A neural network approach to the prediction of going concern status

References

• Altman , E. I. 1982 . Accounting implications of failure prediction models . Journal of Accounting, Auditing and Finance , 6 September : 4 – 19 .
   Google Scholar
• Altman , E. I. and McGough , T. P. 1974 . Evaluation of a company as a going concern . Journal of Accountancy , December : 50 – 57 .
   Web of Science ®Google Scholar
• Altman , E. I. , Marco , G. and Varetto , F. 1994 . Corporate distress diagnosis: comparisons using linear discriminant analysis and neural networks (the Italian experience) . Journal of Banking and Finance , 23 ( No. 4 ) 589 – 609 .
   Google Scholar
• American Institute of Certified Public Accountants . 1988 . The auditor's consideration of an entity's ability to continue in existence Statement on Auditing Standards No. 59 , New York : AICPA .
   Google Scholar
• Bosch , P. J. 1984 . A definition of the going concern concept . Accountancy SA , February : 237 – 40 .
   Google Scholar
• Canadian Institute of Chartered Accountants . 1996 . ‘Going concern (exposure draft)’ . CA Magazine , 129 March : ED1 – ED4 .
   Google Scholar
• Chen , K. C. W. and Church , B. K. 1996 . Going concern opinions and the market's reaction to bankruptcy filings . Accounting Review , 71 January : 117 – 128 .
   Web of Science ®Google Scholar
• Coats , P. and Fant , F. 1993 . Recognizing financial distress patterns using a neural network tool . Financial Management , 22 ( 3 ) 142 – 165 .
   Web of Science ®Google Scholar
• Denton , J. W. , Hung , M. S. and Osyk . 1990 . A neural network approach to the classification problem . Expert Systems with Applications , 1 417 – 424 .
   Google Scholar
• Dopuch , N. , Holthausen , R. W. and Leftwich , R. W. 1987 . Predicting audit qualifications with financial and market variables . Accounting Review , July : 431 – 54 .
   Web of Science ®Google Scholar
• Goodman , B. , Braunstein , D. N. , Reinstein , A. and Gregory , G. W. 1995 . Explaining auditors' going concern decisions: assessing management's capability . Journal of Applied Business Research , II Summer : 82 – 93 .
   Google Scholar
• Hart , A. 1992 . Using neural networks for classification tasks—some experiments on datasets and practical advice . Journal of the Operational Research Society , 43 ( 3 ) 215 – 226 .
   Web of Science ®Google Scholar
• Koh , H. C. 1991 . Model predictions and auditor assessments of going concern status . Accounting and Business Research , Autumn : 331 – 338 .
   Google Scholar
• Koh , H. C. and Brown , R. M. 1991 . Probit predictions of going and non-going concerns . Managerial Auditing Journal , 6 ( 3 ) 18 – 23 .
   Google Scholar
• Koh , H. C. and Killough , L. N. 1988 . Proposed statement on auditing standards: the auditor's consideration of an entity's ability to continue existence . Virginia Accountant Quarterly , March : 24 – 26 .
   Google Scholar
• Koh , H. C. and Killough , L. N. 1990 . The use of multiple discriminant analysis in the assessment of the going concern status of an audit client . Journal of Business Finance & Accounting , Spring : 179 – 192 .
   Google Scholar
• LaSalle , R. E. and Anandarjan , A. 1996 . Auditors' views on the type of audit reports issued to entities with going concern uncertainties . Accounting Horizon , 10 June : 51 – 72 .
   Google Scholar
• LaSalle , R. E. , Anandarjan , A. and Miller , A. F. 1996 . Going concern uncertainties: disclaimer of opinion versus unqualified opinion with modified wording . Auditing: A Journal of Practice & Theory , 15 Fall : 29 – 18 .
   Web of Science ®Google Scholar
• Levitan , A. S. and Knoblett , J. A. 1985 . Indicators of exceptions to the going concern assumption . Auditing: A Journal of Practice and Theory, 4 , Fall : 26 – 39 .
   Google Scholar
• Menon , K. and Schwartz , K. B. 1986 . The auditor's report for companies facing bankruptcy . Journal of Commercial Bank Lending , January : 42 – 52 .
   Google Scholar
• Menon , K. and Schwartz , K. B. 1987 . An empirical investigation of audit qualification decisions in the presence of going concern uncertainties . Contemporary Accounting Research , Spring : 302 – 15 .
   Google Scholar
• New Zealand Society of Accountants . 1995 . Going concern (auditing standard no. 11) . in Chartered Accountants Journal New Zealand , 74 July : 86 – 93 .
   Google Scholar
• Raghunandan , K. and Rama , D. V. 1995 . Audit reports for companies in financial distress: before and after SAS no. 59 . Auditing: A Journal of Practice & Theory , 14 Spring : 50 – 63 .
   Web of Science ®Google Scholar
• Taffler , R. J. and Tseung , M. July 1984 . “ The audit going concern qualification in practice—exploding some myths ” . In Accountant's Magazine July , 263 – 269 . Scotland
   Google Scholar
• Trigueiros , D. and Taffler , R. 1996 . Neural networks and empirical research in accounting . Accounting and Business Research , 26 ( No. 4 ) 347 – 355 .
   Google Scholar
• Yoon , Y. , Swales , G. and Margavio , T. 1993 . A comparison of discriminant analysis versus artificial neural networks . Journal of the Operational Research Society , 44 ( 1 ) 51 – 60 .
   Web of Science ®Google Scholar
• Zavgren , C. V. 1983 . The prediction of corporate failure: the state of the art . Journal of Accounting Literature , 2 1 – 38 .
   Google Scholar