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Bankruptcy Risk Assessment in Corporate Lending Based on Hybrid Neural Networks and Fuzzy Models
2019
Korporativnye Finansy
The purpose of this article is the presentation of a novel and unconventional algorithm for bankruptcy risk management in banking technologies catered towards lending to legal entities (enterprises and companies). The challenges of assessing risk in this area primarily relate to the reduction of type I and type II errors when making decisions on the terms of lending (i.e. loan amounts and repayment parameters) on the ostensibly objective basis of a borrower's creditworthiness assessment. As
doi:10.17323/j.jcfr.2073-0438.13.1.2019.28-39
fatcat:247yhuqdyzedjbe6r57ickn6va