Assessment and Analysis of Credit Risk with Using of Logical and Probabilistic Model

Abstract

The present paper contains description of logic and probabilistic (LP) model of the credit risk and evidences of its high accuracy and stability based on using of groups of incompatible events (Bayes' formula) and the logically well organised probabilistic polynomial of risk. However the present paper pays basic attention to the following applied aspects of using credit risk LP-models, connected with acquisition of income: Evaluation of accuracy and stability of credit risk model, numerical evaluation of credit risk and set the price for the risk, choice of relation of incorrectly classified good and bad credits, risk analysis of a separate credit, bank credit activity analysis, choice of optimum variety of signs for credit description, choice of the grade number for each sign and intervals of values for grades. We state also an approach for development of dynamic risk LP-model and describe developed Software for evaluation and analysis of credit risk.