National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Econometric Systems of Equations as a Tool for Financial Data Analysis
Vaverová, Jana ; Zichová, Jitka (advisor) ; Krtek, Jiří (referee)
This thesis deals with analysing multivariate financial and economical data. The first section describes various types of econometric systems of equations, vector autoregression and constucting models based on this theory. The second part deals with analysing the dependence of time series of inflation rates on various macroeconomical indicators and reciprocal dependence of two exchange rates time series. All results were obtained by the Mathematica 8.0 software.
Time series models with exogenous variables and their application to economical data
Vaverová, Jana ; Zichová, Jitka (advisor) ; Cipra, Tomáš (referee)
This thesis deals with analyzing multivariate financial and economical data. The first section describes the theory of multivariate time series and multivariate ARMA models. The second part deals with some models with exogenous variables such as simultaneous equations models and ARMAX model. In the final chapter, the described theory is applied to analyze the reciprocal dependence of time series of inflation rates and dependence of inflation rates on various macroeconomical indicators. The results were obtained by software Mathematica 8, Mathematica 10, EViews and R. Powered by TCPDF (www.tcpdf.org)
Econometric Systems of Equations as a Tool for Financial Data Analysis
Vaverová, Jana ; Zichová, Jitka (advisor) ; Krtek, Jiří (referee)
This thesis deals with analysing multivariate financial and economical data. The first section describes various types of econometric systems of equations, vector autoregression and constucting models based on this theory. The second part deals with analysing the dependence of time series of inflation rates on various macroeconomical indicators and reciprocal dependence of two exchange rates time series. All results were obtained by the Mathematica 8.0 software.

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