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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.
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Incidental disputes in insolvency
Pavlů, Robert ; Sedláček, Miroslav (advisor) ; Holčapek, Tomáš (referee)
Incidental disputes in insolvency Abstract, key words This thesis focuses on the issue of incidental disputes in insolvency proceedings with an emphasis on the different types of such disputes, pointing out some problematic aspects of the current legislation. Incidental dispute is a special type of civil court proceedings, the purpose of which is to resolve issues that are central to the whole insolvency proceedings and cannot be resolved in the insolvency proceedings themselves and thus require separate attention. Decisions in such disputes can have a fundamental impact on the rights of litigants and third parties, which underlines their importance not only in the insolvency context. This thesis conducts a thorough analysis of the legal regulation of incidental disputes in insolvency proceedings, drawing on legislation, case law, specialist literature and, last but not least, the practical experience of the author as an assistant of an insolvency practitioner with a special authorization. The thesis first deals with the general concept of incidental disputes, their characteristics, legal regulation and the course of court proceedings concerning them. It then focuses on the different types of incidental disputes as provided for in the Insolvency Act and other relevant legislation. This thesis also refers...
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Bankruptcy of financial institutions
Cimburková, Barbora ; Sedláček, Miroslav (advisor) ; Střeleček, Tomáš (referee)
Bankruptcy of financial institutions Summary The thesis deals with the issue of bankruptcy of financial institutions with the aim of providing a comprehensive interpretation of the current legislation and its analytical assessment. The thesis is divided into 7 chapters within which the reader is initially introduced to the key words of this thesis such as "bankruptcy" and "financial institution" and then to the individual procedures that can occur in the event of failure of financial institutions, which are: resolution proceedings under the CRD, liquidation under the CC and insolvency proceedings under the IC. Attention is thus primarily paid to the mutual definition of these procedures in order to declare in which cases the procedures are applicable, with which specifics and under which conditions. In the chapter on resolution proceedings, the reader is given a closer look at the BRRD and the CRD, which implemented the directive into the Czech legal system and which, apart from the resolution proceedings themselves, also regulates preventive measures taken to prevent the emergence of negative effects of potential failures of financial institutions on the financial system in the form of recovery plans or crisis resolution plans. An unforgettable part of the chapter is also the specification of individual...
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The use of convolutional neural networks for predicting the financial failure of a company
Šebestová, Monika ; Chramcov, Bronislav (referee) ; Lenort, Radim (referee) ; Režňáková, Mária (referee) ; Dostál, Petr (advisor)
The doctoral thesis deals with the use of convolutional neural networks for predicting the financial failure of companies. A bibliometric analysis was used during the processing of the literature review, which enabled a better orientation in scientific works oriented to the methods and approaches used in the past to predict the financial failure of companies. On the basis of the obtained knowledge, a deep learning model based on the GoogLeNet architecture was proposed, with inputs consisting of financial and macroeconomic indicators of companies. The modeling was based on the transfer learning method, in which it is possible to fine-tune the parameters of the pre-established networks to accelerate the learning process of the convolutional neural network. The initial set of financial and macroeconomic indicators was compiled from the variables that were most often used in business failure prediction models in scientific papers. Appropriate statistical methods were used for the specific selection of indicators from which the model is built. Since convolutional neural networks work best with image processing, the quantitative values of the input indicators were graphically interpreted and it was investigated which type of graphical processing is most suitable for predicting the failure of companies. Due to the existence of an unbalanced data set, the effect of the SMOTE method on the accuracy of the model's prediction was analyzed in the thesis. The method was used to increase the number of samples of the minority class of firms. To model the prediction of financial default, several variants of models were proposed, which differed in the form of input data. It was tested how the removal of outliers from the data set, the point in time from which the data come or the method of predictor selection will affect the accuracy of the prediction. The parameters of the resulting model were further fine-tuned so that it was able to classify businesses from new real data. The research conducted showed that using the right type of graphical processing of input data, SMOTE technique and appropriate parameter settings, convolutional neural networks can predict the financial failure of companies with high accuracy.
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Bankruptcy Prediction Modelling Small and Medium Enterprises
Shmatova, Valeriia ; Režňáková, Mária (referee) ; Karas, Michal (advisor)
This thesis explores the issue of corporate bankruptcy in the Czech Republic, including its causes and related legal regulation. The theoretical part of the thesis focuses on bankruptcy models and their creation, including the statistical methods used in these models. In the analytical part, the accuracy of selected bankruptcy models from different authors was tested, a new bankruptcy model was created using logistic regression on samples of small and medium-sized Czech and Slovak companies in the manufacturing industry, and the performance of this new model was subsequently compared to others.
