Izvestiya of Saratov University.
ISSN 1994-2540 (Print)
ISSN 2542-1956 (Online)


кредитоспособность

Methods for diagnostics and forecasting SMEs creditworthiness using artificial intelligence

Introduction. The impact of multidirectional external macroeconomic and regional factors of the economic environment in conditions of uncertainty and increased risks causes significant difficulties in diagnosing, assessing and forecasting the creditworthiness of financial and credit support recipients and borrowers (micro, small and medium-sized enterprises) in the Russian Federation. Theoretical analysis.

Диагностика и прогнозирование кредитоспособности субъектов МСП с применением искусственного интеллекта

Воздействие разнонаправленных внешних макроэкономических и региональных факторов экономической бизнес-среды в условиях неопределенности и повышенных рисков обуславливает значительные сложности диагностики, оценки и прогнозирования кредитоспособности получателей финансово-кредитной поддержки и заёмщиков - субъектов малого и среднего предпринимательства в Российской Федерации. Теоретический анализ.

Specification of Requirements for Credit Assessment of Borrowers

Introduction. Reviewed banking license by the Central Bank continues to occur, usually as a result of placement of funds by banks in the form of loans to the low-quality assets with low liquidity. The situation is complicated by a zero rate of growth of the economy and the fall in consumer demand. There is a growth of overdue loans, especially for small businesses.