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Bankruptcy Prediction Modelling in the Agriculture Business
Pokorný, Petr ; Peter,, Markovič, (referee) ; Karas, Michal (advisor)
This master’s thesis is focused on problematic within the prediction of bankruptcy of companies operating in the field of agriculture in Czech republic. First part consists of introduction to companies that do business in field of agriculture and it describes bankruptcy models that are used in academicals sphere. Other part of thesis is divided into two sub-parts. First part is dedicated to an application of data into models of bankruptcy and their evaluation. Second part is focused on improvement of the best model and its main goal is to maximize the precision of the bankruptcy.
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Bankruptcy Prediction Modelling in the Manufacturing Industry
Tichá, Barbora ; Bartoš, Vojtěch (referee) ; Karas, Michal (advisor)
This diploma thesis deals with the issue of bankruptcy prediction of small and medium-sized enterprises operating in the manufacturing industry in selected Central European countries. The theoretical part of the thesis defines the concepts related to the prediction of bankruptcy and methods of model creation. The analytical part of the work includes testing the accuracy of selected bankruptcy model by other authors and creating a new bankruptcy model. The accuracy of the newly created model is then compared with the accuracy of selected models by other authors.
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Bankruptcy prediction model
Kratochvilová, Monika ; Bartoš, Vojtěch (referee) ; Karas, Michal (advisor)
This diploma thesis is focused on the evaluation of the efficiency of selected bankruptcy models in the Czech Republic. In the theoretical part the basic terminology and methodology of bankruptcy models creation are introduced. In addition are mentioned, model constraints, an overview of the indicators used, and information about model accuracy. This part also presents analyzed models and methods of assessing the reliability of bankruptcy models. In the practical part, the reliability of selected bankruptcy models is evaluated and a new bankruptcy model is built.
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Risk Management in the Company
Hobza, Tomáš ; Kopřiva, Jan (referee) ; Bartoš, Vojtěch (advisor)
The diploma thesis focuses on the problematics of the risk management, especially on the management accountability for the breach of the obligations related to corporate governance and breach of obligations in the connection with bankruptcy proceedings, in particular the obligation to file a bankruptcy.
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Bankruptcy Prediction Modelling in Construction Business
Srbová, Pavla ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
The diploma thesis is aimed at creating a bankruptcy model for companies of the construction industry in the Czech Republic by using discriminant analysis. In the theoretical part, the concept of bankruptcy model is defined; this part is focused on the inclusion of bankruptcy models in economics, a look into their history, a description of selected models and a brief characteristic of the construction industry. In the practical part, the reliability of selected bankruptcy models is counted and a new bankruptcy model is built.
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Decision making based on partially known decision trees
Poláček, Tomáš ; Dostál, Petr (referee) ; Koutský, Jaroslav (referee) ; Váchal, Jan (referee) ; Dohnal, Mirko (advisor)
There is a wide range of different algorithms for insolvency prediction. The complex concept of insolvency proceedings from the point of view of both parties (debtor versus creditor) and from the point of view of the macroeconomics in this dissertation is new. It is often very difficult to generate forecasts using numerical quantifiers and traditional statistical methods. The reason is the lack of input data. Therefore, the work uses trend analysis tools based on the least information intensive quantifiers, ie trends, increasing, constant, and decreasing. A trend model solution is a set of scenarios where a set of variables is quantified by these trends. All possible transitions between the scenarios are generated and plotted in transition graphs. The oriented transition graph has as a node a set of scenarios, and as a branch the transitions between the scenarios. The given path through the transition graph describes any possible future and past behavior of the insolvency system being investigated. The Transition graph is a complete list of trend-based forecasts. The heuristics for determination of the payoff values from the insolvency proceedings applicable to the decision tree tools and the generated transition graphs from trend analyzes are also presented and used in the thesis. A nine-dimensional model serves as a case study. Vague variables are used in models that may have a major impact on the entire insolvency process, eg greed level and political situation.
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The current effectivness of bankruptcy prediction models in the conditions of Czech Republic
Kratochvilová, Monika ; Bartoš, Vojtěch (referee) ; Karas, Michal (advisor)
This bachelor thesis is aimed on evaluation of effectiveness of selected bankruptcy models in the Czech Republic environment. In the theoretical part are introduced analyzed models and methods used to model analysis. Here is explained the concept of bankruptcy, its origin and history, the definition of financial analysis and its methods. This section also describes a description of selected bankruptcy models and their limited reporting ability. In the practical part, the reliability of selected models is first evaluated and subsequently changes are proposed to improve reliability
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The current effectivness of bankruptcy prediction models in the conditions of Central and Eastern Europe
Honzíček, Štěpán ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
Bachelor’s thesis describes issues of bankruptcy risk. It fleshes out key concepts related to bankrupt, introduces financial analysis like a instrument of evaluation enterprise financial situation and specifically deals with prediction bankruptcy models. Metodology of model construction is introduced and ROC curves as an efficiency testing method. Case study makes evaluation of accuracy for five chosen models in sector small and medium enterprises manufacturing industry of central and eastern Europe. Concluding part narrates possibility modification of models for accuracy increase.
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