The risk management in bank lending technology corporations
Authors
Kasimova Liana Irikovna
graduate student of the department of macroeconomic development and public administration
Bashkir State University
[email protected]
Abstract
On the basis of a systematic method of structural transformation systems the original algorithm of risk management in banking technology lending entities was developed (businesses and companies). The essence of risk management is to reduce the errors I and II when deciding on the conditions of lending to borrowers (loan size and parameters of the cash flow for repayment) on the basis of an objective assessment of the creditworthiness of borrowers. Application tools - neural network model with a clear description.
Keywords
1 and 2 the error type, credit risks, scoring models, neural networks, fuzzy penta scale of Pospelov.
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