The effectiveness of positive data sharing in controlling the growth of indebtedness in hong kong credit card industry

Authors:
Vincent To-Yee Ng;Wai Tak Yim;Stephen Chi-Fai Chan
Affiliations:
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Venue:
Data Mining
Year:
2006

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Abstract

In order to cut down on soaring personal loan bankruptcies, the Hong Kong government had unveiled a plan in early of 2002 to allow banks to share more credit information about their customers. This paper analyses how effective the positive data sharing scheme will be and examines whether any other personal credit attributes can serve the same purpose. In our work, a survey was conducted to verify industry’s perception on what attributes was essential for credit risk assessment. The result was compared with the implication from the neuro-fuzzy data mining on real transaction data. The comparison suggests that the perception on positive data is not absolutely correct and the positive data sharing cannot always achieve its purposes.