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Volumn 24, Issue 8, 2011, Pages 1380-1388

The random subspace binary logit (RSBL) model for bankruptcy prediction

Author keywords

Bankruptcy prediction; Corporate failure prediction; Group decision of predictive models; Multivariate discriminant analysis; Probit; Random subspace binary logit

Indexed keywords

BANKRUPTCY PREDICTION; CORPORATE FAILURE PREDICTION; GROUP DECISION; MULTIVARIATE DISCRIMINANT ANALYSIS; PROBIT; RANDOM SUBSPACES;

EID: 80051469759     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.06.015     Document Type: Article
Times cited : (48)

References (41)
  • 1
    • 84980104458 scopus 로고
    • Financial ratios discriminant analysis and the prediction of corporate bankruptcy
    • E.I. Altman Financial ratios discriminant analysis and the prediction of corporate bankruptcy The Journal of Finance 23 4 1968 589 609
    • (1968) The Journal of Finance , vol.23 , Issue.4 , pp. 589-609
    • Altman, E.I.1
  • 2
    • 33144462955 scopus 로고    scopus 로고
    • 35 years of studies on business failure: An overview of the classical statistical methodologies and their related problems
    • S. Balcaen, and H. Ooghe 35 years of studies on business failure: an overview of the classical statistical methodologies and their related problems The British Accounting Review 38 2006 63 93
    • (2006) The British Accounting Review , vol.38 , pp. 63-93
    • Balcaen, S.1    Ooghe, H.2
  • 3
    • 0002554419 scopus 로고
    • Financial ratios predictors of failure
    • W. Beaver Financial ratios predictors of failure Journal of Accounting Research 4 1966 71 111
    • (1966) Journal of Accounting Research , vol.4 , pp. 71-111
    • Beaver, W.1
  • 5
    • 37049214786 scopus 로고
    • The method of probits
    • C.I. Bliss The method of probits Science 79 1934 409 410
    • (1934) Science , vol.79 , pp. 409-410
    • Bliss, C.I.1
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Machine Learning 24 1996 123 140
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 7
  • 8
  • 9
    • 77955419869 scopus 로고    scopus 로고
    • MISMIS - A comprehensive decision support system for stock market investment
    • V. Cho MISMIS - a comprehensive decision support system for stock market investment Knowledge-Based Systems 23 6 2010 626 633
    • (2010) Knowledge-Based Systems , vol.23 , Issue.6 , pp. 626-633
    • Cho, V.1
  • 11
    • 70349171833 scopus 로고    scopus 로고
    • Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies
    • W. Hardle, Y. Lee, and D. Schafer Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies Journal of Forecasting 28 6 2009 512 534
    • (2009) Journal of Forecasting , vol.28 , Issue.6 , pp. 512-534
    • Hardle, W.1    Lee, Y.2    Schafer, D.3
  • 14
    • 73949152480 scopus 로고    scopus 로고
    • Retail default prediction by using sequential minimal optimization technique
    • Y. Hu, and J. Ansell Retail default prediction by using sequential minimal optimization technique Journal of Forecasting 28 8 2009 651 666
    • (2009) Journal of Forecasting , vol.28 , Issue.8 , pp. 651-666
    • Hu, Y.1    Ansell, J.2
  • 15
    • 34548423990 scopus 로고    scopus 로고
    • A semiparametric method for predicting bankruptcy
    • R. Hwang, K. Cheng, and J. Lee A semiparametric method for predicting bankruptcy Journal of Forecasting 26 5 2010 317 342
    • (2010) Journal of Forecasting , vol.26 , Issue.5 , pp. 317-342
    • Hwang, R.1    Cheng, K.2    Lee, J.3
  • 16
    • 8744229924 scopus 로고    scopus 로고
    • Predicting firm financial distress: A mixed logit model
    • S. Jones, and D.A. Hensher Predicting firm financial distress: a mixed logit model Accounting Review 79 4 2004 1011 1038
    • (2004) Accounting Review , vol.79 , Issue.4 , pp. 1011-1038
    • Jones, S.1    Hensher, D.A.2
  • 17
    • 84978596402 scopus 로고
    • Non-financial symptoms and the prediction of small company failure: Atest of Argenti's hypotheses
