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Building a predictive model for bankruptcy
BÜRGER, Pavel
Thesis deals with complex process of creation of new bankruptcy model for predicting business failure, while this process involves selection of quality sample, verification of classification accuracy of already existing bankruptcy models, profile analysis and finally the derivation of specific equation of bankruptcy model. The derivation is performed by using two selected statistical methods, discriminant analysis and logistic regression. Two bankruptcy models Bürger's index DA12 and Bürger's index LR12 were derived by using the mentioned statistical methods. The new models distinct advantage is, unlike already existing and renowned bankruptcy models, that they are focused on classification of micro and small enterprises in terms of Czech Republic, while classification accuracy one year before failure is by individual models 74.8 % and 81.87 %. Derived models have clear interpretation (no grey zone) and easy calculation, which brings a possibility for micro and small entrepreneurs to check their business partners in terms of failure prediction.
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Využití NIR spektroskopie při kontrole falšování kozích sýrů
Přikrylová, Iveta
Diploma thesis deals with use of near-infrared spectroscopy to detect falsification of goat's cheese. The basic knowledge of goat's and cow's milk and requirements for milk during cheese production are summarized in the theoretical part. There is also described the cheese production and the following part is devoted to food falsification with describing falsification of milk products and the facilities of adulteration detection by optical methods. The remaining part deals with NIR spectroscopy as a suitable method for the verification of food authenticity. The practical part is focused on the use of NIR spectroscopy to detect the difference between cheese samples with different concentrations of cow's milk in goat's cheese and subsequent use of discriminant analysis for evaluation. The results showed that the method is suitable for detection of falsification of goat's cheese and that is why could be useful for rapid analysis in practice.
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Financial distress prediction of company
MAŇASOVÁ, Helena
The theoretical part of this master thesis deals with creation and solution of financial distress and analysing classification models. In the practical part I defined own methods for financial distress prediction of company using discriminant analysis and logistic regression.
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Analysis of determinants of company’s performance
Jankovská, Petra ; Neumaierová, Inka (advisor) ; Hájek, Jiří (referee)
The master's thesis aim is to construct an index of profitability of Czech banks using the method of discriminant analysis. The bases for construction of the index are commonly used ratios characteristic for the banking sector whose impact on profitability was evaluated as statistically significant. These indicators are calculated for a sample of 16 banks over three years; the individual observations were classified into one of two groups according to profitability. Besides the construction of the index and the subsequent description of the results, the work also deals with a brief description of the Czech banking sector and its development during the reference period. The theoretical part is mainly focused on description of the specifics of bank statements and interpretation of financial ratios used in the model. One chapter also discuss the basis of discriminant analysis.
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The genus Puccinelia (Parl.) in Western Himalaya
KARÁSEK, Jakub
The aim of this study was found the best characters for determination of six Puccinellia species growing in western Himalaya. The sets of quantitative and qualitative were examined. The best characters for species determination were Lemma apex, glume apex, anthers length. New character the structure of cross section of leaf was examined and found to be good for species determination.
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Assessment of the predictive ability of prediction models
Huba, Samuel ; Strnad, Lucien (advisor) ; Bobáková, Viktória (referee)
The subject of my work is to test the predictive ability of prediction models applied on companies "MEDEA a.s" and "Šarišské pekárny a cukrárny a.s." The theoretical section summarizes the main knowleadge of the prediction models- their division, the method of classifying businesses, discriminant analysis procedure and descriptions of selected prediction models used in the practical part. The practical section is aimed to assess the prognostic ability of the selected prediction models for predicting collapse of the "MEDEA a.s" in contrast with the correct predicted favorable financial situation in comparing company "Šarišské pekárny a cukrárny a.s." The results are then presented in the tables individually and collectively with the success percentage of each model.
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