The paper is concerned with the use of several methods that can be useful from the point of view of trend reversal in financial time series. These methods are demonstrated on PX index time series during 2002-2009. The research itself is subdivided into four parts corresponding to individual...

Volatility of the financial time series belongs to the crucial estimated parameters in finance (e.g. in risk management, derivative pricing). It is well known, that volatility varies in time, so that new approaches of volatility modeling have appeared. In this paper two models of the conditional...

The article deals with a typical phenomenon of financial time series - volatility. These time series usually embody intermittent periods of relative "calm" and quite high variability. A volatility modelling of time series is made with the help of special econometric volatility models which...

The article analyzes macroeconomic forecasts of tax revenue in the Czech Republic. Forecasts are tested for their biases on data from Czech Republic from 1993 to 2003. The authors argue that Czech tax-revenue forecasts were highly biased and the hypothesis of unbiasedness could not be rejected...

This paper studies whether the dynamic behavior of real GDP, unemployment and inflation is systematically affected by the timing of elections and by changes of governments in the Czech Republic. Two basic models of political cycles are tested – the political business cycle models and the...

This paper begins with a description of simple select models of inflation and their ability to fit the data. The paper in turn measures the stability of particular parsimonious models. One-step forecast tests are applied, which establish the instability of the money demand model compared with...