Proszę używać tego identyfikatora do cytowań lub wstaw link do tej pozycji:
http://hdl.handle.net/11320/6045
Tytuł: | Classification of Trade Sector Entities in Credibility Assessment Using Neural Networks |
Autorzy: | Wójcicka, Aleksandra |
Słowa kluczowe: | credit risk default bankruptcy neural networks |
Data wydania: | 2017 |
Data dodania: | 5-gru-2017 |
Wydawca: | Wydawnictwo Uniwersytetu w Białymstoku |
Źródło: | Optimum. Studia Ekonomiczne, Nr 3(87) 2017, s. 153-161 |
Abstrakt: | One of the most valid tasks in credit risk evaluation is the proper classification of potential good and bad customers. Reduction of the number of loans granted to companies of questionable credibility can significantly influence banks’ performance. An important element in credit risk assessment is a prior identification of factors which affect companies’ standing. Since that standing has an impact on credibility and solvency of entities. The research presented in the paper has two main goals. The first is to identify the most important factors (chosen financial ratios) which determine company’s performance and consequently influence its credit risk level when granted financial resources. The question also arises whether the line of business has any impact on factors that should be included in the analysis as the input. The other aim was to compare the results of chosen neural networks with credit scoring system used in a bank during credit risk decision-making process. |
Afiliacja: | Wydział Informatyki i Gospodarki Elektronicznej, Uniwersytet Ekonomiczny w Poznaniu |
E-mail: | aleksandra.wojcicka@ue.poznan.pl |
URI: | http://hdl.handle.net/11320/6045 |
DOI: | 10.15290/ose.2017.03.87.11 |
ISSN: | 1506-7637 |
Typ Dokumentu: | Article |
Występuje w kolekcji(ach): | Optimum. Studia Ekonomiczne, 2017, nr 3(87) |
Pliki w tej pozycji:
Plik | Opis | Rozmiar | Format | |
---|---|---|---|---|
A_Wojcicka_Classification_of_Trade_Sector_Entities_in_Credibility_Assessment_Using_Neural_Networks.pdf | 183,21 kB | Adobe PDF | Otwórz |
Pozycja jest chroniona prawem autorskim (Copyright © Wszelkie prawa zastrzeżone)