메뉴 건너뛰기




Volumn 23, Issue 3-4, 2013, Pages 927-936

Prediction of bankruptcy Iranian corporations through artificial neural network and Probit-based analyses

Author keywords

Artificial neural networks; Bankruptcy prediction; Financial ratios; Probit analysis

Indexed keywords

BANKRUPTCY PREDICTION; BETTER PERFORMANCE; CLASSIFICATION ACCURACY; COMPARATIVE STUDIES; FINANCIAL RATIOS; MULTI LAYER PERCEPTRON; PREDICTION OF BANKRUPTCY; PROBIT ANALYSIS;

EID: 84884595436     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1017-z     Document Type: Article
Times cited : (31)

References (34)
  • 1
    • 79960229286 scopus 로고    scopus 로고
    • Towards the prediction of business failure via computational intelligence techniques
    • Divsalar M, Firouzabadi AK, Sadeghi M, Behrooz AH (2011) Towards the prediction of business failure via computational intelligence techniques. Expert Syst 28: 209-226.
    • (2011) Expert Syst , vol.28 , pp. 209-226
    • Divsalar, M.1    Firouzabadi, A.K.2    Sadeghi, M.3    Behrooz, A.H.4
  • 2
    • 84980104458 scopus 로고
    • Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
    • Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Finance 23(4): 589-609.
    • (1968) J Finance , vol.23 , Issue.4 , pp. 589-609
    • Altman, E.I.1
  • 3
    • 0000666375 scopus 로고
    • Financial ratios and the probabilistic prediction of bankruptcy
    • Ohlson J (1980) Financial ratios and the probabilistic prediction of bankruptcy. J Account Res 18(1): 109-131.
    • (1980) J Account Res , vol.18 , Issue.1 , pp. 109-131
    • Ohlson, J.1
  • 4
    • 0037351640 scopus 로고    scopus 로고
    • A logistic analysis of bankruptcy within the US local telecommunications industry
    • Foreman RD (2002) A logistic analysis of bankruptcy within the US local telecommunications industry. J Econ Bus 55(2): 135-166.
    • (2002) J Econ Bus , vol.55 , Issue.2 , pp. 135-166
    • Foreman, R.D.1
  • 5
    • 84978567741 scopus 로고
    • Assessing the vulnerability to failure of American industrial firms: a logistic analysis
    • Zavgren CV (1985) Assessing the vulnerability to failure of American industrial firms: a logistic analysis. J Bank Finance 12(1): 19-45.
    • (1985) J Bank Finance , vol.12 , Issue.1 , pp. 19-45
    • Zavgren, C.V.1
  • 6
    • 0002520294 scopus 로고
    • Discriminating between reorganized and liquidated firms in bankruptcy
    • Casey M, Gee Mc, Stinkey C (1986) Discriminating between reorganized and liquidated firms in bankruptcy. Account Rev 61(2): 249-262.
    • (1986) Account Rev , vol.61 , Issue.2 , pp. 249-262
    • Casey, M.1    Mc, G.2    Stinkey, C.3
  • 7
    • 0042277514 scopus 로고
    • Alternative models for assessing the financial condition of business in Greece
    • Theodossiou PT (1991) Alternative models for assessing the financial condition of business in Greece. J Bus Finance Account 18(5): 697-720.
    • (1991) J Bus Finance Account , vol.18 , Issue.5 , pp. 697-720
    • Theodossiou, P.T.1
  • 8
    • 0000736992 scopus 로고
    • Tradeoffs in the choice between Logit and OLS for accounting choice studies
    • Stone M, Rasp J (1991) Tradeoffs in the choice between Logit and OLS for accounting choice studies. Account Rev 1: 170-178.
    • (1991) Account Rev , vol.1 , pp. 170-178
    • Stone, M.1    Rasp, J.2
  • 9
    • 0039728134 scopus 로고
    • The significance of financial characteristics in predicting business failure: an analysis in the Greek context
