Some points of minimizing informational risks in banking
Abstract
The basic types of informational risks are considered and the basic informational threats, which are faced in banking, are analyzed. On the example of the analysis of legal persons-borrowers of the bank, using Bayesian networks, the cause-and-effect relations between financial activities in factor-lists and key activities were defined. The built Bayesian network model allowed to define the correlation between credit non-returns and the quality of informational resource, particularly with incompleteness data of a borrower. Based on the analysis of the model the approaches to minimize information risks by correctly handle missing data with regard to their origin reasons were proposed.
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