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...

Like all the member states of the European Union, Slovenia was also obligated to implement EUDirectives 2006/48/EC and 2006/49/EC into national banking legislative. Basel II rules were implementedinto Slovenian legislative in December 2006 and have been valid from 1st of January 2007. Before...

Paper presents a mechanism for measuring stability of banking system based on the default risk of nonbanking debtors and contagion potential of banks. The approach is tested on 1,000 randomized network topologies of 40 real banks. Banking system is treated as a complex system and stability is...

This paper brings simulations of an agent-based model of liquidity flows among banks. The model presented here is built on some fundamental, well-established assumptions from the theory of banking and finance. A critical part of the paper introduces a set of base-level rules, aimed at providing...

An auditor's report qualifies a company's financial statements if the management's representation of the company's financial affairs is not in accordance with nationally generally accepted accounting pronouncements. The present research studies the qualification of auditors' reports in relation...

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...