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Time-scale analysis of sovereign bonds market co-movement in the EU
Šmolík, Filip ; Vácha, Lukáš (advisor) ; Krištoufek, Ladislav (referee)
The thesis analyses co-movement of 10Y sovereign bond yields of 11 EU mem- bers (Greece, Spain, Portugal, Italy, France, Germany, Netherlands, Great Britain, Belgium, Sweden and Denmark) divided into the three groups (the Core of the Eurozone, the Periphery of the Eurozone, the states outside the Eurozone). In the center of attention are changes of co-movement in the crisis period, especially near the two significant dates - the fall of Lehman Brothers (15.9.2008) and the day, when increase of Greek public deficit was announced (20.10.2009). Main contribution of the thesis is usage of alternative methodol- ogy - wavelet transformation. It allows to research how co-movement changes across scales (frequencies) and through time. Wavelet coherence is used as well as wavelet bivariate and multiple correlation. The thesis brings three main findings: (1) co-movement significantly decreased in the crisis period, but the results differ in the groups, (2) co-movement significantly differs across scales, but its heterogeneity decreased in the crisis period, (3) near to the examined dates sharp and significant decrease of wavelet correlation was observable across lower scales in some states. JEL Classification C32, C49, C58, H63 Keywords Co-movement, Wavelet Transformation, Sovereign Debt Crisis, Sovereign Bond Yields,...
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Estimation of Financial Agent-Based Models
Kukačka, Jiří ; Baruník, Jozef (advisor) ; Vácha, Lukáš (referee) ; ZWINKELS, REMCO C. J. (referee) ; GERBA, EDDIE EDIN (referee)
This thesis proposes computational framework for empirical estimation of Finan- cial Agent-Based Models (FABMs) that does not rely upon restrictive theoretical assumptions. First, we develop a two-step estimation methodology for one of the his- torically first FABMs-the stochastic cusp catastrophe model. Our method al- lows us to apply catastrophe theory to stock market returns with time-varying volatility and to model stock market crashes. The methodology is empirically tested on nearly 27 years of U.S. stock market returns. We find that the U.S. stock market's downturns were more likely to be driven by the endogenous market forces during the first half of the studied period, while during the sec- ond half of the period, the exogenous forces seem to be driving the market's instability. The results suggest that the proposed methodology provides an important shift in the application of catastrophe theory to stock markets. Second, we customise a recent methodology of the Non-Parametric Simu- lated Maximum Likelihood Estimator (NPSMLE) based on kernel methods by Kristensen & Shin (2012) and elaborate its capability for FABMs estimation purposes. To start with, we apply the methodology to the most famous and widely analysed model of Brock & Hommes (1998). We extensively test finite sample properties of the...
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Time-frequency analysis of technology IPOs
Kuš, Martin ; Vácha, Lukáš (advisor) ; Seman, Vojtěch (referee)
In our work, we focus on the dynamics of the volatility and co-movement during the first year of public trading. We use the wavelet analysis to investigate the return volatility of the technology stocks an their co-movement with the market in the time-frequency space. We employ the data sampled on multiple frequencies, ranging from 1 second high-frequency to daily data. We present three main findings. First, we identify gradual decline of the return volatility on all but the shortest investment horizons. Second, we do not find a convincing evidence that the technology stocks synchronize with the rest of the market as they get mature. Third, the different nature of the synchronization with the NASDAQ and S&P 500 indices is also not confirmed. JEL Classification C22, C32, C58, G19 Keywords IPO, technology stocks, wavelet analysis Author's e-mail martin.kus@outlook.com Supervisor's e-mail vachal@utia.cas.cz
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The Impact of High Frequency Trading on Price Volatility
Vondřička, Jakub ; Vácha, Lukáš (advisor) ; Vošvrda, Miloslav (referee)
This thesis examines an impact of high frequency trading on equity market qualities. As an indicator of market quality, stock prices realized volatility is used. To estimate the high frequency trading activity, we implement a special method of identification of high frequency orders from quote data. Study of relation between high frequency trading and market qualities is incited by growing concerns about the welfare impacts of high frequency trading and connected activities. In order to test the dependence and causality between high frequency trading activity and volatility, we implement time-scale estimation techniques. Wavelet coherence is used to study localized dependence. The analysis is amended by a robustness check, using wavelet correlation. Results show inconsistent dependence at short trading horizons and regions of significant continuous dependence at trading horizons within hours. Powered by TCPDF (www.tcpdf.org)
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Monetary Transmission Mechanism: A Closer Look Inside the Black Box
Dvořák, Martin ; Vácha, Lukáš (advisor) ; Lypko, Vyacheslav (referee)
The recent economic and financial turmoil has led central banks around the world to heavily utilize unconventional monetary policy measures. Unconventional in this sense means a deflection from traditional central bank policy measures, i.e. interest rate innovations. Although these measures were widely discussed, the uniformed, coherent and comprehensive framework of such measures is still missing. The aim of this thesis is to establish the framework for possible classification of such policies together with transmission channels to the real economy. The empirical part examines the impacts of unconventional policies on real data using vector autoregression and vector error correction models. This analysis is based on monthly data period between 1999 and 2013, which is strongly affected by implementation of the unconventional policies in its second half. The last section examines the possible future of these policies as a normal instrument of central banks and describes their main challenges and shortcomings. JEL classification: C32, E40, E44, E50, E52, E58, E60 Keywords: Unconventional monetary policy, Interest rate, Decoupling principle, Balance sheet policy stratification, Quantitative easing, Channels of transmission, Vector Autoregression, Vector error correction model Author's e-mail:...
