Multicriteria decision support methodologies for auditing decisions: The case of qualified audit reports in the UK

European Journal of Operational Research

Volumn 180, Issue 3, 2007, Pages 1317-1330

  Pasiouras, Fotios ^a,b   Gaganis, Chrysovalantis ^a   Zopounidis, Constantin ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b Department of Economics Finance and Accounting   (United Kingdom)

Author keywords

Auditing; Case study; Classification; Multicriteria analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); COST ACCOUNTING; INDUSTRIAL ECONOMICS; LAWS AND LEGISLATION; STANDARDS;

AUDITING; CLASSIFICATION ACCURACIES; MULTICRITERIA ANALYSIS; PUBLIC COMPANIES;

DECISION MAKING;

EID: 33847053230     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2006.04.039     Document Type: Article

References (67)

1. Aldrich J.H., and Nelson F.D. Linear probability, logit, and probit models (1984), Sage Publication, CA
2. Anandarajan M., and Anandarajan A. A comparison of machine learning techniques with a qualitative response model for auditor's going concern reporting. Expert Systems with Applications 16 (1999) 385-392
3. Atiya A.F. Bankruptcy prediction for credit risk using neural networks: A survey and new results. IEEE Transactions on Neural Networks 12 4 (2001) 929-935
4. Barnes P. The prediction of takeover targets in the UK by means of multiple discriminant analysis. Journal of Business Finance and Accounting 17 1 (1990) 73-84
5. Barnes P. Can takeover targets be identified by statistical techniques? Some UK evidence. The Statistician 47 4 (1998) 573-591
6. Barniv R., and McDonald J.B. Review of categorical models for classification issues in accounting and finance. Review of Quantitative Finance and Accounting 13 (1999) 39-62
7. Bartley J.W., and Boardman C.M. The relevance of inflation adjusted accounting data to the prediction of corporate takeovers. Journal of Business Finance and Accounting 17 1 (1990) 53-72
8. Beasley, S.M., Carcello, J.V., Hermanson, D.R., 1999. Fraudulent financial reporting: 1987-1997: An analysis of US public companies. Research Report, COSO.
9. Bell T., and Tabor R. Empirical analysis of audit uncertainty qualifications. Journal of Accounting Research 29 (1991) 350-370
10. Brackney, K.S., Witmer, P.R., 2005. The European Union's role in international standards setting: Will Bumps in the road to convergence affect the SEC's Plans? CPA Journal, November. Available from .
11. Calderon T.G., and Cheh J.J. A roadmap for future neural networks research in auditing and risk assessment. International Journal of Accounting Information Systems 3 4 (2002) 203-236
12. Charitou A., Neophytou E., and Charalambous Ch. Predicting corporate failure: Empirical evidence from the UK. European Accounting Review 13 3 (2004) 465-497
13. Chen K., and Church B. Default on debt obligations and the issuance of going concern opinions. Auditing: A Journal of Practice and Theory Fall (1992) 30-49
14. Citron D.B., and Taffler R.J. The audit report under going concern uncertainties: An empirical analysis. Accounting and Business Research 22 (1992) 337-345
15. Citron, D.B., Taffler, R.J., 2000. Can regulators really change auditor behaviour? The case of going concern reporting in the UK. City University Working Paper.
16. Coderre G.D. Fraud Detection. Using Data Analysis Techniques to Detect Fraud (1999), Global Audit Publications
17. Despotis D.K., and Zopounidis C. Building additive utilities in the presence of non-monotonic preferences. In: Pardalos P.M., Siskos Y., and Zopounidis C. (Eds). Advances in multicriteria analysis (1995), Kluwer Academic Publishers, Dordrecht
18. Dopuch N., Holthausen R., and Leftwich R. Predicting audit qualifications with financial and market variables. Accounting Review 62 3 (1987) 431-454
19. Doumpos M., and Zopounidis C. Business failure prediction: A comparison of classification methods. Operational Research: An International Journal 2 3 (2002) 303-319
