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Local approach in mechanical properties prediction
Brumek, J. ; Strnadel, B. ; Dlouhý, Ivo
Indentation technique was focused on the prediction of the strain hardening behaviour of carbide steels. An improved technique to determine the plastic properties of material from the load-displacement curve from a ball indentation test was proposed. The time severity for the search for an optimal solution for a non-linear constitutive model is dependent on a number of design variables. Common methods like gradient methods or linear programming can fail due the fact that they drop to the local minimum. The advantage of a genetic algorithm does not require knowledge of the target function. Proposed method was applied to the data from the instrumented indentation technique. Results were found to be in good agreement with the data from conventional, standard tests, and in less time.
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Segmentation of the organic food market
Doležalová, Barbora ; Koudelka, Jan (advisor) ; Ježková, Renata (referee)
The goal of this masters thesis is focused on segmentation of the organic food market in the Czech Republic based on analysis of similarities or differences among consumers in Czech organic food market and also find out who is a typical organic food consumer. The thesis is divided into three parts, the theoretical, the methodological and the practical part. Process of the market segmentation, methods and approaches of the segmentation, the basic concepts and legislation on the matter are described in the theoretical part. Furthermore, mapping the situation of the contemporary state of the Czech organic food market. Marketing research is introduced in methodological part of the thesis. The practical part includes market segmentation by using secondary data MML - TGI (with Data Analyzer software) and primary data from quantitative research (with SPSS software). Variables were reduced to the four factors by using factor analysis. Then consumers were put into five clusters based on cluster analysis. Segments were characterized in detail using a general analysis, contingency tables, MCART analysis and multivariate statistical methods. Finally, there were elaborated appropriate marketing recommendations for the individual segments to effective marketing communication with them.
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Irrationality in the decision- making of an individual as an economic entity in the territory of the Czech Republic
Böhm, Tomáš ; Zeman, Martin (advisor) ; Babin, Jan (referee)
The main objective of this thesis is an in-depth analysis of the decision-making process on issues of economic nature for individuals in the Czech Republic. The degree of rationality occurring in consumer behavior is evaluated based on lessons learned. The theoretical section is concerned with the economic aspect of the decision-making process, which mainly includes knowledge of neoclassical theory, whose basis is the cardinal and ordinal concept of utility maximization. Subsequently there are introduced the alternative approaches to decision making, focusing on the subjective aspects of human reasoning. Using the mutual synthesis of these approaches, the author draws a term behavioral economics, specific elements of which constitute a substantive content of the whole work. The practical section verifies the hypothesis that the decision-making contradicts the theory of rational individual conduct. Data collected through the questionnaire is subjected to analytical procedures by which the stated hypothesis was verified.
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Proměnlivost multiplikátorů vládních výdajů v čase: Evidence z dat z USA
Focht, Daniel ; Maršál, Aleš (advisor) ; Chytilová, Helena (referee)
This paper estimates the size of the government spending multiplier over different states of the economy. Previous research came with two contradictory conclusions. Part of the literature argues that the spending multiplier is larger during recession and zero-lower bound periods, while the second one concludes that it remains constant. First, a summary of the relevant literature is presented, outlining different types of used methodological approaches and estimated size of the multiplier. We build a model estimated using local projections by Jorda for the period 1889 to 2016 to estimate government spending multipliers over different states of the economy. Our results show that the spending multiplier remains constant over different states of the economy.
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Implementation of the Smart Metering Systems in Energetics in Slovakia
Petreová, Adela ; Machek, Ondřej (advisor) ; Tyll, Ladislav (referee)
The goal of the Master´s thesis is to map the actual situation of transformation of power energy sector to smart grid, find answers to some of the major questions concerning the implementation of smart metering systems, evaluate societal and economic costs and benefits, evaluate trends in legislation, compare the situation in Slovakia with other peer countries from the European Union, and create a follow-up recommendations for Slovakia based on this assessment. The thesis includes detailed critical analysis of the CBA, originally created for Slovakia, using benchmarking with countries with a different calculation approach. The used methodology in this work is a research of available resources, qualitative research of case studies, break-down of the CBA, and expert research through interviewing. The outcome is evaluation of economic and societal contributions of smart metering systems and mapping the process and state of the implementation.
