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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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Connectedness of high-frequency data
Petras, Petr ; Křehlík, Tomáš (advisor) ; Maršál, Aleš (referee)
This work combines discrete and continuous methods while modeling connect- edness of financial tick data. As discrete method we are using vector autore- gression. For continuous domain Hawkes process is used, which is special case of point process. We found out that financial assets are connected in non- symmetrical fashion. By using two methodologies we were able to model bet- ter how are the series connected. We confirmed existence of price leader in our three stock portfolio and modeled connectedness of jumps between stocks. As conclusion we state that both methods yields important results about price nature on the market and should be used together or at least with awareness of second approach. JEL Classification C32, G11, G14 Keywords Vector Autoregression, Hawkes process, High- frequency analysis, Connectedness Author's e-mail petr.petras@email.cz Supervisor's e-mail krehlik@utia.cas.cz
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Momentum in Stock Returns: Analysis for European Countries
Drmotová, Kristýna ; Kukačka, Jiří (advisor) ; Maršál, Aleš (referee)
This thesis investigates one of the most pervasive anomalies in the behaviour of stock returns, the momentum. We analyse whether there is momentum in European stock returns that would generate profitable investment strategies. First, we compute the average monthly returns on strategies built in accordance with the existing literature. Next, we compare returns on momentum strate- gies between markets with different levels of capitalization and development. Further, we test whether these returns can be explained as the compensation for risk exposures through the Capital Asset Pricing Model. We find that even though the underlying risk has perceptible predictive power for stock re- turns, there still remains a substantial part of abnormal returns unexplained by this model. Therefore, we extend it with additional explanatory variables that might have a predictive power for stock returns according to the Fama & French (1993) three-factor model and Fama & French (2015) five-factor model. We find that stocks that performed best over the short-term past tend to con- tinue to outperform other stocks and stocks that performed worst tend to have one of the lowest returns in subsequent months. We find that strategies based on buying past winners yield statistically significant positive abnormal returns. Furthermore,...
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Risk model for real estate assets: Analysis and development
Koubková, Klára ; Parrák, Radovan (advisor) ; Maršál, Aleš (referee)
The main aim of this thesis is to design a new and more advanced methodology for valuation of real estate portfolios and incorporate uncertainty into the valuation process. From the comprehensive real estate literature we identified the main value drivers whose treatment is often neglected in the traditional appraisal methodology as they are used as a single point estimates. The identified parameters are the discount rate, inflation, prime rent, occupancy and market capital value changes. In contrast with the traditional approach, we calibrate distributions of these parameters from historical data and allow their variation through the Monte Carlo simulation. This enables us to model their impact on the market value of our real estate portfolio, which comprises of A-class office buildings with detailed property level data including their lease structure. The methodology presented here builds on the widely used DCF approach, which is augmented by the risk parameters and through the thousands of iterations of the Monte Carlo simulation we arrive to a distribution of all potential values of the portfolio. Finally, the knowledge of relevant risk factors and their impact on returns of their property portfolio then provides investors with better and more reliable foundations for their decisions and...
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DSGE modeling of business cycle properties of Czech labor market
Sentivany, Daniel ; Maršál, Aleš (advisor) ; Rečka, Lukáš (referee)
The goal of this thesis is to develop a DSGE model that accounts for the key business cycle properties of the Czech labor market. We used standard New Keynesian framework for monetary policy analysis and incorporated an elaborated labor market setup with equi- librium wage derived via an alternating offer bargaining protocol originally proposed by Rubinstein (1982) and follow the work of Christiano, Eichenbaum and Trabandt (2013) in the following steps. Firstly, we calibrated the closed economy model according to values suited for the Czech economy and found that the model can not only account for higher volatility of the real wage and unemployment, but can also explain the contemporaneous rise of both wages and employment after an expansionary shock in the economy, so called Shimer puzzle (Shimer, 2005a). Secondly, we demonstrated that the alternating offer bar- gaining sharing rule outperforms the Nash sharing rule under assumption of using the hiring costs in our framework (more so while using search costs) and therefore is better suited for use in larger scale models. Thirdly, we concluded that after estimating the labor market parameters using the Czech data, our model disproved the relatively low values linked to the probabilities of unsuccessful bargaining and job destruction. JEL...