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Personal bankruptcy of a consumer
ŠEDIVÝ, Filip
The bachelor thesis deals with debt relief for non-business individuals. The indebtedness of Czech households is high and growing. If a debtor does not have the means to repay his or her outstanding liabilities, he or she can easily fall into a debt trap. For many of them, the only way out is debt relief, which is one of the options for resolving bankruptcy. For debtors, insolvency represents the chance of a new life without debt if they successfully go through the insolvency process. The bachelor thesis describes the issue of household debt, compares the development of the legal regulation of the insolvency law, explains the basic concepts of insolvency proceedings and describes the process of the insolvency process itself. The practical part focuses on the development of the number (and success rate) of personal bankruptcies, evaluation of the data obtained and testing of hypotheses. The aim of the work is to compare the development of the legal regulation of debt settlement, describe its course and evaluate the use of this insolvency instrument by consumers on the basis of data obtained directly from the insolvency register.
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Vlpyv deliaceho bodu na klasifikáciu bankrotných firiem pomocou logitového modelu
Dolnáková, Paulína
Dolnáková, P. Impact of the threshold on the classification of bankruptcy companies using the logit model. Master thesis. Brno: Mendel University, 2021. The thesis is dedicated to creating and optimization of a predictive bankruptcy logit model. The model is based on 3 840 companies from Central Europe, among which 47 went bankrupt in 2017. To compare the quality of classification, the individual models are created both on the whole data set, but also using the division of data into training and validation subsets. We used the proportion 60/40 in which 60% of companies form a training subset and the remaining 40% of companies form a validation subset. Also, a 70/30 proportion was used. In the case of dividing the whole data set into training and validation subsets, a one thousand simulations were created. Using these strategies, separate models are created for individual monitored years, based on data from one to three years before the moment of possible bankruptcy. The quality of the classification of created models is assessed by total accuracy, sensitivity, and the AUC criterion. The influence of the threshold value on the quality of the classification is clearly presented on the individual models.
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The position of the creditor in insolvency proceedings
MODROVÁ, Tereza
The aim of this bachelor thesis is to deal with creditor status in insolvency proceeding in the Czech Republic. The focus is set on ways of satisfying creditors across all forms of the procedures within the insolvency proceedings and opportunities to defend their interests. This thesis describes participation in activities as a subject of creditors authorities with considering the so-called common creditors interest. Furthermore, in the theoretical part is described creation of tax allowance to receivables and write-off receivables and demonstrated their tax importance. The work also considers impact of COVID-19 pandemic on the process of insolvency proceedings and acceptance of new legislation. The practical part analyses data taken from the insolvency register and compares the level of creditors satisfaction according to the method of bankruptcy resolution. In addition, there is pointed out satisfaction order of receivables with consideration of receivable type or usage of collateral instruments.
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Businessman as a subject of insolvency proceedings
URBANCOVÁ, Markéta
The aim of the diploma thesis is directed at the process of insolvency proceedings, in which the businessman acts as a debtor, or the so-called subject of insolvency proceedings. The theoretical part deals with the basic concepts, subjects of procedural proceedings and the insolvency process itself. It discusses ways of resolving the debtor's bankruptcy and does not omit significant recent changes in the insolvency law, nor historical developments in the field of insolvency. In the practical part, the insolvency register is a supporting source in data collection. For the purposes of the diploma thesis, we work with real subjects, ie. insolvent debtors. In the analysis of individual cases, the greatest emphasis is placed on the debt relief amendment No. 31/2019 Coll. IZ. The aim of the thesis is to analysis insolvency proceedings from the point of view of entry conditions of businessman in debt relief before and after a significant change in the Insolvency Act in 2019, evaluate the impact on businessman and find out whether the amendment generally contributed to streamlining insolvency proceedings.
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Ways of solving the bankruptcy of travel agencies
FERÁKOVÁ, Sabina
This diploma thesis deals with ways to solve the bankruptcy of travel agencies. The aim of the work is the analysis of selected ways of solving bankruptcy in insolvency proceedings and their impact in application practice. The work is divided into two parts, theoretical, which explains travel agencies looking at business, either as a individual person or a legal entity. It also explains the bankruptcy and the various ways in which it can be dealt with in the case of a natural or legal person. The second part contains a practical part, which analyses the number of active travel agencies in the Czech Republic, the number of travel agencies in bankruptcy and analyses in detail two cases of travel agencies that has declared bankruptcy and whose insolvency proceedings have already been terminated. The practical part includes proposals de lege ferenda.
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