National Repository of Grey Literature 5 records found  Search took 0.00 seconds. 
Visualization of changes in correlations of stock returns during and after financial crisis
Zbožínek, David ; Krištoufek, Ladislav (advisor) ; Hauzr, Marek (referee)
This thesis aims to describe structural changes in US stock markets during and after global financial crisis. We utilize correlation coefficients of logar- ithmic differences in daily closing prices to generate correlation networks. Minimal spanning tree and hierarchical tree are used to filter out less im- portant information from correlation network, and thus they enable us to obtain unique taxonomy of stocks. Daily closing prices from 8 June 2007 to 31 December 2010 for 73 constituents of market index S&P 100 are di- vided into nine 100 trading-days-long time intervals. The effect of market shock after the fall of Lehman Brothers on 15 September 2008 is investigated. Minimal spanning tree significantly shrinks in the period from 15 September 2008 to 7 January 2009 and afterwards, it gradually reverts back to its pre- crisis state. We also describe clustering patterns of stocks and their changes during the crisis. Clusters of companies from financial, energy, and utilit- ies sectors are recognized in most time windows with only slight variations. In the time window after 15 September 2008, several topological shifts are identified. Additionally, companies from industrials sector are found to form significantly larger clusters in time windows following 8 January 2009.
The impact of ECB communication on selected financial markets in eurozone
Luková, Veronika ; Moravcová, Michala (advisor) ; Hauzr, Marek (referee)
This thesis investigates the impact of the European central bank communication and macroeconomic news announcements on the price and volatility of selected financial markets. We examine the stock markets of Germany and countries of PIGS (Portugal, Italy, Greece, Spain), we selected the stock indices as the financial assets, we employed the GARCH (1,1) and EGARCH (1,1) models. Main result was that the communication of ECB has significant impact on the volatility of all examined stock markets. Volatilities of German and Italian stock markets are the most influenced ones. Volatility of Portugal stock market is the least influenced one. The ECB's communication affects also the level of examined stock markets except Portugal stock market. Our re­ sults also confirmed that the macroeconomic announcements have significant impact on the volatility, but they have no fundamental impact on the level of these stock markets. 1
Neural network models for conditional quantiles of financial returns and volatility
Hauzr, Marek ; Baruník, Jozef (advisor) ; Vošvrda, Miloslav (referee)
This thesis investigates forecasting performance of Quantile Regression Neural Networks in forecasting multiperiod quantiles of realized volatility and quantiles of returns. It relies on model-free measures of realized variance and its components (realized variance, median realized variance, integrated variance, jump variation and positive and negative semivariances). The data used are S&P 500 futures and WTI Crude Oil futures contracts. Resulting models of returns and volatility have good absolute performance and relative performance in comparison to the linear quantile regression models. In the case of in- sample the models estimated by Quantile Regression Neural Networks provide better estimates than linear quantile regression models and in the case of out-of-sample they are equally good.
Income Elasticity of Electricity Demand: A Meta-Analysis
Hauzr, Marek ; Havránek, Tomáš (advisor) ; Žigraiová, Diana (referee)
In this thesis we look over the previous studies on income elasticity of electricity demand and on previous meta-analysis on the topic. We outline the meta-analytical tools and we carry out the MRA itself. We show the presence of publication bias and that the elasticity's true effect is lower than commonly thought, from 8 times less than the mean estimate in short-run to 2 times less than the mean estimate in long-run. To our knowledge this thesis is the first meta-analysis on this topic that takes publication bias into account. Powered by TCPDF (

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