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Pacific Rim Knowledge Acquisition Workshop

PKAW 2010: Knowledge Management and Acquisition for Smart Systems and Services pp 82–90Cite as

Business Intelligence for Delinquency Risk Management via Cox Regression

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6232))

Abstract

The recent economic downturn has made many delinquent credit card customers, which in sequence reduced profit margins as well as sales of the retail companies. This study focuses on customers who have recovered from credit delinquency to analyze repayment patterns of delinquents. A Cox regression model is designed as a credit-predicting model to handle with credit card debtors. The model predicts the expected time for credit recovery from delinquency. The model’s prediction accuracy is compared with that of other known algorithms.

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Author information

Authors and Affiliations

  1. School of Business Administration, Kyungpook National University, 1370 Sangyeok-dong, Buk-gu, 702-701, Daegu, Korea

    Sung Ho Ha & Eun Kyoung Kwon

Authors
  1. Sung Ho Ha
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  2. Eun Kyoung Kwon
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Editor information

Editors and Affiliations

  1. School of Computing ad Information Systems, University of Tasmania, TAS7250, Launceton, Tasmania, Australia

    Byeong-Ho Kang

  2. Computing Department,Division of Information and Communication Sciences, Macquarie University, 2109, Sydney, NSW, Australia

    Debbie Richards

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© 2010 Springer-Verlag Berlin Heidelberg

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Ha, S.H., Kwon, E.K. (2010). Business Intelligence for Delinquency Risk Management via Cox Regression. In: Kang, BH., Richards, D. (eds) Knowledge Management and Acquisition for Smart Systems and Services. PKAW 2010. Lecture Notes in Computer Science(), vol 6232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15037-1_8

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  • DOI: https://doi.org/10.1007/978-3-642-15037-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15036-4

  • Online ISBN: 978-3-642-15037-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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