National Repository of Grey Literature 182 records found  beginprevious172 - 181next  jump to record: Search took 0.01 seconds. 
Comovement of Central European stock markets using wavelet coherence: Evidence from high-frequency data
Baruník, Jozef ; Vácha, Lukáš ; Krištoufek, Ladislav
In this paper, we contribute to the literature on international stock market comovement and contagion. The novelty of our approach lies in usage of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between stock market returns in completely different way. Major part of economic time series analysis is done in time or frequency domain separately. Wavelet analysis can combine these two funda- mental approaches, so we can work in time-frequency domain. Using wavelet coherence, we have found very interesting dynamics of cross-correlations be- tween Central European and Western European stock markets. We analyze the high-frequency (5 minute) and low-frequency (daily) data of Czech (PX), Hungarian (BUX) and Polish (WIG) stock indices with a benchmark of German stock index (DAX) on the period of 2008-2009. Our findings provide possibility of a new approach to financial risk modeling.
Chování středoevropských trhů počas finanční krize
Baruník, Jozef ; Vácha, Lukáš ; Vošvrda, Miloslav
In the paper we research statistical properties of the Central European stock markets.
Výběrové vlastnosti Odhadů Hurstova exponentu na datech s težkými chvosty
Baruník, Jozef ; Krištoufek, Ladislav
We show how the sampling properties of Hurst exponent methods of estimation change with the presence of heavy tails in the data.
Neuronové Sítě jako semiparametrická metoda oceňování opcí
Baruník, Jozef ; Baruníková, M.
We study the ability of artificial neural networks to price the European style call and put options on the S&P 500 index.
Waveletová analýza trhů střední evropy během krize
Vácha, Lukáš ; Baruník, Jozef
In the proposed paper we would like to test for the different reactions of the stock markets to current financial crisis. We will focus on the Central European stock markets, namely Czech, Polish, Hungarian and compare them to German and U.S. benchmark stock markets.
Aplikace teorie katastrof typu CUSP na akciove trhy USA
Baruník, Jozef ; Vošvrda, Miloslav
The CUSP catastrophe model explains the crash of stock exchanges much better than alternative linear and logistic models. On the data U.S. staock markets we demonstrate that the crash of October 19, 1987 may be better explained by cusp catastropohe theory, which is not true for the crash of Sept.11, 2001
Stochastic Cusp Catastrophe Application to Stock Market Crashes Modeling
Baruník, Jozef ; Vošvrda, Miloslav
The paper is one of the first attempts to fit the cusp catastrophe theory to stock market data.
Smart Predictors in the Heterogeneous Agent Model
Vácha, Lukáš ; Baruník, Jozef ; Vošvrda, Miloslav
In this paper we extended the original model of heterogeneous agent model by introducting smart traders concept.
Sentiment Patterns in the Heterogeneous Agent Model
Vácha, Lukáš ; Baruník, Jozef ; Vošvrda, Miloslav
In this paper we extended the original model of heterogeneous agent model by introducting smart traders and changes in the agents sentiment to the model.

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