|
Doing business while studying
Kopecká, Adéla ; Kašparová, Eva (advisor) ; Novák, Pavel (referee)
This thesis is written about factors, which leads people doing business while studiing. It is more actual then ever and it is more and more popular between people. This thesis tries to find out which factors are important, that student starts his/her own business. This thesis is devided to two parts. the first one is teoretical and second one is practical. Teoretical part is about business and motivation. The aim of second part is to identifie and examine factors of motivation doing business, analysis of current situation in Czech republic and analysis of business support also in Czech republic and abroad.
|
|
Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
|
|
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.
|
|
IT requirements management of insurance company
Dvorský, Petr ; Bruckner, Tomáš (advisor) ; Jungmannová, Barbora (referee)
The first part of thesis deals with theoretical knowledge, thus defining the concepts of recommendations from the field of requirements management. The second part focuses on the identification, analysis and subsequend design solutions to problems arising from working with the requirements. Methods for identifying problems are carried out workshop, participant observation and interviews with employees from the IT sector of the insurance company. The outputs of this work are proposals for improving requirements management, some of them are successfully applied in Kooperativa. The first draft, which was applied to create a process library. Further, of four different types of prioritization was selected and applied method that is defined by ITIL. Other outputs are design of new user interface of requirements software and starting to design a Change Advisory Board, which is compared to ITIL enhanced with additional features. Further was established Business Consultant Department, which has task of efficiently collecting client requirements and the supporting documents were created for this department.
|
|
Analysis of security access to internet banking via mobile devices
Hiršal, Michael ; Veber, Jaromír (advisor) ; Klíma, Tomáš (referee)
The objective of this thesis is to analyze and review external security of mobile applications providing mobile banking on Android operating system. The theoretical section is aimed to describe the prerequisites for security analysis and the technological design of security for this kind of applications. Related practical section is based on the data acquired by the author in which the technological security is examined. Products of the companies Air Bank, a.s. and Moneta Money Bank, a.s. were selected to be examined in the practical section. These two companies are sample of the current Czech bank market. The examined level of security of both of the applications and their comparison are covered in the conclusion of the thesis.
|
|
Application of Monte Carlo simulations in banking
Boruta, Matěj ; Teplý, Petr (advisor) ; Fučík, Vojtěch (referee)
Currently, banking is exposed to huge market risks. One of those risks is occurrence of negative interest rates in the EU. Nowadays, it is important to use sophisticated and modern measurement tools and approaches to measure and manage banking risks. One of those methods is Monte Carlo simulation. This bachelor thesis is aimed at analysis and prediction of 3-month maturity Prague Interest Offer Rate (PRIBOR) for 3, 6 and 12 months with using Monte Carlo simulations. It was found that this method is suitable for prediction market variables with low volatility. If anybody uses this method, it is necessity to have in mind all pitfalls and assumptions, that this method includes, as an adequate random generated number of scenarios, approximation of correct probability distribution, independence of dataset and not least, as far as possible, to focus on factors generating randomness of market variable and not the prices, that express rather consequences of randomness than its cause. Further, the Monte Carlo prediction was compared with prognosis of the Czech Nation Bank and it was found that Monte Carlo prediction is more accurate for short term predictions. 12-month prediction of Monte Carlo simulation discovered also possible occurrence of negative interest rate at 0,05% level of probability in compare to the Czech National Bank prognosis, where was no negative interest rate predicted.
|
|
Analysis of Reporting in Business and its Technological Coverage by Microsoft BI
Lučan, Martin ; Pour, Jan (advisor) ; Pavlíčková, Jarmila (referee)
This master thesis deals with an analysis of reporting in business and its technological coverage by Microsoft Business Intelligence portfolio. The main objective of this work is to analyze the individual organization's requirements on reporting and coverage options. This work can serve as a tool for implementation of reporting in a company or for increasing the efficiency of reporting. The first part is theoretical. It deals with Business Intelligence as an environment for reporting. It also defines the basic concepts. The next part covers the area of reporting. This section provides an insight into the history, definition of outcomes and detailed classification of reporting from different perspectives. Furthermore, the definition of users reporting and the reporting standards in companies is also covered. At the end of this chapter, there is the definition of the benefits of reporting for companies. The main part of this master thesis is an analysis of the requirements for reporting in companies. The chapter defines five key perspectives which are described in a greater detail. The methods how companies should methodically approach these requirements are also discussed. The chapter further looks at the requirements for a concrete report. An output of this chapter is an effective template for gathering requirements for a specific report. The last chapter focuses on reporting portfolio analysis of Microsoft and defines the concept of Microsoft. It provides detailed information about reporting products that Microsoft offers. An analyses and a mapping of the individual characteristics of the products and the requirements is defined in this thesis.
