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Business tendency surveys in selected countries and their forecasting ability
Březinová, Eliška ; Fischer, Jakub (advisor) ; Dubská, Drahomíra (referee)
Business tendency survey as a part of expectations surveys should provide valuable information on the future evolution of the economy represented by the indicator of gross domestic product. The thesis contains a brief description of the Harmonized System of the Business tendency survey that is created by the European Commission and the OECD. The system provides advice and recommendation to member and non member countries of the European Union. The aim of this thesis is to compare models containing gross domestic product and the various confidence indicators compiled for the six selected countries of the European Union. Emphasis is placed on verification of the ability of each indicator to predict the evolution of gross domestic product. The thesis uses appropriate methods of time series analysis, especially cointegration analysis and VAR models.
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Modelling and forecasting seasonal time series
Jantoš, Milan ; Bašta, Milan (advisor) ; Helman, Karel (referee)
In this Master Thesis there are summarized basic methods for modelling time series, such as linear regression with seasonal dummy variables, exponential smoothing and SARIMA processes. The thesis is aimed on modelling and forecasting seasonal time series using these methods. Goals of the Thesis are to introduce and compare these methods using a set of 2184 seasonal time series followed by evaluation their prediction abilities. The main benefit of this Master Thesis is understanding of different aspects of forecasting time series and empirical verification of advantages and disadvantages these methods in field of creating predictions.
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An evaluation of real GDP growth forecasts
Kačmareková, Monika ; Jablonský, Petr (advisor) ; Dobrovolný, Marek (referee)
This paper is aimed at verifying the reliability of real GDP growth forecasts for Czech Republic periodically published. Concretely the prediction of different groups of institutions have been examined. It includes analysis of forecasts for the period 2003-2011. Evaluation criteria for assessing their accuracy consist of summary statistics, directional accuracy rate and graphical illustration of avereged prediction. These evaluation methods are important for the hypothesis verification. It has been demonstrated the ability to deliver more accurate forecasts in comparison with earlier period in a specific horizon, next, a rising precision of predictions with declining time horizon, systematic underestimation of forecasts in the time of expansion and overestimation in the time of recession. At last, the conducted analysis displays that czech institutions are doing not considerably better in forecasting real GPD growth.
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The Evaluation of the Heavy Convective Precipitation Forecast
Zacharov, Petr ; Řezáčová, Daniela (advisor) ; Brechler, Josef (referee) ; Pešice, Petr (referee)
The thesis deal with the evaluation of the quantitative convective precipitation forecast and its uncertainty. Five convective events that produced heavy local rainfall in the Czech Republic were studied. The nonhydrostatic local model LM COSMO was run with a horizontal resolution of 2.8 km and an ensemble of 13 forecasts was created by modifying the initial and boundary conditions. Forecasts were verified by gauge-adjusted radar-based rainfalls. Ensemble skill and ensemble spread were determined using the Fractions Skill Score (FSS). The spread represents the differences between the control forecast and the forecasts provided by each ensemble member, while the skill evaluates the difference between the precipitation forecast and radar-based rainfalls. The numerical experiments used the FSS-skill and spread values related to four events to estimate the skill-spread relationship. The relationship was applied to a fifth event to estimate the QPF ensemble skill given the ensemble FSS-spread. A couple of test of FSS computing were performed. The analysis of these events proved, that the application of the new fuzzy verification scores in high resolution QPF is highly advisable. The new scores are more suitable then the traditional verification scores based on the contingency table. In order to asses the...
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Analysis of Seasonality in the Czech Construction
Šimpach, Ondřej ; Arltová, Markéta (advisor) ; Hušek, Roman (referee)
The output of the National economy of the Czech Republic is conditioned by a sum of important factors. There are sectors, which increased power during the last two decades, mainly due to expansion of modern technologies and knowledge workers. One of this is Construction. Construction is specific to its position in the economy and in particular is characterized by the greatest seasonality ever. However, this is not a problem for statistical analysis, rather a benefit. Modern approaches allow us to analyze seasonal fluctuations. From selected data we are able to construct evolutionary forecasts. The work will be performed for the most important indicators in the Czech Construction. The outcome of the paper will be conditional forecasts of these indicators. It will also make analyze of the relationship between these indicators and other variables that might affected it. The work is practical application of stochastic modeling approach by Box and Jenkins, augmented by more modern approaches, such as verification of Granger causality and co-integration and testing of seasonal unit roots by Hylleberg et al.
