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Negative interest rates in banking
Mojžišová, Dominika ; Teplý, Petr (advisor) ; Staniek, Dušan (referee)
This bachelor thesis deals with the usage of negative interest rates as a part of the monetary policy of central banks. The theoretical analysis/part describes banking risks and further deals with the risk measurement and risk management, the interest rates in central banking, the interbank rates and the PRIBOR rate quotation. The empirical analysis/part concerns the situation of some selected European countries, where the central banks have implemented negative interest rates. The next chapter explains the situation in the Czech Republic and the impact of interest rate reduction.
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Analysis of banking assets and liabilities of households in the Czech Republic
Rektorysová, Natália ; Teplý, Petr (advisor) ; Fučík, Vojtěch (referee)
Czech household, an important factor of the Czech banking sector, is considered to be a subject with a conservative approach in dealing with its financial funds. This bachelor thesis deals with a demonstrability of this status, acceleration of demands for loans and with analysis of banking assets and liabilities of households and their changes in time. The theoretical part describes key concepts and specifies basic framework needed for a further topic elaboration; it also specifies two key hypotheses: the first one is aimed at a household balance in time, the second one is focused on growth rate in relation to pensioners disposable income. The empiric part of the thesis is focused on loan development trends which represent household liabilities and deposits as household assets, accentuating the changes based on legislative steps, unexpected events on domestic market or world financial markets events. The end of the practical chapter summarises development tendencies and their substantiation. The conclusion summarises a contribution of the thesis, declares Czech household conservativism demonstrability and confirms the hypothesis of Czech household debt paradox.
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Visegrad Group: Transition of banking sector from "single bank" system to the current global commercial banking system
Masarikova, Miroslava ; Teplý, Petr (advisor) ; Svoboda, Karel (referee) ; Ji, Yuemei (referee)
The aim of this dissertation is to provide a detailed quantitative and qualitative assessment of the banking system currently in place in the Visegrad countries, as well as its transition from the Soviet system to a capitalist market-oriented system. The empirical part of this study focuses on estimating the stability of the banking system, the impact of regulations and supervision on the stability of this system the performance and effectiveness (productivity) of the system, and the impact of banking sector performance on economic growth. Two different methods are used for the data analysis: panel data regression with random effect model and traditional ratio analysis based on DuPont formula and other financial ratios, which were constructed using historical data taken from Bank Scope, together with random-effects GLS regression. The results suggest that, as measured by z-score, Slovakia had the most stable banking sector in most years, followed by Poland, Hungary, and the Czech Republic. Additionally, according to the regression analysis, the imposition of strict requirements for banks applying for licenses in Visegrad countries has led to greater banking system stability, while prohibiting additional banking activities-such as real estate, insurance, securities, or other non-financial...
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Performance Analysis of Credit Scoring Models on Lending Club Data
Polena, Michal ; Teplý, Petr (advisor) ; Pečená, Magda (referee)
In our master thesis, we compare ten classification algorithms for credit scor- ing. Their prediction performances are measured by six different classification performance measurements. We use a unique P2P lending data set with more than 200,000 records and 23 variables for our classifiers comparison. This data set comes from Lending Club, the biggest P2P lending platform in the United States. Logistic regression, Artificial neural network, and Linear discriminant analysis are the best three classifiers according to our results. Random forest ranks as the fifth best classifier. On the other hand, Classification and regression tree and k-Nearest neighbors are ranked as the worse classifiers in our ranking. 1
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Market Reaction to Earnings Announcements and (In)Efficiency of Financial Markets: Cross-sector Analysis
Prucek, Pavel ; Kočenda, Evžen (advisor) ; Teplý, Petr (referee)
Using the sample of three largest stocks from seven main market sectors in the US, the thesis examines the effect of information content of earnings announce ments on market reaction across sectors. Our findings prove the asymmetry of market reaction to different earnings surprise categories with negative-surprise reaction being the most profound. The financial markets tend to be less ef ficient in response to negative earnings surprises. Leakage of information is not present suggesting that insider trading is well-mitigated on the US capital markets. Furthermore, we investigate the market reaction to earnings surprises in different sectors separately and find that Consumer Staples and IT sector tend to be the most sensitive, on the contrary Telecommunication and Energy sector tend to be the least sensitive. G14; G15; G30JEL Classification Keywords Earnings announcement; Market reaction; Mar ket efficiency; Cross-sector analysis; Corpo rate disclosure; Insider trading; Post-earnings- announcement drift A u th o r's e-m ail p a v e l.prucekSgm ail. com S u p erv iso r's e-m ail kocenda@f s v . c u n i. cz
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Beyond Global Imbalances: Gross capital flows and the role of Shadow Banking
Václavíček, Tomáš ; Teplý, Petr (advisor) ; Jakubík, Petr (referee)
