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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Sharing economy as an innovative exchange instrument in the area of financial services in the context of an ongoing digital revolution in the Czech Republic in 2016
 Demyanenko, Sergey ; Barák, Vladimír (advisor) ; Brabec, Petr (referee)
The bachelor thesis examines the issue of so called sharing economy and its impact on consumer behavior of individuals in the Czech Republic. The theoretical part of thesis defines the historical, social and economic context, that enabled the emergence of this modern exchange model and provides an overview of the financial services in the sharing economy operating on the Czech market. The empirical part presented in the form of a questionnaire survey reveals the main benefits of services of the sharing economy, defines the perception of financial services of collaborative consumption by a specific group of population of the Czech Republic and examines the potential development of this model as a whole. The results of the research indicate that, notwithstanding the relatively low level of trust in the collaborative consumption services and quite limited familiarity with the financial services of the sharing economy, the future positive development of this exchange model, which under the right conditions will gain significant national economic significance, may be expected.
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Machine Learning Methods for Credit Risk Modelling
 Drábek, Matěj ; Witzany, Jiří (advisor) ; Málek, Jiří (referee)
This master's thesis is divided into three parts. In the first part I described P2P lending, its characteristics, basic concepts and practical implications. I also compared P2P market in the Czech Republic, UK and USA. The second part consists of theoretical basics for chosen methods of machine learning, which are naive bayes classifier, classification tree, random forest and logistic regression. I also described methods to evaluate the quality of classification models listed above. The third part is a practical one and shows the complete workflow of creating classification model, from data preparation to evaluation of model.
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