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Macroeconometric Model of Monetary Policy
Čížek, Ondřej ; Pánková, Václava (advisor) ; Kodera, Jan (referee) ; Lukáš, Ladislav (referee)
First of all, general principals of contemporary macroeconometric models are described in this dissertation together with a brief sketch of alternative approaches. Consequently, the macroeconomic model of a monetary policy is formulated in order to describe fundamental relationships between real and nominal economy. The model originated from a linear one by making some of the parameters endogenous. Despite this nonlinearity, I expressed my model in a state space form with time-varying coefficients, which can be solved by a standard Kalman filter. Using outcomes of this algorithm, likelihood function was then calculated and maximized in order to obtain estimates of the parameters. The theory of identifiability of a parametric structure is also described. Finally, the presented theory is applied on the formulated model of the euro area. In this model, the European Central Bank was assumed to behave according to the Taylor rule. The econometric estimation, however, showed that this common assumption in macroeconomic modeling is not adequate in this case. The results from econometric estimation and analysis of identifiability also indicated that the interest rate policy of the European Central Bank has only a very limited effect on real economic activity of the European Union. Both results are influential, as monetary policy in the last two decades has been modeled as interest rate policy with the Taylor rule in most macroeconometric models.
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Extrakce volatility pomocí Kalmanova filtru
Kuchyňka, Alexandr
This paper focuses on the extraction of volatility of financial returns. The volatility process is modeled as a superposition of two autoregressive processes which represent the more persistent factor and the quickly mean-reverting factor. As the volatility is not observable, the logarithm of the daily high-low range is employed as its proxy. The estimation of parameters and volatility extraction are performed using a modified version of the Kalman filter which takes into account the finite sample distribution of the proxy.
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Stavový model dopravního mikroregionu
Dohnal, Pavel
The papers deals with an application od Bayes for estimationof the queue lenth in junction arm. This model splits controlled networks into microregions. The queue length and the occupancy of each junction approach are the bacis state quantities for fully expressed traffic situation at given time instant. The optimization criterion for this attitude is minimalization of the queue length. For clearness, the model is derived for simple junction.
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Model dopravní mikrooblasti
Homolová, Jitka ; Nagy, Ivan
This paper introduces a new concept of the state model of one traffic microregion based on a maximum utilization of information from all measured traffic variables. The aim of the model is to estimate length of queues that are formed on arms of junctions with traffic lights. The model and estimation algorithm is tested for several types of disturbances which can arise in reality. These experiments illustrate the functionality and effectiveness of the proposed model for estimating queue lengths.
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Alternative methods of estimating potential output and the output Gap: An application to Czech
Krasnovský, Pavol ; Brůna, Karel (advisor) ; Kuncl, Martin (referee)
The text discusses some used methods for estimating potential product and output gaps based on aggregated data for the Czech Republic. Though these methods exhibit some common features, an empirical comparison demonstrates that the various techniques differ substantially. In particular, the correlation of output gaps calculated with different methods is generally low , the methods imply different turning points. To conclude, the methods for estimating potential product a used have only limited information content for macroeconomics.
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