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 article summarizes the main points discussed at the seminar on The Nobel Prize Laureates, 2003, held by the Czech Economic Association in March 2004. The seminar featured two main speakers: Josef Arlt (University of Economics, Prague, and Charles University, Prague), who lectured on the work...

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...

The present article is focused on the Capital Asset Pricing Model (CAPM) and its implementation into American Stock Market. It attempts to empirically test the validity of the CAPM to estimate individual stock returns based on historical stock data of selected companies. Security Market Line...

Our study contains application of Latent Semantic Indexing on financial crises prediction. Hypothesis to test was that equity markets are able to predict even sharp changes in monetary policy during a quarter ahead of such a change (which was searched during two quarters that followed). This...