This study provides an empirical analysis of Shadow banking as a factor influencing cross- border financial flows. It builds upon emerging literature on Shadow banking and empirical literature on global imbalances and global financial flows. The aim of the thesis is to test three hypotheses, which relate global financial flows to lending, change in cross-border bank liabilities, and shadow banking, respectively. The second and third hypotheses are tested on gross capital flows, which, in contrast to net flows, better reflect financing activities. The results suggest that Shadow banking activities are related to higher gross capital flows in periods, when this sector is growing. These flows, however, tend to dry up when Shadow banking activities level off or decline. Among other important factors is the output growth differential and global risk aversion. JEL Classification E44, G20, G23, F32, F34, F21, F65 Keywords Shadow Banking, Global Imbalances, Capital Flows, Financial Stability Author's e-mail tomas.vaclavicek@gmail.com Supervisor's e-mail petr.teply@fsv.cuni.cz
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An alternative view on Czech banking sector's riskiness
Kubeš, Jan ; Teplý, Petr (advisor) ; Troch, Tomáš (referee)
Riskiness of Czech banking sector is subject of interest of this thesis. Since the beginning of 21st century, there is moderately growing number of banks and their overall profitability expressed in absolute values is increasing. Ratio of non-performing loans to total loans is also displaying optimistic values. Four indicators of riskiness are studied through data about Czech banks from 2008 to 2015. These indicators are: z-score, leverage ratio, RWA density and ratio of non- performing loans to total loans. Rather low correlations among these indicators are found, the highest correlation (0,670) is between leverage ratio and RWA density, on the other hand the lowest one (0,093) is between z-score and NPL ratio. In aggregate form are three of the indicators displaying stable trend to lower riskiness in 2008-2015 period, the same can be stated about NPL ratio in 2010-2015 period. Then is regression analysis employing fixed effects estimation and random effects estimation used, with the aim to identify determinants of the four indicators. Size of banks expressed in logarithm of total assets is significant in only one model with RWA density on the place of dependent variable. This significance is at 10 per cent level and corresponding coefficient is negative. In contrary, growth of assets and dummy...
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Assessment of cyber risk in the banking industry
Spišiak, Michal ; Teplý, Petr (advisor) ; Maršál, Aleš (referee)
There has never been more need to discuss cybersecurity related issues. We live in a world where criminals do not have to physically visit a bank to steal money from it, where elections results can be influenced by data breached from personal email accounts, where to win a war a country needs skilled cybersecurity specialists rather than powerful weapons and where patients do not get recommended treatment because a hospital is under a cyberattack. The financial industry as a backbone of any modern economy requires adequate protection against cybercrime. We discuss major cyber threats for financial institutions as well as possible protection methods. After that we introduce Basel II Framework for operational risk assessment and we evaluate data breach risk in an empirical analysis. 1
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Multi-agent Network Models of Financial Stability
Klinger, Tomáš ; Teplý, Petr (advisor) ; Tripe, David (referee) ; Stavárek, Daniel (referee) ; Jakubík, Petr (referee)
The thesis focuses on banking regulation and on the nexus between financial sovereign crises. After illustrating the main mechanisms on the recent financial crisis, we construct several multi-agent network models of a financial system for testing its stability under different parameters. In the first part, we focus on the rationale for banking regulation and we describe its development including the recently introduced Basel III measures. The main conclusion of this part is that regulation is to a large extent influenced by the banks and it does not always secure financial system stability. In the second part, we build an agent-based model which enables us to simulate the impacts of various types of negative shocks given various settings of the banking system and the regulatory environment, including the capital and liquidity measures. Our simulations show firstly that sufficient capital buffers are crucial for systemic stability, secondly that the discretionary measures have little effect once a crisis breaks out and thirdly that liquidity measures are a relevant regulatory tool. In the third part, the model is extended so that it allows for testing effects of state support on systemic stability is tested with various parameter settings in Monte Carlo simulations and for testing of feedback loops in which...
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Innovative Financial Instruments: An alternative to traditional grants
Jelínek, Tomáš ; Teplý, Petr (advisor) ; Víšek, Jan Ámos (referee)
Innovative financial instruments in the Czech Republic and their hypothetical use in the field of energy efficiency are analysed and assessed in this thesis. We address lim- ited awareness about multiple benefits of energy efficiency improvements and also emerging innovative financial instruments that are promoted by the European Com- mission as a way to multiply impacts of limited public budgets. Then we identify a suitable segment, Czech residential housing stock and public support of insulation, and compare several forms of possible public support in this field. As the main driver of space heating costs, we predict the future development of heat prices, and assess po- tential energy savings resulting from renovations. Finally, we assess and also simulate the potential of such an initiative and identify four suitable settings of the innovative financial instrument for a majority of stakeholders. Our findings support an idea that this innovative financial instrument offers a valuable alternative to traditional grants. It also suggests that such an initiative can be interesting for a private sector as well as a public sector, with benefits to public budgets, equity investors, households and many other stakeholders. Moreover, this initiative can be sustainable in the long run. JEL Classification G23,...
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