|
|
Communication Strategy of Komerční banka, a.s. with a Focus on the Youngsters
Bartůňková, Eva ; Postler, Milan (advisor) ; Jelínková, Jitka (referee)
Thesis explores communication strategy of Komerční banka, a.s. with a focus on the Youngsters. The aim of this thesis is an analysis of previous and current campaigns, corroborated by original research. The thesis comprises six chapters, the first two chapters dealing with theory, the rest dealing with empirical findings. The first chapter discusses the difference between marketing and commercial communication and kinds of commercial communication; the second chapter delves into the issue of communication strategy, its types and development. The third chapter consists of a presentation of Komerční banka, a.s. including an evaluation of the competition; the subsequent chapter discusses the characteristics of the G2 brand, its target group and includes an SWOT analysis. The content of the fifth chapter is a description of previous communication and of new communication campaign of the G2 brand. In the conclusion of the thesis, research results are assessed and future steps are recommended.
|
| |
|
Nutrition of pregnant - reccomendation and reality
FAJMONOVÁ, Simona
For my bachelor thesis I have chosen the theme : Nutrition of pregnant women recommendations and reality. The theoretical part includes the specifics of nutrition in preconception period and pregnancy, risk groups of pregnant women, high-risk behavior and a chapter about dietary supplementation in pregnancy. Pregnancy is an important period in a woman's life. The changes that accompany pregnancy also impose increased demands on the supply of the body with nutrients. I have chosen the method of a survey for the processing of the research part of my thesis. The practical part includes the results of the survey, which was attended by 80 women in the 7th-9th month of pregnancy. The questionnaire asked for basic information besides the weight, height and weight gain in pregnancy, also eating habits, fluid intake, inadequate habits (alcohol, smoking), use of dietary supplements, awareness of pregnant women and their physical activity. The questionnaires were processed in Microsoft Excel using tables and graphs. All collected pieces of information about dietary habits were compared with the recommendations for pregnant women. The aim of this thesis was to find out what is the reality of eating habits of pregnant women compared with recommendations. Another aim was to determine, whether pregnant women are well informed about the nutrition recommendations during their pregnancy and where they get the information from. Further aim was to explore, whether pregnant women use nutritional supplements before or during pregnancy and what kind of them. The last aim was to determine some of the bad habits during pregnancy (e.g. alcohol , smoking). The results of the questionnaire survey showed that by the majority of pregnant women the reality and recommendations coincided in water intake and beverage preference. Most of them preferred water or tea. Coffee consumption was also by the majority of them problem-free. Eating meat and eggs corresponded with the recommendations for a large group of respondents. As for legumes, fish and fish products, their consumption corresponded with the recommendations by only about half of the women. Eating fruits and vegetables were in the majority of pregnant women unfortunately insufficient as well as the consumption of milk and dairy products, nuts and seeds. It would be very appropriate to increase consumption of these groups of food. Conversely, the consumption of sausages and sweets, which turned out to be more frequent, should be reduced . Most women were well informed about the nutrition recommendations during their pregnancy, in most cases from the media or pregnancy counseling from a doctor. Here, I would suggest creating a website for pregnant women offering really reliable information. Nutritional supplements related to pregnancy were used by about half of the respondents. Only less than a half of the surveyed women supplemented folic acid in preconception period. I would suggest to create some information leaflets about the suitability of folic acid supplementation in preconception period and place them in the gynecological outpatient's clinics . Pregnant women ordinarily didn't smoke and consume alcohol. Occasional alcohol consumption stated 14 % of women. It seems that women are informed enough about the risk of smoking and alcohol consumption.
|
guest ::
