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Money demand in Eurozone and other European countries
Slezarová, Iva
The goal of this thesis is to examine relationship between money demand, interest rates and real GDP in the Czech Republic, United Kingdom and Eurozone in time period 2005-2013. Apart from OLS regression the work will also focus on stability of the demand form money and exogeneity of money. In the thesis is among general tools as OLS and its variants used cointegration analysis for determination of exogeneity and other methods connected with it. For analysis were used quarterly data obtained from central banks of given countries and OECD statistical database.
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Econometric Analysis of Financial Data
Baniar, Matúš ; Zichová, Jitka (advisor) ; Cipra, Tomáš (referee)
Econometric Analysis of Financial Data Author: Matúš Baniar Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Jitka Zichová, Dr. Abstract: In some occasions, financial data can be represented as a combination of cross-sectional and time-series information. Hence it could be convenient to consider a system of econometric equations for modeling such data sets. At the beginning of this thesis, we describe general definitions and we talk about different types of variables from the perspective of exogeneity. Later, we describe some specific cases of these equations: SUR system, simultaneous equation models and the model of vector autoregression. For selected models, we also discuss estimation methods and their properties. In the final section, the described approach is applied to real financial data making use of appropriate software. Keywords: exogeneity, SUR system, simultaneous equations, VAR
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Econometric Analysis of Financial Data
Baniar, Matúš ; Zichová, Jitka (advisor) ; Cipra, Tomáš (referee)
Econometric Analysis of Financial Data Author: Matúš Baniar Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Jitka Zichová, Dr. Abstract: In some occasions, financial data can be represented as a combination of cross-sectional and time-series information. Hence it could be convenient to consider a system of econometric equations for modeling such data sets. At the beginning of this thesis, we describe general definitions and we talk about different types of variables from the perspective of exogeneity. Later, we describe some specific cases of these equations: SUR system, simultaneous equation models and the model of vector autoregression. For selected models, we also discuss estimation methods and their properties. In the final section, the described approach is applied to real financial data making use of appropriate software. Keywords: exogeneity, SUR system, simultaneous equations, VAR
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Econometric Analysis of Financial Data
Baniar, Matúš ; Zichová, Jitka (advisor) ; Cipra, Tomáš (referee)
Econometric Analysis of Financial Data Author: Matúš Baniar Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Jitka Zichová, Dr. Abstract: In some occasions, financial data can be represented as a combination of cross-sectional and time-series information. Hence it could be convenient to consider a system of econometric equations for modeling such data sets. At the beginning of this thesis, we describe general definitions and we talk about different types of variables from the perspective of exogeneity. Later, we describe some specific cases of these equations: SUR system, simultaneous equation models and the model of vector autoregression. For selected models, we also discuss estimation methods and their properties. In the final section, the described approach is applied to real financial data making use of appropriate software. Keywords: exogeneity, SUR system, simultaneous equations, VAR
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Indikátory finanční nestability v USA a EU
Glovčík, Michal
The diploma thesis deals with financial stability and its indications. In the theoretical part is firstly described the evolution of theory of money in order to clarify the role of money in financial stability. After that the financial instability is defined according to the authors Borio and Lowe (2002) as a rapid credit expansion combined with strong growth in asset prices. The mutual relationship of credit and asset prices is examined, especially how the credit creation of money can contribute to the creation of asset price bubbles. Empirical part analyses the possibility to use volumes of credit and asset prices to indicate financial instability. The empirical analysis is performed on the time series of the volume of credit, residential property prices and stock indices for the USA and the Eurozone. At first the tightness of relationship of credit and asset prices is examined by the rolling correlations and it is followed by testing Granger exogeneity to reveal causal links. Based on the results of the empirical analysis the recommendation for monetary authorities is made regarding the indication of financial instability.
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Money demand in Eurozone and other European countries
Slezarová, Iva
The goal of this thesis is to examine relationship between money demand, interest rates and real GDP in the Czech Republic, United Kingdom and Eurozone in time period 2005-2013. Apart from OLS regression the work will also focus on stability of the demand form money and exogeneity of money. In the thesis is among general tools as OLS and its variants used cointegration analysis for determination of exogeneity and other methods connected with it. For analysis were used quarterly data obtained from central banks of given countries and OECD statistical database.
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Endogenita peněz v měnových uniích a malých otevřených ekonomikách
Sedláček, Jaroslav
This thesis examines the nature of money in the monetary union and the small open economy. The first part describes the different theories that deal nature of money in economy. Thoroughly discussed here post-Keynesian approach from which is the assumption of endogeneity of money primary based. The empirical part of the thesis is based on the individual theoretical approaches, where are defined the default causal relationship between selected variables. These relationships are tested on real quarterly data in Euro area in the period 1998-2013 and in the Czech Republic in the period 2002-2013. Analysis of collected data was performed by using vector autoregression models, namely Granger Causality. Causal relationships are detected between loans, GDP, money supply and monetary base. From obtained results were made recommendations for monetary policy makers in the Czech Republic and Euro area.
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