    • K. Keasey, and R. Watson Non-financial symptoms and the prediction of small company failure: Atest of Argenti's hypotheses Journal of Business Finance and Accounting 14 3 1987 335 354
    • (1987) Journal of Business Finance and Accounting , vol.14 , Issue.3 , pp. 335-354
    • Keasey, K.1    Watson, R.2
  • 18
    • 0002266472 scopus 로고
    • Multilogit approach to predicting corporate failure - Further analysis and the issue of signal consistency
    • K. Keasey, P. McGuiness, and H. Short Multilogit approach to predicting corporate failure - further analysis and the issue of signal consistency Omega 18 1 1990 85 94
    • (1990) Omega , vol.18 , Issue.1 , pp. 85-94
    • Keasey, K.1    McGuiness, P.2    Short, H.3
  • 19
    • 33846314346 scopus 로고    scopus 로고
    • Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review
    • P.R. Kumar, and V. Ravi Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review European Journal of Operational Research 180 2007 1 28
    • (2007) European Journal of Operational Research , vol.180 , pp. 1-28
    • Kumar, P.R.1    Ravi, V.2
  • 21
    • 0031238275 scopus 로고    scopus 로고
    • Application of majority voting to pattern recognition: An analysis of its behavior and performance
    • L. Lam, and C.Y. Suen Application of majority voting to pattern recognition: an analysis of its behavior and performance IEEE Transaction on Systems, Man, and Cybernetics 27 1997 553 568
    • (1997) IEEE Transaction on Systems, Man, and Cybernetics , vol.27 , pp. 553-568
    • Lam, L.1    Suen, C.Y.2
  • 22
    • 54949111332 scopus 로고    scopus 로고
    • Ranking-order case-based reasoning for financial distress prediction
    • H. Li, and J. Sun Ranking-order case-based reasoning for financial distress prediction Knowledge-Based Systems 21 8 2008 868 878
    • (2008) Knowledge-Based Systems , vol.21 , Issue.8 , pp. 868-878
    • Li, H.1    Sun, J.2
  • 23
    • 77954908396 scopus 로고    scopus 로고
    • Forecasting business failure in China using case-based reasoning with hybrid case representation
    • H. Li, and J. Sun Forecasting business failure in China using case-based reasoning with hybrid case representation Journal of Forecasting 29 5 2010 486 501
    • (2010) Journal of Forecasting , vol.29 , Issue.5 , pp. 486-501
    • Li, H.1    Sun, J.2
  • 25
    • 49349134343 scopus 로고
    • Early warning of bank failure: A logit regression approach
    • D. Martin Early warning of bank failure: a logit regression approach Journal of Banking and Finance 1 1977 249 276
    • (1977) Journal of Banking and Finance , vol.1 , pp. 249-276
    • Martin, D.1
  • 26
    • 0348197047 scopus 로고    scopus 로고
    • Rough sets bankruptcy prediction models versus auditor signaling rates
    • T.E. McKee Rough sets bankruptcy prediction models versus auditor signaling rates Journal of Forecasting 22 8 2003 569 586
    • (2003) Journal of Forecasting , vol.22 , Issue.8 , pp. 569-586
    • McKee, T.E.1
  • 27
    • 0004449990 scopus 로고    scopus 로고
    • Predicting bankruptcy using recursive partitioning and a realistically proportioned data set
    • T.E. McKee, and M. Greenstein Predicting bankruptcy using recursive partitioning and a realistically proportioned data set Journal of Forecasting 19 3 2000 219 230
    • (2000) Journal of Forecasting , vol.19 , Issue.3 , pp. 219-230
    • McKee, T.E.1    Greenstein, M.2
  • 28
    • 52649087846 scopus 로고    scopus 로고
    • Bankruptcy prediction using a discrete-time duration model incorporating temporal and macroeconomic dependencies
    • C. Nam, T. Kim, and N. Park Bankruptcy prediction using a discrete-time duration model incorporating temporal and macroeconomic dependencies Journal of Forecasting 27 6 2008 493 506
    • (2008) Journal of Forecasting , vol.27 , Issue.6 , pp. 493-506
    • Nam, C.1    Kim, T.2    Park, N.3
  • 29
    • 0000666375 scopus 로고
    • Financial ratios and the probabilistic prediction of bankruptcy
    • J. Ohlson Financial ratios and the probabilistic prediction of bankruptcy Journal of Accounting Research 18 1 1980 109 131
