STEHEL, Vojtěch, Jaromír VRBKA a Zuzana ROWLAND. Using neural networks for determining creditworthiness for the purpose of providing bank loan on the example of construction companies in South Region of Czech Republic. Ekonomicko-manažerské spektrum. Žilina: EDIS, 2016, roč. 2016, č. 2, s. 62-73. ISSN 1337-0839. |
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@article{36201, author = {Stehel, Vojtěch and Vrbka, Jaromír and Rowland, Zuzana}, article_location = {Žilina}, article_number = {2}, keywords = {artificial neural networks; creditworthiness; bank loan; prediction models; construction company}, language = {eng}, issn = {1337-0839}, journal = {Ekonomicko-manažerské spektrum}, title = {Using neural networks for determining creditworthiness for the purpose of providing bank loan on the example of construction companies in South Region of Czech Republic}, volume = {2016}, year = {2016} }
TY - JOUR ID - 36201 AU - Stehel, Vojtěch - Vrbka, Jaromír - Rowland, Zuzana PY - 2016 TI - Using neural networks for determining creditworthiness for the purpose of providing bank loan on the example of construction companies in South Region of Czech Republic JF - Ekonomicko-manažerské spektrum VL - 2016 IS - 2 SP - 62-73 EP - 62-73 PB - EDIS SN - 13370839 KW - artificial neural networks KW - creditworthiness KW - bank loan KW - prediction models KW - construction company N2 - Determining the creditworthiness of potential bank customers is a crucial step in the process of providing loans. An example of applications of neural networks in this article is executed on a specific group of construction companies operating in a specific time period in the South Region of Czech Republic. Article seeks a neural structure that will be able to classify each company based on the input of financial and non-financial data to a group of creditworthy companies, companies that will bankrupt in a year or companies that will bankrupt in the future. The result is the identification of the model with the greatest predictive power that can be used in practice. Its accuracy is around 96%. ER -
STEHEL, Vojtěch, Jaromír VRBKA a Zuzana ROWLAND. Using neural networks for determining creditworthiness for the purpose of providing bank loan on the example of construction companies in South Region of Czech Republic. \textit{Ekonomicko-manažerské spektrum}. Žilina: EDIS, 2016, roč.~2016, č.~2, s.~62-73. ISSN~1337-0839.
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