National Repository of Grey Literature 7 records found  Search took 0.00 seconds. 
Bankruptcy prediction modelling in construction business
Burdych, Filip ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
This master thesis deals with bankruptcy prediction models for construction companies doing business in Czech Republic. Terms important for understanding the issue are defined in the theoretical part. In analytical part, there are five current bankruptcy prediction models tested on the analysed sample and resulted accuracy compared with original ones. On the basis of knowledges acquired, there is developed a brand-new bankruptcy prediction model.
Bankruptcy prediction modelling in manufacturing branch
Synková, Gabriela ; Bartoš, Vojtěch (referee) ; Karas, Michal (advisor)
This diploma thesis deals with the creation of a bankruptcy model for the manufacturing industry in the Czech Republic using logit analysis. The theoretical part defines the concept of bankruptcy model, financial distress and financial health of the company. This section is focused on the influence of macroeconomics on the accuracy of these models, a look into their history and description of selected models. The practical part of the thesis is initially focused on determining the reliability of selected bankruptcy models, and then a new bankruptcy model is compiled.
Bankruptcy prediction modelling in manufacturing branch
Kulkusová, Martina ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
The diploma thesis is aimed at the problematic within the prediction of bankruptcy of companies operating in manufacturing industry in Czech Republic. There are defined terms related to the topic, methods of creating bankruptcy models and selected bankruptcy models in the theoretical part. Analytical part includes testing of the selected bankruptcy models. Thereafter a new bankruptcy model is created, which is subsequently tested and its accuraccy is compared to models from other authors.
Evaluation of the Financial Situation of the Company and Proposals for its Improvement
Skuhravý, Kevin ; Procházková, Kateřina (referee) ; Škapa, Stanislav (advisor)
This diploma thesis deals with the topic of evaluating the financial situation of Pilulka Lékárny a. s. and suggestions for its improvement. Based on the theoretical knowledge, a financial analysis is performed, which then leads to individual proposals for improving the financial situation of the company.
Bankruptcy prediction modelling in manufacturing branch
Kulkusová, Martina ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
The diploma thesis is aimed at the problematic within the prediction of bankruptcy of companies operating in manufacturing industry in Czech Republic. There are defined terms related to the topic, methods of creating bankruptcy models and selected bankruptcy models in the theoretical part. Analytical part includes testing of the selected bankruptcy models. Thereafter a new bankruptcy model is created, which is subsequently tested and its accuraccy is compared to models from other authors.
Bankruptcy prediction modelling in manufacturing branch
Synková, Gabriela ; Bartoš, Vojtěch (referee) ; Karas, Michal (advisor)
This diploma thesis deals with the creation of a bankruptcy model for the manufacturing industry in the Czech Republic using logit analysis. The theoretical part defines the concept of bankruptcy model, financial distress and financial health of the company. This section is focused on the influence of macroeconomics on the accuracy of these models, a look into their history and description of selected models. The practical part of the thesis is initially focused on determining the reliability of selected bankruptcy models, and then a new bankruptcy model is compiled.
Bankruptcy prediction modelling in construction business
Burdych, Filip ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
This master thesis deals with bankruptcy prediction models for construction companies doing business in Czech Republic. Terms important for understanding the issue are defined in the theoretical part. In analytical part, there are five current bankruptcy prediction models tested on the analysed sample and resulted accuracy compared with original ones. On the basis of knowledges acquired, there is developed a brand-new bankruptcy prediction model.

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