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Use of fuzzy logic for banking risk assessment
Maňková, Veronika ; Bobalová, Martina (referee) ; Janková, Zuzana (advisor)
The thesis focuses on the use of fuzzy logic in the banking sector for credit risk assessment. Artificial intelligence, especially the fuzzy logic method, is used to construct a model for evaluating whether a client poses a threat to the bank or not based on their creditworthiness. The determination of a client's creditworthiness involves the evaluation of both financial and non-financial indicators. The paper further describes the use of the MATLAB tool for the development and implementation of this model. The resulting model allows banks to better understand credit risk and enables them to make more informed lending decisions.
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Analysis of Economic Data Using Statistical Methods
Maňková, Veronika ; Janíčková, Nikola (referee) ; Michalíková, Eva (advisor)
The bachelor thesis is focused on the evaluation of the financial situation of Scania Czech Republic s.r.o. using financial indicators and statistical methods. The theoretical part of the thesis first present all the important information, which is then used in the practical part to calculate the economic indicators. The practical part is drawn from the available resources from the company on which the financial analysis is based. Statistical methods are then determined primarily for prediction based on the calculated financial analysis. The final result, evaluation of calculations and advice for the following years can be seen at the conclusion of the bachelor thesis.
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Use of fuzzy logic for banking risk assessment
Maňková, Veronika ; Bobalová, Martina (referee) ; Janková, Zuzana (advisor)
The thesis focuses on the use of fuzzy logic in the banking sector for credit risk assessment. Artificial intelligence, especially the fuzzy logic method, is used to construct a model for evaluating whether a client poses a threat to the bank or not based on their creditworthiness. The determination of a client's creditworthiness involves the evaluation of both financial and non-financial indicators. The paper further describes the use of the MATLAB tool for the development and implementation of this model. The resulting model allows banks to better understand credit risk and enables them to make more informed lending decisions.
|
|
|
Analysis of Economic Data Using Statistical Methods
Maňková, Veronika ; Janíčková, Nikola (referee) ; Michalíková, Eva (advisor)
The bachelor thesis is focused on the evaluation of the financial situation of Scania Czech Republic s.r.o. using financial indicators and statistical methods. The theoretical part of the thesis first present all the important information, which is then used in the practical part to calculate the economic indicators. The practical part is drawn from the available resources from the company on which the financial analysis is based. Statistical methods are then determined primarily for prediction based on the calculated financial analysis. The final result, evaluation of calculations and advice for the following years can be seen at the conclusion of the bachelor thesis.
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