National Repository of Grey Literature 87 records found  beginprevious49 - 58nextend  jump to record: Search took 0.00 seconds. 
Commercialization in Microfinance
Švenka, David ; Chytilová, Julie (advisor) ; Kracík, Jiří (referee)
This thesis is focused on commercialization in microfinance. Particularly on one of its possible negative impacts - the mission drift. Microfinance could be described as a useful financial tool that makes it possible to provide banking services, usually small loans and deposits, to rural poor people who live in places where it is hard to access the traditional banking sector. Commercialization of microfinance institutions means that the MFIs seek for commercial ways of funding. This usually happens when, for instance, some of the microfinance NGOs transforms into regulated commercial entity. Mission drift is then a situation when the microfinance institutions (MFIs) commercialize and abandon some of their poorest clients in order to pursuit some non-social goal such as sustainability or profitability. Therefore the MFIs drift from their original mission which is usually to fight the poverty. So far, there has not been conducted a lot of research on this topic. Furthermore, neither the microfinance experts agree with each other about the existence of mission drift. Therefore the main goal of this thesis is to closer inspect the mission drift on data from the MIX database. To do this we have used the regression analysis, combined with analysis of historical performance of the observed MFIs.
Utilizing artificial neural networks to accelerate evolutionary algorithms
Wimberský, Antonín ; Holeňa, Martin (advisor) ; Gemrot, Jakub (referee)
In the present work, we study possibilities of using artificial neural networks for accelerating of evolutionary algorithms. Improving consists in decreasing in number of calls to the fitness function, the evaluation of which is in some kinds of optimization problems very time- consuming and expensive. We use neural network as a regression model, which serves for fitness estimation in a run of evolutionary algorithm. Together with the regression model, we work also with the real fitness function, which we use for re-evaluation of individuals that are selecting according to a beforehand chosen strategy. These individuals re-evaluated by the real fitness function are used for improving the regression model. Because a significant number of individuals are evaluated only with the regression model, the number of calls to the real fitness function, that is needed for finding of a good solution of the optimization problem, is substantially reduced.
The coronary atherosclerosis regression during hypolipidemic therapy
Kovárník, Tomáš ; Aschermann, Michael (advisor) ; Rokyta, Richard (referee) ; Pudil, Radek (referee)
Background: There is no study focusing on changes of coronary atherosclerosis during dual hypolipidemic therapy with statin and ezetimibe. Methods: 107 patients with stable angina were enrolled and the final analysis was performed in 89 patients. Randomization was 1:1 to the group A (atorvastatin 80mg and ezetimibe 10mg) and to the standard group S. Treatment period was 12 months. Results: Changes of percent atheroma volume (PAV) were -0,4% in group A and + 1,4% in group S, p=0,014. Combine atherosclerosis regression (increase of lumen volume together with decrease of PAV) was found more frequent in group A (40,5%) than the group S (14,9%), p=0,007. The target LDLc level < 2mmol/l, presence of at least four of five atherosclerotic risk factors, and decrease of VCAM level were independent predictors for plaque regression. There were no significant differences in plaque composition between the two groups over the duration of the study. However during analysis the two groups together, fibrous and fibro-fatty tissues decreased and dense calcification and necrotic core increased during follow-up. Conclusion: The dual hypolipidemic therapy starts atherosclerosis regression. Despite significant decrease of lipid levels the continuous plaque shift from fibro and fibro-fatty to necrotic with calcification...
The impact of economical news on market volatility
Večeřa, Jakub ; Petrásek, Jakub (advisor) ; Hlávka, Zdeněk (referee)
This thesis is focusing on estimating volatility of the given financial time series by analysing economical news headlines. Probabilistic Latent Semantic Analysis is used to extract meaning from the headlines and to reduce dimension of the data space. To ensure symmetry and normality of dependent variable Box-Cox transformation is used. Finally a linear model is constructed to measure dependence of volatility on financial news and its robustness is validated by Cross-validation. Computations are performed in R software.
Identification and accounting the changes in calculation of the IBNR reserves.
Brdíčková, Jana ; Trchová, Radka (advisor) ; Mazurová, Lucie (referee)
This text describes wide variety of models for IBNR reserve estimation, among them we can find chain ladder, Munich chain ladder, Cape Cod or regression methods. Especially, it aims at identification of model assumptions, its verification, impacts of their non-fulfillment and resulting model modification. Moreover, this work deals with anomalies and specificity of historical data and tries to suggest solutions for this problems. The last part of the thesis is dedicated to real analysis of motor third party liability.
Application of econometric and simulation models in organizing a running race
Mihál, Filip ; Kuncová, Martina (advisor) ; Novotný, Jakub (referee)
This diploma thesis deals with application of econometric and simulation models in organizing relay running race od Tatier k Dunaju. In theoretical part the reader is introduced to basic theory regarding econometric and simulation models. Detailed introduction to od Tatier k Dunaju running race follows afterwards. There are used multiple regression models in this thesis which are used to estimate runner s time in his sector based on 10 km run reported time and track profile. Results are compared to those provided by organizer himself and between each other. Simulation models are used to analyze sufficiency of parking lots capacity, which are used by team cars while traveling between sectors. These models are compared to reality and afterwards suggestions to solve recognized issues are discussed.
Analysis of Economic Indicators Using Statistical Methods
Wahed, Sam ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The Bachelor’s Thesis analyses through statistical and demographic methods the structure of the population of Czech Republic in a past representation and future projection, in relation to its workforce. The methods of processing the time series and the demographic relations are presented in the theoretical part and these methods are further elaborated in the practical part. The results of the Bachelor’s Thesis that have been discovered by the analysis are assessed in the Conclusion that also contains a proposition of a solution as a contribution to the situation ascertained. The Attachment of the Bachelor’s thesis is a statistical calculator programmed in VBA to facilitate the calculations.
Analysis of the AGRO Vémyslice s.r.o. Company Using Time Series
Lesonický, Lukáš ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor’s thesis is focused on analyzing the performance of AGRO Vémyslice company using time series. Evaluates company performance based on output from the accounts. It is divided into two parts. The theoretical part deals with the issue of financial and statistical analysis, practical part is focused on the analysis of specific indicators, the evaluation and draw conclusions.
An Examination of Financial Situation of the Company Using Time Series
Pšenčík, Jiří ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This thesis deals with financial analysis and evaluation of the situation of PKD, Ltd. between 2004 and 2008. Work consists of practical and theoretical parts. The theoretical parts are used in specified economic indicators and the theoretical basis of statistical analysis. The practical part will focus on the assessment of the financial situation with financial indicators and their representation in the time series by using regression curves.
The Use of SVM in Environment of Financial Markets
Štechr, Vladislav ; Prochocká, Kristína (referee) ; Budík, Jan (advisor)
This thesis deals with use of regression or classification based on support vector machines from machine learning field. SVMs predict values that are used for decisions of automatic trading system. Regression and classification are evaluated for their usability for decision making. Strategy is being then optimized, tested and evaluated on foreign exchange market Forex historic data set. Results are promising. Strategy could be used in combination with other strategy that would confirm decisions for entering and exiting trades.

National Repository of Grey Literature : 87 records found   beginprevious49 - 58nextend  jump to record:
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