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Segmentation of the detergent market
Bulantová, Barbora ; Koudelka, Jan (advisor)
This Masters Thesis is focused on detergent market in the Czech Republic and its market segmentation. The goal of this thesis is to find differences and similarities between consumers and to uncover the segments which are internally homogeneous and externally heterogeneous, and to suggest a marketing approach for each segment. Theoretical part of this thesis is about theoretical explanation of the market segmentation process, different approaches to segmentation and methods of segmentation. There is also a description of the detergent market in the Czech Republic. The analytical part is focused on segmentation process itself. The segmentation is based on both primary and secondary data. The revealed segments are then described in detail. There is a suggested marketing approach how to effectively address each segment.
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Strategic Trade Policy in Defence and Security Industry
Neumannová, Pavla ; Žamberský, Pavel (advisor) ; Jiránková, Martina (referee)
The master thesis is devoted to a nontraditional, however, in the todays world to a very current topic, arms industry and its support. The thesis connects the theoretical concept of the strategic trade policy (defined by P. Krugman or J. Brander) to its practical interpretation and application in the defence and security industry. The first chapter explains the strategic trade policy using the Brander Spencer analysis. The topic of the second chapter is strategic industries and this chapter answers the question whether the defence and security industry is a strategic industry or not. The third chapter analyses the possibilities of the support of DSI and compares approaches of different EU member states. The last chapter is devoted to the solution of this problem. The main contribution of this thesis is a new interpretation of the strategic trade policy, analysis of the importance of the defence and security industry and its support and suggestion of practical measures for Czech companies and for the Czech Ministry of Defence.
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Content Marketing for Lead Generation in B2B Educational and Consulting Services
Nykodýmová, Barbora ; Zamazalová, Marcela (advisor) ; Pospíchal, Tomáš (referee)
The aim of this thesis is to acquaint the reader with the issue of content marketing for generating leads and information about potential customers, then to analyze and offer some recommendations for its further use among B2B suppliers of educational and consulting services. The theoretical part discusses three key topics: the specifics of the services and B2B sector; content marketing and the reasons for its inclusion in marketing strategy; and the issue of lead generation as a possible metric of content marketing and sales tool. The practical part of the thesis approaches this topic from the perspective of four representatives of service suppliers, complemented by a point of view of the mediate company IVITERA. This company brings together one of the largest B2B communities in the services sector on the Czech market within its (especially online) media projects. Research was conducted through individual interviews with representatives of all five companies and by an analysis of secondary data, leads and keywords provided by the mediate company.
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Serverless single page application in JavaScript
Zikmund, Marian ; Pecinovský, Rudolf (advisor) ; Suchan, Vladimír (referee)
The goal of this thesis is to design and develop a framework for building modern single- page application in the JavaScript programming language and describe this approach to development. The work also contains the documentation for a more comfortable use and customization. The content is divided into eight chapters. The introduction is followed by the retrieval of information resources, including the specifics of the JavaScript programming language and explanation of the formation of single-page application. The description of the basic principles of their functioning, motivation and justification, when and why this approach is appropriate is also included. The work is primarily focused on the issue of single-page application, for which the use of the JavaScript programming language is crucial. For this reason, this work provides a whole chapter about this programming language, also including a description of its history and role in the context of others. Below are the common characteristics of single-page applications frameworks, built on top of the library ReactJS, whose formation is engaged in the following chapter. The developed framework also contains the user guide. The practical outcome of this work is an open source framework for creating serverless single-page applications, which is due to its architecture and documentation appropriately adaptable.
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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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