first Hungarian bankruptcy model

In our study we rely on a data mining procedure known as support vector machine (SVM) on the database of the first Hungarian bankruptcy model. The models constructed are then contrasted with the results of earlier bankruptcy models with the use of classification accuracy and the area under the ROC curve. In using the SVM technique, in addition to conventional kernel functions, we also examine the possibilities of applying the ANOVA kernel function and take a detailed look at data preparation tasks recommended in using the SVM method (handling of outliers). The results of the models assembled suggest that a significant improvement of classification accuracy can be achieved on the database of the first Hungarian bankruptcy model when using the SVM method as opposed to neural networks.

Vezetőkkel szemben támasztott munkaerő-piaci kompetenciaelvárások a Heti Világgazdaság és a The Economist álláshirdetéseinek elemzése alapján (Job market competency requirements for managers on the basis of the analysis of job advertisements in the Heti Világgazdaság and The Economist)

A szervezet dolgozói között kiemelt fontosságúak a vezetők, hiszen döntéseikkel, működésükkel a szervezet életét közvetlenül, és sokszor hosszú távra befolyásolják. Annak a vállalatnak, mely megtartani, növelni szeretné piaci pozícióját, különös hangsúlyt kell fektetnie vezetőinek kiválasztására, a későbbiekben pedig fejlesztésére. A szerző cikkében azt mutatja be, hogy a közgazdászképzettséggel rendelkező vezetők iránti munkaerő-piaci kereslet (a HVG-hirdetések elemzése alapján) milyen minőségi jellemzőket mutatott 2000–2009 között. A szerző részletesen ismerteti az eredményeket, melyek értelmezéséhez a Spencer és munkatársai által kidolgozott kompetenciamodell saját továbbfejlesztett változatát használja fel. Kitekintés céljával a magyar eredmények mellett bemutatja, hogy egy más gazdasági struktúrával, kultúrával rendelkező országban hogyan alakultak a vezetőkkel szemben támasztott kompetencia-elvárások. Az eredmények – melyeket más hazai felmérések is alátámasztanak – azt tükrözik, hogy a magyar vezetőkkel szemben támasztott munkaerő-piaci kompetencia-elvárások eltérnek a szakmai várakozásoktól és élesen eltérő képet mutatnak a The Economist hirdetéselemzésének eredményétől. _________ The thesis that the most important factor which determines the competitiveness of future companies is the quality of human resources has received increasingly more emphasis in the literature on management. The managers of organizations have a key role since they can directly influence the life of the organization by their decisions and work, often for a long term. Therefore, a company which intends to maintain or improve its market position should place special emphasis on the selection, and later on the development of its managers. In the present paper the author presents the characteristic features of job market demand for managers with qualifications in economics between 2000 and 2009 (on the basis of the analysis of job advertisements published in the economic weekly paper Heti Világgazdaság). The author gives a detailed analysis of the results using the competence model developed by Spencer et al. and further developed by the author. In addition to the Hungarian results, the paper also provides an overview of how managers are selected in a country with a different economic structure and culture. The results – also supported by other surveys conducted in Hungary – demonstrate that the competence expectations of the job market for Hungarian managers fail to meet professional expectations; the picture is sharply different from what the analysis of job advertisements published in The Economist show, and the competence expectation changed very little, though quite strikingly, over the period under discussion.