Some stylised facts about the exchange rate behaviour of Central European currencies

and tries to find evidence of some stylised facts. Statistical methods and an econometric approach
to the univariate time series modelling of high-frequency data, i.e., daily, are used.
The main conclusions are as follows: (1) All the CE nominal exchange time series are not stationary:
nevertheless, stationarity of all the return time series was confirmed. (2) Volatility clustering was
proven and the GARCH modelling approach was successfully applied, including asymmetric
modelling of volatility. (3) The more flexible an exchange rate regime is, the more volatile the
respective currency. This is true for both nominal and real exchange rates. While nominal volatility
is lower than real volatility in a system of fixed or less flexible exchange rates, the opposite is true for flexible systems: exchange rate volatility is higher in nominal terms than in real terms.