Predicting going concern audit qualification using neural networks

Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007

Volumn 1, Issue , 2007, Pages 199-204

  Thompson, Doreen ^a   Thompson, Sandra ^b   Brabazon, Anthony ^c  

^a Ernst and Young   (Ireland)

^b PwC   (Ireland)

^c UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Multi layer perceptron; Prediction of going concern qualification

Indexed keywords

AUDIT REPORTS; DEGREE OF ACCURACY; GOING CONCERN; MULTI LAYER PERCEPTRON; TRAINING SETS;

ARTIFICIAL INTELLIGENCE; INDUSTRY;

MANAGEMENT;

EID: 84866501861     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Altman, E. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy, Journal of Finance, 23:589-609.
2. Altman, E. (1993). Corporate Financial Distress and Bankruptcy, New York: John Wiley and Sons Inc.
3. Beaver, W. (1966). Financial Ratios as Predictors of Failure, Journal of Accounting Research (Supplement), pp. 71-127.
4. Bell, T.B. and Tabor, R.H. (1991). Empirical Analysis of Audit Uncertainty Qualifications, Journal of Accounting Research, 29(2):350-370.
5. Brabazon, A. and O'Neill. M. (2006). Biologically-inspired algorithms for financial modelling, Berlin: Springer.
6. Brabazon, A. and O'Neill, M. (2006). Credit Classification Using Grammatical Evolution, Informatica, 30:325-335. (Pubitemid 44860834)
7. Bryan, D., Tiras S.L. and Wheatley, CM. (2005). Do Going Concern Opinions Serve as Early Warnings of Financial Collapse, www.scholar.google.com.
8. Chow, C. W., and Rice, S. J. (1982). Qualified Audit Opinions and Audit Switching, The Accounting Review, Vol LVII(2):326-335.
9. Citron D.B., and Taffler R.J. (2001). Ethical Behaviour in the UK Audit Profession: The Case of the Self Fulfilling Under Going-Concern Uncertainties, Journal of Business Ethics, 29(4):353-364.
10. Cosserat, G.W. (2004). Modern Auditing, 2nd ed. London: John Wiley & Sons Ltd.
11. Dopuch, N., Holthausen, R.W., and Leftwich R.W. (1987). Predicting Audit Qualifications with Financial and Market Variables, The Accounting Review, LXII(3):431-454.
12. Hair, J., Anderson, R., Tatham, R. and Black, W. (1998). Multivariate Data Analysis, Upper Saddle River, New Jersey: Prentice Hall.
13. Holland, John H. (1975). Adaptation in Natural and Artificial Systems, Michigan: University of Michigan Press.
14. Koza, J. (1992). Genetic Programming, Massachusetts: MIT Press.
15. O'Neill, M. and Ryan, C. (2003). Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language, Boston: Kluwer Academic Publishers.
16. Mutchler, J.F. (1985). A Multivariate Analysis of the Auditor's Going-Concern Opinion Decision, Journal of Accounting Research, 23(2):668-682.
17. Mutchler, J., Hopwood, W., and McKeown, J. (1997). The Influence of Contrary Information and Mitigating Factors on Auditor Opinion Decisions on Bankrupt Companies, Journal of Accounting Research, 35(2):295-310.
18. Thornton W. and Brabazon A. (2005). 'Prediction of Auditors' Going Concern Opinions, Proceedings of the IAFA Annual Conference, University of Limerick: 14/15 April 2005.