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Predictors of current economic issues
Mlýnek, Jonáš ; Sirůček, Pavel (advisor) ; Nečadová, Marta (referee)
In 2007, the U.S. economy plunged into the deepest recession since 1930's. Later on problems poured into the rest of the world, which just as the U.S. lived in illusion that any slowdown is impossible. Despite widespread optimism, a few harbingers drew attention to unhealthy fundamentals. This thesis deals with the phenomenon of economic crises forecasting, focusing on the aforementioned recession. It aims at analyzing of the most discussed predictions and introducing their authors who were not only highly respected figures, but also less well-known economists. Nouriel Roubini, who became a symbol of economic forecasting, is discussed in closer detail. The analysis of his work focuses on the development, consistency and verification of his views. It also draws general conclusions on Roubini's predicting.
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Methods of Technical Prognostics Applicable to Embedded Systems
Krupa, Miroslav ; Ďaďo, Stanislav (referee) ; Tůma, Jiří (referee) ; Bejček, Ludvík (advisor)
Hlavní cílem dizertace je poskytnutí uceleného pohledu na problematiku technické prognostiky, která nachází uplatnění v tzv. prediktivní údržbě založené na trvalém monitorování zařízení a odhadu úrovně degradace systému či jeho zbývající životnosti a to zejména v oblasti komplexních zařízení a strojů. V současnosti je technická diagnostika poměrně dobře zmapovaná a reálně nasazená na rozdíl od technické prognostiky, která je stále rozvíjejícím se oborem, který ovšem postrádá větší množství reálných aplikaci a navíc ne všechny metody jsou dostatečně přesné a aplikovatelné pro embedded systémy. Dizertační práce přináší přehled základních metod použitelných pro účely predikce zbývající užitné životnosti, jsou zde popsány metriky pomocí, kterých je možné jednotlivé přístupy porovnávat ať už z pohledu přesnosti, ale také i z pohledu výpočetní náročnosti. Jedno z dizertačních jader tvoří doporučení a postup pro výběr vhodné prognostické metody s ohledem na prognostická kritéria. Dalším dizertačním jádrem je představení tzv. částicového filtrovaní (particle filtering) vhodné pro model-based prognostiku s ověřením jejich implementace a porovnáním. Hlavní dizertační jádro reprezentuje případovou studii pro velmi aktuální téma prognostiky Li-Ion baterii s ohledem na trvalé monitorování. Případová studie demonstruje proces prognostiky založené na modelu a srovnává možné přístupy jednak pro odhad doby před vybitím baterie, ale také sleduje možné vlivy na degradaci baterie. Součástí práce je základní ověření modelu Li-Ion baterie a návrh prognostického procesu.
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Quantification of consumer loans development in the Czech republic
Chroustovská, Eva ; Malý, Michal (advisor) ; Michal, Michal (referee)
This thesis describes consumer loans in the Czech Republic in the period from 1993 to 2014. Theoretical part of the thesis begins with a description of most known economical theories, that relate to consumer loans and is afterwards supplemented by description of related macroeconomical indicators, accompanied by the description of consumer theory. Practical part defines the economic and econometric models, both of which are used for quantification of the dependence of consumer loans on various macroeconomical indicators in the Czech Republic. The model is subjected to economical, econometrical and statistical verifications, in order to be applied and used for potencial forecast.
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Production of electric energy in Czech republic
Skružný, Matouš ; Grosz, Jan (advisor) ; Köppelová, Jana (referee)
This Bachelor thesis deals with the production of electricity in the Czech Republic. The search part is focused on describing the different sources of electricity production and the characteristics of the sources in the Czech Republic. In the practical part is sequentially compared the total electricity production in the Czech Republic and the EU per capita, compared to European countries, according to the sources of production, comparison of electricity prices in Europe for households and industrial enterprises and other comparisons in the field of energy in the Czech Republic, the EU and other European countries. Furthermore there is verification of the renewable and nonrenewable sources electricity by using the correlation coefficient. The last part is the forecast of electricity production in the EU, using time series analysis.
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How people learn from mistakes on an example of weather lores
Skála, Jakub ; Schwarz, Jiří (advisor) ; Šolc, Jan (referee)
The work deals with the empirical research of informal institutions. The aim was to determine on the basis of the verification of weather lores whether our null hypothesis is valid. Our null hypothesis is as follows: known weather lores have a higher success rate of forecast than unknown weather lores. We worked on the assumption, that in the general awareness remain mainly weather lores that works (passed on from generation to generation as a result of long-term learning process). That should have clarified whether not working weather lores are used any more. We verified weather lores on the basis of hydro- meteorological data for the period 1972-2002. We used several measure criteria. Each criteria was tested with Student's t-test. For all criteria, we observed that at the 5% level of significance we could not reject the hypothesis of equal values of known and unknown weather lores. It was not confirmed our hypothesis that known weather lores have a higher success rate of predictions. That means there is no development of informal institutions in the context of informal institutions on the basis of our empirical research. Keywords weather lores, formal institutions, informal institutions, development of informal institutions, categorical evaluation of weather forecast
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