The study is focused on macroeconomic stability of the Czech economy. The first part (methodological) stems from the system of national accounting which offers two approaches: from the point of view of relationship between domestic supply and demand and between savings and investments....

Estimation of volatility of financial time series plays a crucial role in pricing derivatives. Volatility is often estimated from historical data; however, it is well known that volatility varies in time. We propose a method to choose a suitable length of historical data to estimate contemporary...

The interconnections within food, biofuel and fossil fuel markets are first described in the context of biofuels technologies and economic policy framework. Consequently, the econometric analysis consisting of Johansen cointegration, error correction model, vector autoregression and Granger...

Modifying IS-MP-IA model by using EU economic characteristics allows for better interpretation of the results. Specifically, from the point of view of the IS and MP curves we obtain useful information about the influence of EU economy on the Czech economy (i.e. on its GDP). We may conclude that...

In the study submitted, selected methods of financial time-series analysis are applied to daily returns of the most liquid stocks at Czech capital market. In most cases, symmetric GARCH(1,1) models are quite satisfactory. Further, ARFIMA models enabling to catch "long memory" of underlying...

Panel data are increasingly being used in both macro- and micro-level studies of economic problems. Macro-panel data (i denotes countries) are characteristic by sufficiently long time series to be able to analyze panel spurious regression and panel cointegration. According to the main stream of...