National Repository of Grey Literature 18 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
The Resolution Fund: Is behaviour of the contributing institutions affected by the applied methodology?
Hykl, Daniel ; Pečená, Magda (advisor) ; Džmuráňová, Hana (referee)
Daniel Hykl Bachelor Thesis The Resolution Fund: Is behaviour of the contributing institutions affected by the applied methodology? Abstract The thesis provides theoretical analysis of the Resolution Fund contributions determination policy - the contributions are calculated based on end of year data - and its effects on banks and the financial sector. Several theoretical examples are used to demonstrate the problem of the top-down approach to distribution of the sectoral contributions on the particular institutions. A hypothesis is drawn - do the banks lower their reported liabilities as of end of the year to achieve decreased contributions? Total liabilities of the 7 largest banks in the Czech Republic are analysed and theoretical end of year developments of total liabilities of the banks under no optimisation condition are calculated. Basic annual contributions of the banks are estimated and compared to implied contributions calculated from the theoretical liabilities.
Examining the relationships among cryptocurrencies using Google Trends
Heller, Michael ; Krištoufek, Ladislav (advisor) ; Džmuráňová, Hana (referee)
The topic of our thesis is the examination of the relationships among cryptocur- rencies using Google Trends. In our thesis, we concentrated on four cryptocur- rencies, namely: Bitcoin, Litecoin, Ethereum Classic and Ethereum. We obtained the data of daily opening prices, daily trading volumes and daily Google Trends queries in order to examine the relationships among the four cryptocurrencies. Applying the Vector autoregression model and Vector error correction model, we constructed four models. The first model contains only four time series of daily prices of cryptocurrencies. The second model is the first model enriched by the respective four time series of Google Trends queries. The third model contains the four time series of daily trading volumes of the four cryptocurrencies. The fourth model is the third model enriched by the four time series of Google Trends queries of respective cryptocurrencies. Then we applied the Impulse response analysis and the Forecast error variance decomposition in order to find some relationships among the variables. We found that there is some correlation among prices, volumes and Google Trends queries containing the names of the four cryptocurrencies. According to our results acquired by the Forecast error variance decomposition, in all our models, Bitcoin has the...
Revenue Management around Seasoned Equity Offerings
Habětínek, Jan ; Novák, Jiří (advisor) ; Džmuráňová, Hana (referee)
This bachelor thesis enhances existing research about unusual operating performance of firms that are subject to Seasoned Equity Offerings. It uses modern tools of estimation of earnings management by discretionary revenues measured as portion of account receivables that cannot be explained by revenues and credit policy. Therefore, it helps to discriminate between two existing explanations of the unusual operating performance, market timing and earnings management, with greater precision. Apart of finding evidence in favour of the earnings management theory, the results additionally, in contrast to previous research, suggest downward-oriented adjustment of revenues in the year before SEO and therefore provide evidence in favour of newly proposed "revenue buffer" hypothesis. Implicitly, combined with the past results, also a shift from dominance of expense management before SEO to dominance of revenue management at the time of SEO is suggested.
Building Societies in Low Interest Rate Environment
Hanzlík, Petr ; Džmuráňová, Hana (advisor) ; Baniar, Matúš (referee)
The aim of this thesis is to analyse the impact of low interest rate environment in the Czech Republic in recent years on the sector of building societies as a specific segment of the financial market. First part of the thesis consists of description of main characteristics of building savings and building societies, e.g. their historical development, with special focus on main types of risk the building societies face. In the second part the impact of changing market interest rate on outstanding volumes of deposits in building societies is analysed. The analysis is conducted through simple time series models estimated by OLS. Final part includes comparison of demand for building savings loans with demand for mortgages as well as consideration of the development of profitability of the sector of building societies in recent years. Powered by TCPDF (
Impact of the Basel III Liquidity Rules on EU Banks
Klímová, Dana ; Šopov, Boril (advisor) ; Džmuráňová, Hana (referee)
New liquidity rules introduced under the Basel III framework define the Net Stable Funding Ratio (NSFR) that requires banks to possess an adequate long-term liquidity. The NSFR will enter into force on January 1, 2018 and banks are concerned that this regulation will lower their profitability. In this thesis the Basel III liquidity rules are analysed. The research seeks to define characteristics and triggers of the NSFR, using a sample of 500 EU banks. We find that smaller banks (by asset size) are more likely to fulfil the NSFR requirements, so are the banks with higher non-interest share of income and lower capital ratio, among other characteristics. Further, the NSFR's impact on the banks' performance is assessed. It is found that a higher NSFR negatively impacts the return on average equity, although it does not seem to translate into lower returns on average assets nor net interest margin. JEL Classification E58, G21, G28, G32 Keywords NSFR, Basel III, liquidity, banks, EU, profitability, capital rules, regulation Author's e-mail Supervisor's e-mail