    • Vranas AS (1992) The significance of financial characteristics in predicting business failure: an analysis in the Greek context. Found Comput Decis Sci 17(4): 257-275.
    • (1992) Found Comput Decis Sci , vol.17 , Issue.4 , pp. 257-275
    • Vranas, A.S.1
  • 11
    • 0036776357 scopus 로고    scopus 로고
    • A genetic algorithm application in bankruptcy prediction modeling
    • Shin K, Lee Y (2002) A genetic algorithm application in bankruptcy prediction modeling. Expert Syst Appl 23(3): 321-328.
    • (2002) Expert Syst Appl , vol.23 , Issue.3 , pp. 321-328
    • Shin, K.1    Lee, Y.2
  • 12
    • 0007687443 scopus 로고    scopus 로고
    • Genetic algorithms applications in the analysis of insolvency risk
    • Varetto F (1998) Genetic algorithms applications in the analysis of insolvency risk. J Bank Finance 22: 1421-1439.
    • (1998) J Bank Finance , vol.22 , pp. 1421-1439
    • Varetto, F.1
  • 13
    • 0012744384 scopus 로고    scopus 로고
    • Predicting corporate financial distress: a time-series CUSUM methodology
    • Ossiou P (1999) Predicting corporate financial distress: a time-series CUSUM methodology. Rev Quant Finance Account 13: 323-345.
    • (1999) Rev Quant Finance Account , vol.13 , pp. 323-345
    • Ossiou, P.1
  • 14
    • 0036776641 scopus 로고    scopus 로고
    • A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction
    • Park C, Han I (2002) A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction. Expert Syst Appl 23(3): 225-264.
    • (2002) Expert Syst Appl , vol.23 , Issue.3 , pp. 225-264
    • Park, C.1    Han, I.2
  • 16
    • 0037117685 scopus 로고    scopus 로고
    • Genetic programming and rough sets: a hybrid approach to bankruptcy classification
    • McKee TE, Lensberg T (2002) Genetic programming and rough sets: a hybrid approach to bankruptcy classification. Eur J Oper Res 138: 436-451.
    • (2002) Eur J Oper Res , vol.138 , pp. 436-451
    • McKee, T.E.1    Lensberg, T.2
  • 17
    • 17844363481 scopus 로고    scopus 로고
    • Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
    • Min JH, Lee YC (2005) Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Syst Appl 28: 603-614.
    • (2005) Expert Syst Appl , vol.28 , pp. 603-614
    • Min, J.H.1    Lee, Y.C.2
  • 19
    • 0030143666 scopus 로고    scopus 로고
    • A survey of business failure with an emphasis on prediction methods and industrial application
    • Dimitras A, Zanakis I, Zopounidis C (1996) A survey of business failure with an emphasis on prediction methods and industrial application. Eur J Oper Res 90: 487-513.
    • (1996) Eur J Oper Res , vol.90 , pp. 487-513
    • Dimitras, A.1    Zanakis, I.2    Zopounidis, C.3
  • 20
    • 0000641011 scopus 로고
    • Current techniques in bankruptcy prediction
    • Jones FL (1987) Current techniques in bankruptcy prediction. J Account Lit 6: 131-164.
    • (1987) J Account Lit , vol.6 , pp. 131-164
    • Jones, F.L.1
  • 21
    • 33846314346 scopus 로고    scopus 로고
    • Bankruptcy prediction in banks and firms via statistical and intelligent techniques-a review
    • Kumar PR, Ravi V (2007) Bankruptcy prediction in banks and firms via statistical and intelligent techniques-a review. Eur J Oper Res 180(1): 1-28.
    • (2007) Eur J Oper Res , vol.180 , Issue.1 , pp. 1-28
    • Kumar, P.R.1    Ravi, V.2
  • 23
    • 0031199479 scopus 로고    scopus 로고
    • Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis
    • Jo H, Han I, Lee H (1997) Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis. Expert Syst Appl 13(2): 97-108.
