Title page for etd-0826109-173555


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URN etd-0826109-173555
Author Zong-ruei Yang
Author's Email Address No Public.
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Department Institute of Human Resource Management
Year 2008
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title none
Date of Defense 2009-07-19
Page Count 71
Keyword
  • SMEs
  • logistic regression analysis
  • credit risk of loans
  • non-financial risk factor
  • Abstract  This paper provides a credit risk quantification system for banks to estaminate the credit risk of loans to small and mediume nterprises(SMEs). As we know, the most difficult thing for banks to handle SME loans is whose financial reporting lacks transparency and no valuable reference.
     We use non-financial variables and employ the logisitic regression to develop the credit risk predict model. We concludet: first, when construct a SMEs credit rating system, non-financial factors should be seriously considered and adopted. Second, because of positioned different stage of firm life cycle, the credit rating model should be set up differently by different stage of firm. Third, SME loans should to make much of establishing “relationship-based” in order to meet the various demands of risk management.
    Advisory Committee
  • Yong-Chuan Wang - chair
  • Jie-Tsuen Huang - co-chair
  • Chin-Ming Ho - advisor
  • Files
  • etd-0826109-173555.pdf
  • indicate access worldwide
    Date of Submission 2009-08-26

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