Credit to the private sector has risen rapidly in European emerging markets but its risk evaluation has been largely neglected. Using retail-loan banking data from the Czech Republic we construct two credit risk models based on logistic regression and Classification and Regression Trees. Both...

A methodology to calibrate multifactor interest rate model for transition countries is proposed. The usual methodology of calibration with implied volatility cannot be used as there are no markets for regularly traded derivatives. The existence of such a markets is essential for this...

We investigate the decisions of individuals in simple and complex environments. We use a version of the Guessing Game (Beauty-contest Game) as a vehicle for our investigation, employing mathematically talented students. We find that our subjects think in complex environments more carefully...

We investigate the decisions of individuals in simple and complex environments. We use a version of the Guessing Game (Beauty-contest Game) as a vehicle for our investigation, employing mathematically talented students. We find that our subjects think in complex environments more carefully...

The paper reviews the best-developed and most frequently applied methods of credit scoring employed by commercial banks when evaluating loan applications. The authors concentrate on retail loans – applied research in this segment is limited, though there has been a sharp increase in the volume...

A methodology to calibrate multifactor interest rate model for transition countries is proposed. The usual methodology of calibration with implied volatility cannot be used as there are no markets for regularly traded derivatives. The existence of such a markets is essential for this...

Credit to the private sector has risen rapidly in European emerging markets, but its risk evaluation has been largely neglected. Using retail-loan banking data from the Czech Republic, we construct two credit risk models based on logistic regression and classification and regression trees. Both...

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

This paper focuses on key macroeconomic driving factors influencing the loss given default (LGD) - an important credit risk parameter determining credit losses of the banking sector. Various econometric approaches are applied on both individual and aggregated data for different bank segments in...

This paper investigates the question of whether there exists evidence in support of inflation convergence within the European Union. The analysis also focuses on whether the Exchange Rate Mechanism (ERM) helped to accelerate inflation convergence in its member countries. The results of this...