    • (1997) Expert Syst Appl , vol.13 , Issue.2 , pp. 97-108
    • Jo, H.1    Han, I.2    Lee, H.3
  • 24
    • 60249090307 scopus 로고    scopus 로고
    • Differential evolution trained wavelet neural networks: application to bankruptcy prediction in banks
    • Chauhan N, Ravi V, Chandra DK (2009) Differential evolution trained wavelet neural networks: application to bankruptcy prediction in banks. Expert Syst Appl 36(4): 7659-7665.
    • (2009) Expert Syst Appl , vol.36 , Issue.4 , pp. 7659-7665
    • Chauhan, N.1    Ravi, V.2    Chandra, D.K.3
  • 25
    • 70449532144 scopus 로고    scopus 로고
    • Comparing four bankruptcy prediction models: logit, quadratic interval logit, neural and fuzzy neural networks
    • Tseng FM, Hu YC (2010) Comparing four bankruptcy prediction models: logit, quadratic interval logit, neural and fuzzy neural networks. Expert Syst Appl 37: 1846-1853.
    • (2010) Expert Syst Appl , vol.37 , pp. 1846-1853
    • Tseng, F.M.1    Hu, Y.C.2
  • 26
    • 80055054635 scopus 로고    scopus 로고
    • Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing
    • Alavi AH, Gandomi AH (2011) Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing. Comput Struct 89(23-24): 2176-2194.
    • (2011) Comput Struct , vol.89 , Issue.23-24 , pp. 2176-2194
    • Alavi, A.H.1    Gandomi, A.H.2
  • 27
    • 77953908575 scopus 로고    scopus 로고
    • Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks
    • Alavi AH, Gandomi AH, Mollahasani A, Heshmati AAR, Rashed A (2010) Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks. J Plant Nutr Soil Sci 173(3): 368-379.
    • (2010) J Plant Nutr Soil Sci , vol.173 , Issue.3 , pp. 368-379
    • Alavi, A.H.1    Gandomi, A.H.2    Mollahasani, A.3    Heshmati, A.A.R.4    Rashed, A.5
  • 28
    • 0024861871 scopus 로고
    • Approximations by superpositions of a sigmoidal function
    • Cybenko J (1989) Approximations by superpositions of a sigmoidal function. Math Control Signals Syst 2: 303-314.
    • (1989) Math Control Signals Syst , vol.2 , pp. 303-314
    • Cybenko, J.1
  • 29
    • 79955683058 scopus 로고    scopus 로고
    • A Robust data mining approach for formulation of geotechnical engineering systems
    • Alavi AH, Gandomi AH (2011) A Robust data mining approach for formulation of geotechnical engineering systems. Eng Comput 28(3): 242-274.
    • (2011) Eng Comput , vol.28 , Issue.3 , pp. 242-274
    • Alavi, A.H.1    Gandomi, A.H.2
  • 30
    • 84862648743 scopus 로고    scopus 로고
    • Energy-based models for assessment of soil liquefaction
    • Alavi AH, Gandomi AH (2011) Energy-based models for assessment of soil liquefaction. Geosci Front 3(4): 541-555.
    • (2011) Geosci Front , vol.3 , Issue.4 , pp. 541-555
    • Alavi, A.H.1    Gandomi, A.H.2
  • 32
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • MIT Press, Cambridge, MA
    • Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representations by error propagation. In Parallel Distributed Processing. MIT Press, Cambridge, MA 1(8): 318-362.
    • (1986) Parallel Distributed Processing , vol.1 , Issue.8 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 34
    • 0001867238 scopus 로고
    • Interpreting neural-network connection weights
    • Garson GD (1991) Interpreting neural-network connection weights. Artif Intell Expert 6(7): 47-51.
    • (1991) Artif Intell Expert , vol.6 , Issue.7 , pp. 47-51
    • Garson, G.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.