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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.
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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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Financial performance of credit unions in the Czech Republic
Kuc, Matěj ; Teplý, Petr (advisor) ; Džmuráňová, Hana (referee)
This thesis is interested in relative performance of highly criticized Czech credit unions. Theoretical part comments on their historical development, makes international comparison and shows possible development of legislation. We created two unique datasets to assess financial performance of Czech credit unions in subsequent empirical part. The first one contains Czech credit unions' and commercial banks' data. The second one is established to make a comparison of Czech credit unions with cooperative banks operating elsewhere in the EU. Both are based on annual data between 2007 and 2012 period. System GMM method is employed as main instrument of our empirical analysis and alternative panel data methods are used as supplementary techniques. We focused our analysis on comparison of relative profitability and stability measures of Czech credit unions. The results revealed their poor performance in the given time period. According to our estimates, they resembled rather small commercial banks than cooperative ones. The negative relationship between Czech credit unions' stability measure (Z-score) and their asset size is especially striking. Moreover, Z- score of Czech credit unions decreased sharply in 2012. Such development was observed neither in case of Czech commercial banks nor in other...
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Portfolio diversification on P2P loan markets
Polák, Petr ; Skuhrovec, Jiří (advisor) ; Džmuráňová, Hana (referee)
This thesis presents ways how investors can construct optimal portfolios on on-line peer-to-peer lending platforms. Thesis uses standard portfolio theory and unique dataset from Lending Club platform of over 886 thousand loans issued since 2008 till the end of 2015. Firstly, this thesis shows that there is a non- zero covariance between loans from different credit grades and it is necessary to include it in portfolio management optimization. Secondly, the thesis with the help of a logistic regression identifies loan default determinants. Using the default predictions, the portfolio performance can be improved significantly. Thirdly, the thesis simulates diversification benefits stemming from investing into multiple loans. Powered by TCPDF (www.tcpdf.org)
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Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic
Džmuráňová, Hana ; Tůma, Zdeněk (advisor) ; Tripe, David (referee) ; Witzany, Jiří (referee) ; Kotlán, Viktor (referee)
Univerzita Karlova v Praze Fakulta sociálních věd Institut ekonomických studií Název disertační práce/ Dissertation title Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic Anglický překlad / Title in English Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic Autor/ka/ Author Mag. Hana Džmuráňová Rok zpracování/ Year 2021 Školitel / Advisor Doc. Ing. Zdeněk Tůma CSc. Počet stran / No. of pages 197 Abstract in English The thesis Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic deals with the management of interest rate risk and liquidity risk stemming from the core banking system purpose - the maturity transformation. Across five articles, we provide comprehensive theoretical description, regulatory background, and develop models for embedded behavioural options of client products such as non-maturity deposits, with special focus on savings accounts in the Czech Republic in one of our case studies, or loans with prepayment option. We apply our models on the major Czech and Slovak banks and we calculate the exposure of those banks to interest rate risk in terms of regulatory guidelines. We derive that all banks in our analysis are positioned to benefit when interest rates increase as demand deposits like current accounts are...
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Effect of Quantitative Easing on the US Stock Market During the COVID-19 Pandemic
Michalík, Ondřej ; Čech, František (advisor) ; Džmuráňová, Hana (referee)
This work examines the effects of quantitative easing on different stock in- dices in the form of S&P 500, NASDAQ-100, DJIA and Russell 2000. The effects are analysed through the implementation of standard statistical methods and ARMA-GJR-GARCH models. Weekly data on total assets held by Fed and announcement dates are employed as variables representing quantitative easing. A strong positive relationship between quantitative easing and the stock market indices was found, with the most significant effect on the Russell 2000. The in- clusion of quantitative easing in our ARMA equation visually seemed to explain some of the market's volatility after the Fed's announcements of quantitative easing, but statistical methods did not confirm this hypothesis.
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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.
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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...
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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.
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