Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
The problem of financial risks in banking analysis is investigated. The scheme of decision making for credit loans using scoring cards is given. The system architecture of financial risks analysis is shown. The automation of loan applications consideration based on SAS Data processing-technologies is described. Analytical module SAS Fraud Scoring possibilities were analyzed.
1. Kuznietsova N., Bidyuk P. Systemic approach to estimation of financial risks, (2015),International Conference “Informatics, mathematic, automatics”,Sumy, pp. 46–47.
2. Bouchaud J.-Ph. Elements for a Theory of Financial Risks, (2000), Physika A., Vol.285, No.1, pp. 18–28.
3. Altunbas Y., Carbo S., Gardener E. P. M., Molyneux P. Examining the Relationships between Capital, Risk and Efficiency in European Banking(2007), European Financial Management, Vol. 13, No.1, pp. 49–70.
4. Kiss F. Credit scoring processes from a knowledge Management perspective, (2003), Periodica Polytechnica Ser. Soc.Man. Scl.,Vol. 11, No.1, pp. 95–110.
5. Siddiqi N.Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring, (2005), John Wiley&Sons, Hoboken, 208 р.
6. UsachevS. Kreditnijskoring: reshenieklassa desktop ili enterprise [Credit scoring: decisions of desktop or enterprise], (2008), Banks and technologies, No. 4, pp.50-54.
7. Casolaro L., and Gobbi G. Information Technology and Productivity Changes in the Banking Industry,(2007), Economic Notes, Vol.36, No.1,pp.43–76 (in Russian).
8. Kuznietsova N.V. Informacijni technologii obrobki ta analizu dannih u financovomu rizik-menedgmenti [Informational technologies of data proceeding and analysis in financial risks management], (2015), Informational technologies and special security, Кyiv, Ukraine, Institute for Information recording, Vol.1, pp.86-98 (in Ukrainian).
9. Kuznietsova N.V. Pytannyayakosti, konfidencijnosti ta korrektnosti dannih v informacijnih technologiyah analizu finansov ih rizikiv [Data quality, confidence and correctness questions in informational technologies of financial risks analysis], (2015), 15th Intern. Conf. “Informational technologies and security”,Кyiv, Ukraine, pp. 130–136 (in Ukrainian).
10. Tuffery S. Data mining and statistics for decision making,(2011),Published New York: John Wiley & Sons, Inc., 704 p.
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