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...

This paper presents regression analyses of import and export functions in the Czech Republic from 1993 to 1998. The first part of the article summarizes the standard Keynesian income approach to the balance of payments. This traditional theory is considered alongside the theory of the monetary...

Cílem práce je odhadnout a vyšetøit dlouhodobý vztah mezi penìžní zásobou M1, cenovou hladinou, výstupem a alternativními náklady držby penìz a to, zda lze tento vztah - v pøípadì, že existuje - interpretovat ve smyslu dlouhodobé poptávky po penìzích. Práce využívá pøi...

Èlánek struènì shrnuje dosavadní pøístupy k odhadu parametrù a poèáteèních podmínek pro modely ve stavovém tvaru. Ukazuje možnosti využití jednotlivých metod, stejnì jako jejich výhody a nevýhody. Podrobnìji je zde zmiòována metoda maximální vìrohodnosti pro modely ve...

We analyze the extent of the integrated state control over the privatized companies in the Czech Republic during the decade of 1995-2005. During this period, the integrated potential of the state to control companies had a pyramid-like form. Even though the pyramid control was not fully...

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...

Learning process is a new approach of filling the gap between adaptive expectations and rational expectations. Private agents are learning new information and adjust their expectation about the inflation and output gap. Central bank transparency is one of the key factors of learning by private...