20. Doumpos M., Kosmidou K., and Pasiouras F. Prediction of acquisition targets in the UK: A multicriteria approach. Operational Research An International Journal 4 2 (2004) 191-211
21. Fanning K., and Cogger K.O. Neural Network detection of management fraud using published financial data. International Journal of Intelligent Systems in Accounting Finance and Management 7 1 (1998) 21-41
22. Federation des Experts Comptables Europeens, 2000a. Accounting standard setting in Europe. December; Bruxelles.
23. Federation des Experts Comptables Europeens, 2000b. The auditor's report in Europe. June; Bruxelles.
24. Frecka T.J., and Hopwood W.S. The effects of outliers on the cross-sectional distributional properties of financial ratios. The Accounting Review (1983) 115-128
25. Gaganis Ch., Pasiouras F., and Tzanetoulakos A. A comparison and integration of classification techniques for the prediction of small UK firms failure. The Journal of Financial Decision Making 1 1 (2005) 55-69
26. Gupton, G.M., Stein, R.M., 2002. LossCalc™: Moody's Model for Predicting Loss GivenDefault (LGD). Moody's Investors Service Global Credit Research; Special Comment; February.
27. Hansen J.V., McDonald J.B., and Stice J.D. Artificial intelligence and generalized qualitative-response models: An empirical test of two audit decision-making domains. Decision Sciences 23 3 (1992) 708-723
28. Hopwood W.S., McKeown J.C., and Mutchler J.F. The sensitivity of financial distress prediction models to departures from normality. Contemporary Accounting Research (1988) 284-298
29. Hopwood W., McKeown J., and Mutchler J. A test of the incremental explanatory power of opinions qualified for consistency and uncertainty. The Accounting Review 1 64 (1989) 28-48
30. Hopwood W., McKeown J., and Mutchler J. A reexamination of auditor versus model accuracy within Xontext of the going-concern opinion decision. Contemporary Accounting Research 2 10 (1994) 409-431
31. International Forum on Accountancy Development, 2001. GAAP: A survey of national accounting rules benchmarked against international accounting standards. Available from: .
32. Ireland J.C. An empirical investigation of determinants of audit reports in the UK. Journal of Business Finance and Accounting 30 7-8 (2003) 975-1015
33. Keasey K., and Watson R. Non-financial symptoms and the prediction of small company failure: A test of Argenti's hypotheses. Journal of Business Finance and Accounting 14 3 (1987) 335-354
34. Keasey K., Watson R., and Wynarzcyk P. The small company audit qualification: A preliminary investigation. Accounting and Business Research 18 (1988) 323-333
35. Kocagil, A.E., Reyngold, A., Stein, R.M., Ibarra, E., 2002. Moody's RiskCalc™ model for privately-held US Banks. Moody's Investors Service; Global Credit Research; July.
36. Koh H.C. Model predictions and auditor assessments of going concern status. Accounting and Business Research 21 84 (1991) 331-338
37. Koh H.C., and Killough L.N. The Use of multiple discriminant analysis in the assessment of the going concern status of an audit client. Journal of Business Finance and Accounting Spring (1990) 179-192
38. Krishnan J., and Krishnan J. The role of economic trade-offs in the audit opinion decision: An empirical analysis. Journal of Accounting, Auditing and Finance 11 4 (1996) 565-586
39. Laitinen E.K., and Laitinen T. Qualified audit reports in Finland: Evidence from large companies. European Accounting Review 7 4 (1998) 639-653
40. Lennox C.S. The accuracy and incremental information context of audit reports in predicting bankruptcy. Journal of Business Finance and Accounting 26 (1999) 757-770
41. Loebbecke J., Eining M., and Willingham J. Auditor's experience with material irregularities: Frequency, nature, and detectability. Auditing: A Journal of Practice and Theory 9 (1989) 1-28
42. McKeown J.C., Mutchler J.F., and Hopwood W. Towards an explanation of auditor failure to modify the audit opinions on bankrupt companies. Auditing: A Journal of Practice and Theory 10 (1991) 1-13