The Impact of Macroeconomic News on the Price of Financial Assets
Říha, Jakub ; Moravcová, Michala (advisor) ; Džmuráňová, Hana (referee)
This thesis investigates the effect of Czech macroeconomic news announcements and Czech National Bank (CNB) communication on the price of financial assets and its volatility. As the financial assets we selected the EUR/CZK and USD/CZK exchange rates and also the Prague stock PX Index. To analyze the aforesaid effect we employed the GARCH (1,1) and EGARCH (1,1) models, each with Normal and Student's t error distribution. The main results were that the CNB's communication indeed have significant effect on the price of all three examined assets and surprisingly also tend to increase their volatility. Also the macroeconomic announcements significantly influence examined assets however significant macroeconomic indicators differ for each asset. The most influencing ones are: CPI, 1YPRIBOR and the unemployment rate. Another finding of our research was that volatility of examined time series data shows the characteristics of leverage effect, volatility clustering and persistence. Powered by TCPDF (
Non-interest income management of banks in a global low interest rate environment
Bečvaříková, Vendula ; Teplý, Petr (advisor) ; Džmuráňová, Hana (referee)
The significant change of the banking business models is easily observable in the current banking industry. Banks are forced to find additional source of income besides the one from traditional activities and thus the non-interest income is growing in importance. One of the reasons behind is that the banks need to recover from severe impacts of financial crisis in 2008-2010 and they want to adapt to the environment of low interest rates which has been occurring in the market since 2011. In this thesis, we analyze the presence of direct effect of non-interest income (proxied by fee income) on banks' performance using data of 220 commercial and investment banks from U.S. and EU-28 countries over the period of 2007-2014. Using System Generalized Methods of Moment, the direct effect was not detected. However, we conclude that economy with low inflation rate and growing gross domestic product improves the banks' profitability, as well as high capitalization and operating and credit quality efficiency. Furthermore, we found out that the volatility of the non-interest income has increased earlier than the crisis in 2008-2010 and it has been achieving almost continuous level till 2011 when it started decreasing again. Thus the hypothesis about relationship between volatility and financial crisis was rejected.
Mandatory disclosure
Hrycej, Martin ; Gregor, Martin (advisor) ; Džmuráňová, Hana (referee)
The bachelor thesis firstly introduces the problems of mandatory disclosure and describes different attitudes to it. Following is the essential part of the work containing the definition and specification of the studied models of monopoly and duopoly. These models are further analysed and solved using the game theory tools and microeconomics methods for profit optimization. Subsequently the numerical results are evaluated and presented. The obtained results are suggesting whether voluntary or mandatory disclosure regime is more profitable for whom under different conditions - the models parameters in other words. Finally the discussion of the results, the results' relevance and interpretations in the context of related literature are presented. The particular numerical results are of a reasonable nature and rather fit to the literature context than not.
Trading Volume and Volatility in the US Stock Markets
Juchelka, Tomáš ; Šopov, Boril (advisor) ; Džmuráňová, Hana (referee)
This thesis investigates the relationship between trading volume and stock re- turn volatility using GARCH model in the framework of Mixture of Distri- bution Hypothesis. Analysis is carried out for five well-known stocks selected from the American S&P500 stock index. Our approach was to extend the vari- ance equation of the well known GARCH model on the trading volume which was split into three explanatory variables capturing different effects of volume on volatility. Apart from the relationship itself, we examined the changes of GARCH and ARCH parameters after the inclusion of volume, implicitly testing the Mixture of Distribution Hypothesis. Interesting results and implications for future research were identified. Firstly, we highlight the appropriateness of the volume decomposition into expected and unexpected volume, where all the vol- ume parameters turned out to be statistically significant. General observation was that the increase of both expected and unexpected trading volume leads to the increase of volatility. On the other hand, negative volume shocks tend to decrease it. Eventhough we performed the analysis with lagged and also contemporaneous volume, we were not able to confirm that the inclusion of volume leads to insignificance of the ARCH and GARCH parameters, thus not confirming the...

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