    • (1980) Journal of Accounting Research , vol.18 , Issue.1 , pp. 109-131
    • Ohlson, J.1
  • 30
    • 0032141735 scopus 로고    scopus 로고
    • Knowledge acquisition from multiple experts: An empirical study
    • D.E. O'Leary Knowledge acquisition from multiple experts: an empirical study Management Science 44 1998 1049 1058
    • (1998) Management Science , vol.44 , pp. 1049-1058
    • O'Leary, D.E.1
  • 31
    • 67349161370 scopus 로고    scopus 로고
    • A variable selection method based on tabu search for logistic regression models
    • J. Pacheco, S. Casado, and L. Nunez A variable selection method based on tabu search for logistic regression models European Journal of Operational Research 199 2 2009 506 511
    • (2009) European Journal of Operational Research , vol.199 , Issue.2 , pp. 506-511
    • Pacheco, J.1    Casado, S.2    Nunez, L.3
  • 33
    • 78650819842 scopus 로고    scopus 로고
    • A support vector machine-based model for detecting top management fraud
    • P.F. Pai, M.F. Hsu, and M.C. Wang A support vector machine-based model for detecting top management fraud Knowledge-Based Systems 24 2 2011 314 321
    • (2011) Knowledge-Based Systems , vol.24 , Issue.2 , pp. 314-321
    • Pai, P.F.1    Hsu, M.F.2    Wang, M.C.3
  • 34
    • 77956344036 scopus 로고    scopus 로고
    • Financial distress prediction in banks using group method of data handling neural network, counter propagation neural network and fuzzy ARTMAP
    • P. Ravisankar, and V. Ravi Financial distress prediction in banks using group method of data handling neural network, counter propagation neural network and fuzzy ARTMAP Knowledge-Based Systems 23 8 2010 823 831
    • (2010) Knowledge-Based Systems , vol.23 , Issue.8 , pp. 823-831
    • Ravisankar, P.1    Ravi, V.2
  • 36
    • 41749100893 scopus 로고    scopus 로고
    • Data mining method for listed companies' financial distress prediction
    • J. Sun, and H. Li Data mining method for listed companies' financial distress prediction Knowledge-Based Systems 21 1 2008 1 5
    • (2008) Knowledge-Based Systems , vol.21 , Issue.1 , pp. 1-5
    • Sun, J.1    Li, H.2
  • 37
    • 60249097469 scopus 로고    scopus 로고
    • Financial distress prediction based on serial combination of multiple classifiers
    • J. Sun, and H. Li Financial distress prediction based on serial combination of multiple classifiers Expert Systems with Applications 36 4 2009 8659 8666
    • (2009) Expert Systems with Applications , vol.36 , Issue.4 , pp. 8659-8666
    • Sun, J.1    Li, H.2
  • 38
    • 59349101361 scopus 로고    scopus 로고
    • Feature selection in bankruptcy prediction
    • C.F. Tsai Feature selection in bankruptcy prediction Knowledge-Based Systems 22 2 2009 120 127
    • (2009) Knowledge-Based Systems , vol.22 , Issue.2 , pp. 120-127
    • Tsai, C.F.1
  • 39
    • 8744310100 scopus 로고    scopus 로고
    • A quadratic interval logit model for forecasting bankruptcy
    • F.M. Tseng, and L. Lin A quadratic interval logit model for forecasting bankruptcy Omega 33 2005 85 91
    • (2005) Omega , vol.33 , pp. 85-91
    • Tseng, F.M.1    Lin, L.2
  • 40
    • 70449532144 scopus 로고    scopus 로고
    • Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks
    • F.M. Tseng, and Y.C. Hu Comparing four bankruptcy prediction models: logit, quadratic interval logit, neural and fuzzy neural networks Expert Systems with Applications 37 3 2010 1846 1853
    • (2010) Expert Systems with Applications , vol.37 , Issue.3 , pp. 1846-1853
    • Tseng, F.M.1    Hu, Y.C.2
  • 41
    • 13544268431 scopus 로고    scopus 로고
    • Neural network ensemble strategies for financial decision applications
    • D. West, S. Dellana, and J. Qian Neural network ensemble strategies for financial decision applications Computers and Operations Research 32 2005 2543 2559
    • (2005) Computers and Operations Research , vol.32 , pp. 2543-2559
    • West, D.1    Dellana, S.2    Qian, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.