To evaluate the price forecasts, we use two data frequencies i.e., annual and quarter with two most demanding techniques, i.e., ARIMA and VAR models to forecast the four index of inflation, named, Consumer Price Index (CPI), Wholesale Price Index (WPI), GNP Price Deflator (GNPPD), and Implicit...

Die vorliegende Arbeit befasst sich mit der Vorhersage von Währungskrisen. Dazu wird ein dreidimensionales Frühwarnsystem für Währungskrisen konstruiert, das anhand zehn osteuropäischer Länder von 1995 bis 2003 mit einer binär logistischen Regression in sample und out of sample auf seine...

In this paper we first investigate the validity of a general Value at Risk approach, which iswidely used for risk management in banking and insurance companies. We discuss and widely rejectthe conventional assumptions, e.g. independent identically distributed normal returns, and as...

The forecasting uncertainty around point macroeconomic forecasts is usually measured by the historical performance of the forecasting model, using measures such as root mean squared forecasting errors (RMSE). This measure, however, has the major drawback that it is constant over time and hence...

In this paper we develop a structural equation model with latent variables in an ordinal setting which allows us to test broker-dealer predictive ability of financial market movements. We use a multivariate logit model in a latent factor framework, develop a tractable estimator based on a...

The purpose of this research is to determine whether bankruptcy forecasting models are subject to industry and time specific effects. A sample of 15,848 firms was obtained from the Compustat and CRSP databases, spanning the time period 1950 to 2013, of which 396 were bankrupt. Using five models...

In this paper, we measure the impact of a downturn in the automobile industry on thesolvency of 28 large German banks. The choice of the stressed sector is motivated by theimportant role which the automobile industry plays in the German economy, not the leastbecause of its close ties to other...

In this paper a robust approach to modelling electricity spot prices is introduced. Differently from what has been recently done in the literature on electricity price forecasting, where the attention has been mainly drawn by the prediction of spikes, the focus of this contribution is on the...