In the paper we research statistical properties of the Central European stock markets. We focus mainly on the tail behavior of the Czech, Polish, and Hungarian stock markets and compare them to the benchmark U.S. and German stock markets. We fit the data of the 4-year period from March 2005 to...

In the paper we research statistical properties of the Central European stock markets. We focus mainly on the tail behavior of the Czech, Polish, and Hungarian stock markets and compare them to the benchmark U.S. and German stock markets. We fit the data of the 4-year period from March 2005 to...

In this paper, we introduce a new measure of capital market efficiency. For its construction, we use the approaches of fractal dimension, Hurst exponent and entropy. The method is applied on 41 stock indices from the beginning of 2000 till the end of August 2011 and interesting results are found...

In this article we analyse a neoclassical model of inflation. Our aim is to reconstruct the neoclassical theory of inflation to obtain a model which generates non-periodical oscillations of price level. This model is considered to be a realistic approximation of actual price level evolution. We...

Neural networks - feed-forward neural networks and Elman's simplerecurrent neural networks - are compared with vector ARMA models- VAR and VARMA - in this paper. They are compared in anartificial stock market. One risk free and one risky asset aretraded in the market. There are only trend...