메뉴 건너뛰기




Volumn 5, Issue 4, 2009, Pages 391-406

Credit scoring and decision making in Egyptian public sector banks

Author keywords

Banks; Debit and credit; Decision making; Egypt; Neural nets; Public sector organizations

Indexed keywords


EID: 70350266119     PISSN: 17439132     EISSN: None     Source Type: Journal    
DOI: 10.1108/17439130910987549     Document Type: Article
Times cited : (20)

References (37)
  • 1
    • 84980104458 scopus 로고
    • Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
    • Altman, E.I. (1968), Financial ratios, discriminant analysis and the prediction of corporate bankruptcy, Journal of Finance, Vol. XXIII No. 4, pp. 589-609.
    • (1968) Journal of Finance , vol.XXIII , Issue.4 , pp. 589-609
    • Altman, E.I.1
  • 8
    • 34447098980 scopus 로고    scopus 로고
    • Reject inference, augmentation, and sample selection
    • Banasik, J. and Crook, J. (2007), Reject inference, augmentation, and sample selection, European Journal of Operational Research, Vol. 183 No. 3, pp. 1582-94.
    • (2007) European Journal of Operational Research , vol.183 , Issue.3 , pp. 1582-94
    • Banasik, J.1    Crook, J.2
  • 10
    • 33644806010 scopus 로고    scopus 로고
    • Economic benefit of powerful credit scoring
    • Blochlinger, A. and Leippold, M. (2006), Economic benefit of powerful credit scoring, Journal of Banking & Finance, Vol. 30 No. 3, pp. 851-73.
    • (2006) Journal of Banking & Finance , vol.30 , Issue.3 , pp. 851-73
    • Blochlinger, A.1    Leippold, M.2
  • 11
    • 13044262094 scopus 로고
    • An econometric analysis of the bank credit scoring problem
    • Boyes, W.J., Hoffman, D.L. and Low, S.A. (1989), An econometric analysis of the bank credit scoring problem, Journal of Econometrics, Vol. 40, pp. 3-14.
    • (1989) Journal of Econometrics , vol.40 , pp. 3-14
    • Boyes, W.J.1    Hoffman, D.L.2    Low, S.A.3
  • 12
    • 70350271815 scopus 로고    scopus 로고
    • Banking developments
    • Central Bank of Egypt
    • Central Bank of Egypt (2007), Banking developments, Economic Review, Vol. 47 No. 3, pp. 23-33.
    • (2007) Economic Review , vol.47 , Issue.3 , pp. 23-33
  • 13
    • 0037401347 scopus 로고    scopus 로고
    • Credit scoring and rejected instances reassigning through evolutionary computation techniques
    • Chen, M. and Huang, S. (2003), Credit scoring and rejected instances reassigning through evolutionary computation techniques, Expert Systems with Applications, Vol. 24 No. 4, pp. 433-41.
    • (2003) Expert Systems with Applications , vol.24 , Issue.4 , pp. 433-41
    • Chen, M.1    Huang, S.2
  • 14
    • 0030291564 scopus 로고    scopus 로고
    • A comparison of neural networks and linear scoring models in the credit union environment
    • Desai, V.S., Crook, J.N. and Overstreet, G.A. (1996), A comparison of neural networks and linear scoring models in the credit union environment, European Journal of Operational Research, Vol. 95 No. 1, pp. 24-37.
    • (1996) European Journal of Operational Research , vol.95 , Issue.1 , pp. 24-37
    • Desai, V.S.1    Crook, J.N.2    Overstreet, G.A.3
  • 15
    • 0034174102 scopus 로고    scopus 로고
    • On-line metal cutting tool condition monitoring II: Tool-state classification using multi-layer perceptron neural networks
    • Dimla, D.E. and Lister, P.M. (2000), On-line metal cutting tool condition monitoring II: tool-state classification using multi-layer perceptron neural networks, International Journal of Machine Tools and Manufacture, Vol. 40 No. 5, pp. 769-81.
    • (2000) International Journal of Machine Tools and Manufacture , vol.40 , Issue.5 , pp. 769-81
    • Dimla, D.E.1    Lister, P.M.2
  • 17
    • 0035281381 scopus 로고    scopus 로고
    • Classification accuracy in discriminant analysis: A mixed integer programming approach
    • Glen, J. (2001), Classification accuracy in discriminant analysis: a mixed integer programming approach, Journal of the Operational Research Society, Vol. 52 No. 3, pp. 328-39.
    • (2001) Journal of the Operational Research Society , vol.52 , Issue.3 , pp. 328-39
    • Glen, J.1
  • 18
    • 0039758355 scopus 로고    scopus 로고
    • Sample selection in credit scoring models
    • Greene, W. (1998), Sample selection in credit scoring models, Japan and the World Economy, Vol. 10 No. 3, pp. 299-316.
    • (1998) Japan and the World Economy , vol.10 , Issue.3 , pp. 299-316
    • Greene, W.1
  • 19
    • 0040453788 scopus 로고    scopus 로고
    • Statistical classification methods in consumer credit scoring: A review
    • Series A (Statistics in Society)
    • Hand, D.J. and Henley, W.E. (1997), Statistical classification methods in consumer credit scoring: a review, Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 160 No. 3, pp. 523-41.
