The classical NBER leading indicators model was built solely within a linear framework. With recent developments in nonlinear time-series analysis, several authors have begun to examine the forecasting properties of nonlinear models in the field of forecasting business cycles. The research...

To avoid the pitfalls of the widely used NBER model, in this paper we have adopted neural networks to forecast business cycles. We find that our model has overcome some of the main deficiencies of the classical leading indicators model: first, the model was able to correctly forecast all...

This paper studies cyclic patterns in the Slovene economy with spectral analysis. It examines if the transition in Slovenia was marked by a statistically significant movement of aggregate economic activity, which corresponds to the definition of business cycle proposed by Mitchell and Burns...

This article examines the demand for services of the Slovenian national postal operator for the direct mail and periodicals market and separately for the direct mail market. The main factors of the demand are found to be various price indicators with respect to individual market, two income...

In this paper we address the primary problem of lenders: how to distinguish between low- and high-risk debtors prior to granting credit. We constructed two types of credit scoring models: one based on standard logistic regression and the other on growing cell structures (GCS), something which...