National Repository of Grey Literature 182 records found  beginprevious173 - 182  jump to record: Search took 0.00 seconds. 
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.
Wavelet Neural Networks Prediction of Central European Stock Markets
Vácha, Lukáš ; Baruník, Jozef
In this paper we apply neural network with denoising layer method for forecasting of Central European Stock Exchanges, namely Prague, Budapest and Warsaw.

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