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Volumn 38, Issue 1, 2004, Pages 91-99

Credit scoring system for small business loans

Author keywords

Credit scoring system; N tiers; Small business loans; XML

Indexed keywords

COMMERCE; ECONOMICS; FINANCE; MATHEMATICAL MODELS; TAXATION; XML;

EID: 4243066337     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9236(03)00079-4     Document Type: Article
Times cited : (44)

References (12)
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  • 4
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    • Competition, small business financing and discrimination: Evidence from a new survey, business access to capital and credit
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  • 5
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  • 8
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    • Stock market behavior around bankruptcy model distress and recovery predictions
    • Charlottesville
    • Katz S., Lilien S., Nelson B. Stock market behavior around bankruptcy model distress and recovery predictions. Financial Analysts Journal. 41(1):1985;70-74. (Charlottesville).
    • (1985) Financial Analysts Journal , vol.41 , Issue.1 , pp. 70-74
    • Katz, S.1    Lilien, S.2    Nelson, B.3
  • 9
    • 0002370369 scopus 로고
    • A description of the model-view-controller user interface paradigm in the smalltalk-80 systems
    • August/September
    • Krasner G., Pope S. A description of the model-view-controller user interface paradigm in the smalltalk-80 systems. Journal of Object Oriented Programming. 1988 (August/September);26-49.
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    • Krasner, G.1    Pope, S.2
  • 10
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    • Financial statement analysis and the prediction of stock returns
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    • Ou, J.1    Penman, S.2
  • 11
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    • The effect of credit market competition on lending relationships
    • Petersen M., Rajan R. The effect of credit market competition on lending relationships. Quarterly Journal of Economics. 110:1995;406-443.
    • (1995) Quarterly Journal of Economics , vol.110 , pp. 406-443
    • Petersen, M.1    Rajan, R.2
  • 12
    • 84997479670 scopus 로고
    • Managerial applications of neural networks: The case of bank
    • Tam K., Kiang M. Managerial applications of neural networks: the case of bank. Management Science. 38(7):1992;926-947.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.