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IJSTR >> Volume 8 - Issue 10, October 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Predicting And Managing Credit Risk By Implementing Scorecard Using Hybrid Strategy With Trust Rating

[Full Text]

 

AUTHOR(S)

M.S.Irfan Ahmed, P.Ramila Rajaleximi

 

KEYWORDS

Dual Scoring Model, Application Scoring, Behavioural Scoring, Credit Bureau Scoring, Hybrid Scoring Strategy, Sequential-Matrix Model, Trust Rating.

 

ABSTRACT

Financial institutions possess a great deal of credit risk in assessing credit application for approval. In recent days, to assess, manage and to make decisions on the credit risks of the customers, financial institutions employ internal scorecards. However, major banks use several existing one-dimensional credit scoring model which may lead to inaccurate assessment results. In this paper, a three-dimensional hybrid credit scoring technique has been proposed that includes sequential application scoring along with the dual credit scoring matrix model. Dual credit scoring model uses behavioural credit scoring and credit bureau scoring for computing the trust rating. Also, the behavioural scoring model employs an optimized multiple rank score based feature selection for accurate scoring. On employing the signed approach based trust ratings, the customers are categorized into three risk groups for assessing and managing the customer credit risks. The credit strategies to be followed in making decisions are also presented along with the empirical analysis. The results from the analysis show that the proposed method provides 88% precision with 43.17 K-S statistics value.

 

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