Vynikající diplomové práce LS 2017
Dovolujeme si oznámit, že níže uvedené diplomové práce obhájené v LS 2017 obdržely pochvalu ředitele IES FSV UK za vynikající diplomovou práci:
- Pavel Žofák: The Role of Income Tax Progressivity in GDP Smoothening: Empirical Analysis
(Advisor: Jaromír Baxa)
This thesis studies the relationship of income tax progressivity and output volatility. Using a dataset of 31 OECD countries and Bayesian model averaging (BMA) approach to address the model uncertainty issue, the author finds positive evidence that higher income tax progressivity leads to lower output volatility.
- Martin Špolc: State capture as market distortion: Effect of political connections in the Czech Republic
(Advisor: Pavel Vacek)
The thesis is the first empirical analysis of personal political connections to government ministers in the Czech Republic. The results of this analysis show that connected firms significantly underperform their similar rivals, but slightly improve their performance over the time of connection to minister in office and that connected firms gain significantly more subsidies which confirms subsidy allocation as a channel of rent extraction.
- Barbora Kolomazníková: Interaction between Macroprudential and Monetary Policies, and Bank Runs
(Advisor: Michal Hlaváček)
The thesis focuses on the interaction between macroprudential and monetary policies in the presence of bank runs. In particular, it is examined whether the two policies should be conducted separately or jointly, and whether the occurence of a bank run affects the result. Furthermore, it is studied how a bank run impacts the efficiency of the two policies. The baseline results suggest that cooperation between the two policies is less efficient than when they are determined separately.
- Tereza Malířová: Measurement of volatility spillovers and asymmetric connectedness on commodity and equity markets
(Advisor: Jozef Baruník)
The thesis focuses on volatility spillovers among commodity and equity markets by employing a recently developed approach based on realized measures and forecast error variance decomposition invariant to the variable ordering from vector-autoregressions This enables us to measure total, directional and netvolatility spillovers as well as the asymmetry of responses to positive and negative shocks. We exploit high-frequency data on the prices of Crude oil, Corn, Cotton and Gold futures, and the S&P 500 Index and use a sample which spans from January 2002 to December 2015 to cover the entire period around the global financial crisis of 2008.
Blahopřejeme autorům a děkujeme vedoucím za vynikající práci.
Autor - Mgr. Lucie Křížová M.A.