    • (1997) Journal of the Royal Statistical Society , vol.160 , Issue.3 , pp. 523-41
    • Hand, D.J.1    Henley, W.E.2
  • 20
    • 17844382437 scopus 로고    scopus 로고
    • A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines
    • Lee, T. and Chen, I. (2005), A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines, Expert Systems with Applications, Vol. 28 No. 4, pp. 743-52.
    • (2005) Expert Systems with Applications , vol.28 , Issue.4 , pp. 743-52
    • Lee, T.1    Chen, I.2
  • 21
    • 0036776547 scopus 로고    scopus 로고
    • Credit scoring using the hybrid neural discriminant technique
    • Lee, T., Chiu, C., Lu, C. and Chen, I. (2002), Credit scoring using the hybrid neural discriminant technique, Expert Systems with Applications, Vol. 23 No. 3, pp. 245-54.
    • (2002) Expert Systems with Applications , vol.23 , Issue.3 , pp. 245-54
    • Lee, T.1    Chiu, C.2    Lu, C.3    Chen, I.4
  • 22
    • 45049087958 scopus 로고    scopus 로고
    • Corporate financial distress diagnosis inChina: Empirical analysis using credit scoring models
    • Liang, Q. (2003), Corporate financial distress diagnosis inChina: empirical analysis using credit scoring models, Hitotsubashi Journal of Commerce and Management, Vol. 38, pp. 13-28.
    • (2003) Hitotsubashi Journal of Commerce and Management , vol.38 , pp. 13-28
    • Liang, Q.1
  • 23
    • 33750432129 scopus 로고    scopus 로고
    • Cluster-based dynamic scoring model
    • Lim, M.K. and Sohn, S.Y. (2007), Cluster-based dynamic scoring model, Expert Systems with Applications, Vol. 32 No. 2, pp. 427-31.
    • (2007) Expert Systems with Applications , vol.32 , Issue.2 , pp. 427-31
    • Lim, M.K.1    Sohn, S.Y.2
  • 24
    • 0037397886 scopus 로고    scopus 로고
    • Evaluating consumer loans using neural networks
    • Malhotra, R. and Malhotra, D.K. (2003), Evaluating consumer loans using neural networks, Omega, Vol. 31 No. 2, pp. 83-96.
    • (2003) Omega , vol.31 , Issue.2 , pp. 83-96
    • Malhotra, R.1    Malhotra, D.K.2
  • 26
    • 0039133461 scopus 로고
    • Evaluation of bank consumer loans with credit scoring models
    • Orgler, Y.E. (1971), Evaluation of bank consumer loans with credit scoring models, Journal of Bank Research, Vol. 2 No. 1, pp. 31-7.
    • (1971) Journal of Bank Research , vol.2 , Issue.1 , pp. 31-7
    • Orgler, Y.E.1
  • 32
    • 22744447363 scopus 로고    scopus 로고
    • The impact of sample bias on consumer credit scoring performance and profitability
    • Verstraeten, G. and Van den Poel, D. (2005), The impact of sample bias on consumer credit scoring performance and profitability, Journal of the Operational Research Society, Vol. 56 No. 8, pp. 981-92.
    • (2005) Journal of the Operational Research Society , vol.56 , Issue.8 , pp. 981-92
    • Verstraeten, G.1    van den Poel, D.2
  • 33
    • 0034118581 scopus 로고    scopus 로고
    • Neural network credit scoring models
    • West, D. (2000), Neural network credit scoring models, Computers & Operations Research, Vol. 27, pp. 1131-52.
    • (2000) Computers & Operations Research , vol.27 , pp. 1131-52
    • West, D.1
  • 34
    • 14944350456 scopus 로고    scopus 로고
    • Small business credit scoring: A comparison of logistic regression, neural networks, and decision tree models
    • Proceedings of the 26th International Conference on Information Technology Interfaces, Croatia
    • Zekic-Susac, M., Sarlija, N. and Bensic, M. (2004), Small business credit scoring: a comparison of logistic regression, neural networks, and decision tree models, Proceedings of the 26th International Conference on Information Technology Interfaces, Croatia.
    • (2004)
    • Zekic-Susac, M.1    Sarlija, N.2    Bensic, M.3
  • 35
    • 0032640524 scopus 로고    scopus 로고
    • Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
    • Zhang, G., Hu, M.Y., Patuwo, B.E. and Indro, D.C. (1999), Artificial neural networks in bankruptcy prediction: general framework and cross-validation analysis, European Journal of Operational Research, Vol. 116 No. 1, pp. 16-32.
    • (1999) European Journal of Operational Research , vol.116 , Issue.1 , pp. 16-32
    • Zhang, G.1    Hu, M.Y.2    Patuwo, B.E.3    Indro, D.C.4
  • 37
    • 9244223578 scopus 로고    scopus 로고
    • Comparison of country risk models: Hybrid neural networks, logit models, discriminant analysis and cluster techniques
    • Yim, J. and Mitchell, H. (2005), Comparison of country risk models: hybrid neural networks, logit models, discriminant analysis and cluster techniques, Expert Systems with Applications, Vol. 28 No. 1, pp. 137-48.
    • (2005) Expert Systems with Applications , vol.28 , Issue.1 , pp. 137-48
    • Yim, J.1    Mitchell, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.