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Volumn 11, Issue 4 SPEC. ISS., 1996, Pages 407-413

Neural networks and genetic algorithms for bankruptcy predictions

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; FINANCE; FINANCIAL DATA PROCESSING; FORECASTING; GENETIC ALGORITHMS;

EID: 0030407801     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0957-4174(96)00055-3     Document Type: Article
Times cited : (135)

References (25)
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    • Altman, E.1
  • 2
    • 7944229970 scopus 로고
    • ZETA analysis: A new model to identify bankruptcy risk of corporations
    • Altman, E., Haldeman, R. & Narayanan, P. (1977). ZETA analysis: A new model to identify bankruptcy risk of corporations. Journal of Banking and Finance, (June), 29-54.
    • (1977) Journal of Banking and Finance , Issue.JUNE , pp. 29-54
    • Altman, E.1    Haldeman, R.2    Narayanan, P.3
  • 4
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    • Neural networks and bankruptcy prediction: Funds flows accrual ratios and accounting data
    • In press
    • Back, B., Laitinen, T. & Sere, K. (1996). Neural networks and bankruptcy prediction: Funds flows accrual ratios and accounting data. Advances in Accounting. In press.
    • (1996) Advances in Accounting
    • Back, B.1    Laitinen, T.2    Sere, K.3
  • 5
    • 0039865037 scopus 로고
    • Central Statistical Office in Finland
    • Bankruptcy Bulletin (1989). Central Statistical Office in Finland (2)
    • (1989) Bankruptcy Bulletin , Issue.2
  • 6
    • 0002554419 scopus 로고
    • Financial ratios as predictors of failure
    • Beaver, W. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 5(Suppl.), 71-111.
    • (1966) Journal of Accounting Research , vol.5 , Issue.SUPPL. , pp. 71-111
    • Beaver, W.1
  • 7
    • 0001835543 scopus 로고
    • Failing company discriminant analysis
    • Blum, M. (1974). Failing company discriminant analysis. Journal of Accounting Research, (Spring), 1-25.
    • (1974) Journal of Accounting Research , Issue.SPRING , pp. 1-25
    • Blum, M.1
  • 8
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    • A discriminant analysis of predictors of business failure
    • Deakin, E. (1974). A discriminant analysis of predictors of business failure. Journal of Accounting Research, (Spring), 167-179.
    • (1974) Journal of Accounting Research , Issue.SPRING , pp. 167-179
    • Deakin, E.1
  • 9
    • 84974012882 scopus 로고
    • An empirical test of financial ratio analysis for small business failure prediction
    • Edminster, R. (1972). An empirical test of financial ratio analysis for small business failure prediction. Journal of Financial and Quantitative Analysis, 7, 1477-1493.
    • (1972) Journal of Financial and Quantitative Analysis , vol.7 , pp. 1477-1493
    • Edminster, R.1
  • 10
    • 84978584844 scopus 로고
    • The significance of base year in developing failure prediction models
    • El Hennawy, R. & Morris, R. (1983). The significance of base year in developing failure prediction models. Journal of Business Finance and Accounting, (Summer), 209-223.
    • (1983) Journal of Business Finance and Accounting , Issue.SUMMER , pp. 209-223
    • El Hennawy, R.1    Morris, R.2
  • 19
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    • A demonstration of ratio analysis
    • University of Illinois, Bureau of Business Research, Urbana, IL
    • Ramser, J. & Foster, L. (1931). A demonstration of ratio analysis. Bulletin No. 40, University of Illinois, Bureau of Business Research, Urbana, IL.
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    • Ramser, J.1    Foster, L.2
  • 20
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    • Artificial neural networks in financial statement analysis: Ratios versus accounting data
    • Turku, Finland, 28-30 April
    • Serrano-Cinca, C., Martin, B. & Gallizo, J. (1993). Artificial neural networks in financial statement analysis: Ratios versus accounting data. Paper presented at the 16th Annual Congress of the European Accounting Association, Turku, Finland, 28-30 April.
    • (1993) 16th Annual Congress of the European Accounting Association
    • Serrano-Cinca, C.1    Martin, B.2    Gallizo, J.3
  • 21
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    • Forecasting company failure in the UK using discriminant analysis and financial ratio data
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    • Taffler, R.1
  • 22
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    • Managerial applications of neural networks: The case of bank failure predictions
    • Tam, K. Y. & Kiang, M. Y. (1992). Managerial applications of neural networks: the case of bank failure predictions. Management Science, 38, 926-947.
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    • Tam, K.Y.1    Kiang, M.Y.2
  • 24
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    • Bankruptcy prediction using neural networks
    • Wilson, R. L. & Sharda, R. (1994). Bankruptcy prediction using neural networks. Decision Support Systems, 11, 545-557.
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    • Wilson, R.L.1    Sharda, R.2
  • 25
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    • Winakor, A. & Smith, R. (1935). Changes in the financial structure of unsuccessful industrial corporations. Bulletin No. 51, University of Illinois, Bureau of Business Research, Urbana, IL.
    • (1935) Bulletin No. 51 , vol.51
    • Winakor, A.1    Smith, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.