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Rare Disasters and Asset Pricing Puzzles
Kotek, Martin ; Maršál, Aleš (advisor) ; Korbel, Václav (referee)
The impact of rare disasters on equity premium and term premium in a New Keynesian DSGE model is explored in the thesis. Andreasen's (2012) model with Epstein-Zin preferences, bonds and a rare disaster shock in total factor productivity process is extended by a variable capital stock and an equity-type asset. We find that the variable capital significantly changes behavior of the model, capital depreciation must be substantially increased to counter the effect of variable capital and stochastic mean of inflation increases. The model calibrated to the US economy and a high risk aversion generates 10-year term premium of 90 basis points, rare disasters increase the premium only by 3 basis points. The equity premium is 163 basis points and rare disasters increase it also only by 3 basis points. The model with a low coefficient of relative risk aversion of 5.5 generates negative risk premia. Rare disasters increase the risk premia by mere 4 basis points in comparison to a model with i.i.d. shocks. Powered by TCPDF (www.tcpdf.org)
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Comparison of double auction bidding strategies for automated trading agents
Vach, Daniel ; Maršál, Aleš (advisor) ; Burda, Martin (referee)
Comparison of double auction bidding strategies for automated trading agents Bc. Daniel Vach Absctract In this work, ZIP, GDX, and AA automated bidding strategies are compared in symmetric agent-agent experiments with a variable composition of agent population. ZIPOJA, a novel strategy based on ZIP with Oja's rule extension for updating its optimal price, is introduced. Then it is showed that ZIPOJA underperforms in competition against other strategies and that it underperforms even against the original ZIP. Dominance of AA over GDX and ZIP is questioned and it is showed that it is not robust to composition changes of agent population and that the experimental setup strongly affects the results. GDX is a dominant strategy over AA in many experiments in this work in contrast to the previous literature. Some mixed strategy Nash equilibria are found and their basins of attraction are shown by dynamic analysis.
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Impacts of the Euro Adoption in the Czech Republic
Svačina, David ; Maršál, Aleš (advisor) ; Malovaná, Simona (referee)
DSGE models are as structural models capable of estimating what would have happened if some part of economy or shocks to it had been different. We consider three such differences in the recent Czech history: no financial shocks during the crisis in 2008-2009; eurozone membership during the crisis in 2008-2009; and no foreign exchange interventions of the Czech National Bank in November 2013. For this purpose, we employ a small open economy DSGE model with financial frictions and estimate it with Bayesian inference. Our results show that impact of financial shocks on GDP growth was negligible. Further, eurozone membership would have made crisis more severe; GDP growth in 2009Q1 would have been -6% instead of -3% and economy would have been in deflation for the five consecutive periods. Difference is explained by strong depreciation of exchange rate during crisis that would not have occurred with the fixed exchange rate. Lastly, the Czech National Banks's foreign exchange interventions increased GDP growth by as much as 0.8 percentage point and saved economy from deflation in all following quarters. They worked through depreciation of exchange rate and consequent improvement in trade balance and increase in price of imported goods. Powered by TCPDF (www.tcpdf.org)
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Family House Market in Europe during the Recent Crisis
Béreš, Adam ; Vacek, Pavel (advisor) ; Maršál, Aleš (referee)
Univerzita Karlova v Praze Fakulta sociálních věd Institut ekonomických studií Název DP v jazyce práce Family House Market in Europe during the Recent Crisis Podnázev práce Překlad názvu DP v angličtině nebo češtině Trh rodinných domov v Európe počas súčasnej krízy. Typ práce diplomová práce Autor/ka: Adam Béreš Rok zpracování 2015 Vedoucí práce PhDr. Pavel Vacek Ph.D. Abstrakt anglicky This thesis analyzes family house market in seven European countries: the Czech Republic, Austria, Belgium, Denmark, Germany, Finland and Slovakia, together with two cities: Bratislava and Prague. The main goal is to compare family house price determinants in transitional countries with developed ones and capture possible effects of the recent economic crisis. In the first part, panel data models are employed to determine price determinants and any housing bubbles. Real GDP growth rate as a proxy for households' income, together with housing loan interest rate proved to be significant price determinant for both groups. Housing market in transitional countries is influenced only by demand side factors like unemployment. Housing market in developed countries is led by demand and supply side factors represented by labor cost index. In the second part of the analysis, VAR model is employed, for each country separately, to detect...
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The Effectiveness of Unconventional Monetary Policy Tools at the Zero Lower Bound: A DSGE Approach
Malovaná, Simona ; Holub, Tomáš (advisor) ; Maršál, Aleš (referee)
The central bank is not able to further ease monetary conditions once it ex- hausts the space for managing short-term policy rate. Then it has to turn its attention to unconventional measures. The thesis provides a discussion about the suitability of different unconventional policy tools in the Czech situation while the foreign exchange (FX) interventions have proven to be the most appropriate choice. A New Keynesian small open economy DSGE model estimated for the Czech Republic is enhanced to model the FX interventions and to compare dif- ferent monetary policy rules at the zero lower bound (ZLB). The thesis provides three main findings. First, the volatility of the real and nominal macroeconomic variables is magnified in the response to the domestic demand shock, the for- eign financial shock and the foreign inflation shock. Second, the volatility of prices decreases significantly if the central bank adopts price-level or exchange rate targeting rule. Third, intervening to fix the nominal exchange rate on some particular target or to correct a misalignment of the real exchange rate from its fundamentals serves as a good stabilizer of prices while intervening to smooth the nominal exchange rate movements increases the overall macroeconomic volatility at the ZLB. 1
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