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Are financial returns and volatility multifractal at all?
Sedlaříková, Jana ; Krištoufek, Ladislav (advisor) ; Kraicová, Lucie (referee)
Over the last decades, multifractality has become a downright stylized fact in financial markets. However, its presence has not been adequately statistically proved. The main aim of this thesis is to contribute to the discussion by an ex- tensive statistical analysis of the problem. We investigate returns and volatility of the collection of the four stock indices employing the three popular methods: the GHE, the MF-DFA, and the MF-DMA method. By comparing the results of the original series to those for simulated monofractal series, we conclude that stock market returns as well as volatility exhibit a multifractal nature. Additionally, in order to understand the origin of underlying multifractality, we study vari- ous surrogate series. We found that a fat-tailed distribution significantly affects multifractality. On the other, we were not able to confirm the impact of time correlations as the results strongly depend on the applied model. JEL Classification F12, G02, G10, C12, C22, C49, C58 Keywords econophysics, multifractality, financial markets, Hurst exponent Author's e-mail jana.sedlarikova@gmail.com Supervisor's e-mail kristoufek@ies-prague.org
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Income Elasticity of Money Demand: A Meta-Analysis
Sedlaříková, Jana ; Havránek, Tomáš (advisor) ; Šopov, Boril (referee)
The income elasticity of money demand represents an important economic variable which affects money demand function. Precise evaluation of money demand is important for central banking and for determining the transmission mechanism. Nevertheless, there is no general agreement on the exact structure of the function of money demand and income elasticity values neither in theoretical nor practical context. Many different economic theories concerning this field were developed by various economists during the 20th century. There was also a large amount of empirical research whose goal was to estimate the value of income elasticity based on real economic data. However, these studies are characterized by strong heterogeneity of the respective results. The method of meta-analysis is considered to be an effective statistical instrument that allows systematic evaluation of these inconsistent estimates. This method was applied to the dataset consisting of 985 empirical estimates from more than 70 primary studies. The publication selection bias was detected only in the case of using broad monetary aggregates. The resulting estimates adjusted for publication bias range from 0.784 for narrow monetary aggregates to 0.93 for the broadly defined money. In addition, meta- regression analysis revealed correlation...
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