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Dissection of Bornholdt's model: examination of inner dynamics and effect of parameter change
Chrz, Štěpán ; Krištoufek, Ladislav (advisor) ; Vácha, Lukáš (referee)
Dissection of Bornholdt's model - Analysis of Inner Dynamics and Effect of Parameter Change Mgr. Štěpán Chrz Abstract In this work we thoroughly analyze Bornholdt's version of Ising model of ferro- magnetism, with emphasis on its ability to mimic some basic stylized facts of financial series. Initially, we provide a breakdown of model definition and anal- ysis of underlying dynamics. Subsequently, we examine and confirm model's ability to mimic stylized facts of financial series. To examine robustness of this ability to parameter change, we conduct simulations over a set of parameter combinations. We conclude that there is a wide set of combinations that yields acceptable simulation results. We also note that the seemingly best results are obtained at parameter values close to border of this set. 1
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Financial markets modeling - experimental and agent based approach
Štefanová, Hana ; Vácha, Lukáš (advisor) ; Korbel, Václav (referee)
Tato práce se zabývá problémem modelování finančních trhů. K modelování používáme dva přístupy: simultánní a experimentální. Nejprve představíme agentní modelování a experimentální ekonomii. Poté vysvětlíme silné a slabé stránky těchto přístupů a ukážeme jejich společný přínos v oblasti modelování finančních trhů. Aby čtenář získal komplexnější představu o celé problematice, uvedeme několik modelů používajících kombinovanou metodologii. Následně představíme model dvojité aukce, jehož autory jsou Gode a Sunder (1993). Naši práci zakončíme výsledky experimentu, který jsme sami provedli, a jehož základní myšlenkou je právě práce od Goda a Sundera.
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Time-scale analysis of sovereign bonds market co-movement in the EU
Šmolík, Filip ; Vácha, Lukáš (advisor) ; Krištoufek, Ladislav (referee)
The thesis analyses co-movement of 10Y sovereign bond yields of 11 EU mem- bers (Greece, Spain, Portugal, Italy, France, Germany, Netherlands, Great Britain, Belgium, Sweden and Denmark) divided into the three groups (the Core of the Eurozone, the Periphery of the Eurozone, the states outside the Eurozone). In the center of attention are changes of co-movement in the crisis period, especially near the two significant dates - the fall of Lehman Brothers (15.9.2008) and the day, when increase of Greek public deficit was announced (20.10.2009). Main contribution of the thesis is usage of alternative methodol- ogy - wavelet transformation. It allows to research how co-movement changes across scales (frequencies) and through time. Wavelet coherence is used as well as wavelet bivariate and multiple correlation. The thesis brings three main findings: (1) co-movement significantly decreased in the crisis period, but the results differ in the groups, (2) co-movement significantly differs across scales, but its heterogeneity decreased in the crisis period, (3) near to the examined dates sharp and significant decrease of wavelet correlation was observable across lower scales in some states. JEL Classification C32, C49, C58, H63 Keywords Co-movement, Wavelet Transformation, Sovereign Debt Crisis, Sovereign Bond Yields,...
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Transition Periods and Long Memory Property
März, Jan ; Vácha, Lukáš (advisor) ; Polák, Petr (referee)
This thesis examines the relationship between the distribution of structural breaks within a data sample and the estimated parameter of long memory. We use Monte Carlo simulations to generate data from processes with specific values of parameters. Subsequently we join the data with various shifts to mean and examine how the estimates of the parameters vary from their true values. We have discovered that the overestimate of the long memory parameter is higher when the breaks are clustered together. It further increases when the signs of the shifts are positively correlated within the clusters while negative correlation reduces the bias. Our findings enable the improvement of robustness of estimators against the presence structural breaks. Powered by TCPDF (www.tcpdf.org)
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