43. Morrison D.G. On the Interpretation of Discriminant Analysis. Journal of Marketing Research 05 (1969) 156-163
44. Noreen E. An empirical comparison of probit and OLS regression hypothesis tests. Journal of Accounting Research (1998) 119-133
45. Palepu K.G. Predicting takeover targets: A methodological and empirical analysis. Journal of Accounting and Economics 8 (1986) 3-35
46. Pasiouras F., Tanna S., and Zopounidis C. Application of Quantitative Techniques for the Prediction of Bank Acquisition Targets (2005), World Scientific, Singapore
47. Pinches G.E. Factors influencing classification results from multiple discriminant analysis. Journal of Business Research 12 (1980) 429-456
48. Porter B., and Cameron A. Company fraud-what price the auditor?. Accountant's Journal 12 (1987) 44-47
49. Ramamoorti S., Bailey A.D., and Traver R.O. Risk assessment in internal auditing: A neural network approach. International Journal of Intelligent Systems in Accounting, Finance and Management (1999) 159-180
50. Reynolds J.K., and Francis J.R. Does size matter? The influence of large clients on office-level auditor reporting decisions. Journal of Accounting and Economics 30 (2001) 375-400
51. Rezaee Z. Causes, consequences, and deterrence of financial statement fraud. Critical Perspectives on Accounting 16 3 (2005) 277-298
52. Richardson F.M., and Davidson L.F. On linear discrimination with accounting ratios. Journal of Business Finance and Accounting (1984) 511-525
53. Ruiz-Barbadillo E., Gomez-Aguilar N., Fuentes-Barbera C.D., and Garcia-Benau M.A. Audit quality and the going-concern decision-making process: Spanish evidence. European Accounting Review 13 4 (2004) 597-620
54. Salchenberger L.M., Cinar E.M., and Lash N.A. A new tool for predicting thrift failures. Decision Sciences 23 (1992) 899-916
55. Sobehart, J.R., Keenan, S., Stein, S., 2000. Benchmarking quantitative default risk models: A validation methodology. Moody's Investors Service Global Credit Research; March.
56. Spathis Ch. Detecting false financial statements using published data: Some evidence from Greece. Managerial Auditing Journal 17 4 (2002) 179-191
57. Spathis Ch. Audit qualification, firm litigation, and financial information: An empirical analysis in Greece. International Journal of Auditing 7 (2003) 71-85
58. Spathis Ch., Doumpos M., and Zopounidis C. Detecting falsified financial statements: A comparative study using multicriteria analysis and multivariate statistical techniques. The European Accounting Review 11 3 (2002) 509-535
59. Spathis Ch., Doumpos M., and Zopounidis C. Using client performance measures to identify pre-engagement factors associated with qualified audit reports in Greece. The International Journal of Accounting 38 (2003) 267-284
60. Stein, R.M., 2002. Benchmarking default prediction models: Pitfalls and remedies in model validation. Moody's KMV Technical Report #030124; June 13.
61. Stone M., and Rasp J. Tradeoff in the choice between logit and OLS for accounting choice studies. The Accounting Review (1991) 170-187
62. Summers S.L., and Sweeney J.T. Fraudulently misstated financial statements and insider trading: An empirical analysis. The Accounting Review 73 1 (1998) 131-146
63. Tabachnick B., and Fidell L. Using Multivariate Statistics. fourth ed. (2001), Allyn & Bacon, USA
64. Welch O.J., Reeves Th.E., and Welch S.T. Using a Genetic Algorith-based classifier system for modeling auditor decision behavior in a fraud setting. International Journal of Intelligent Systems in Accounting, Finance and Management 7 (1998) 173-186
65. Ziegenfuss D.E. State and local government fraud survey for 1995. Managerial Auditing Journal 9 (1996) 50-55
66. Zopounidis C., and Doumpos M. A multicriteria decision aid methodology for sorting decision problems: The case of financial distress. Computational Economics 14 3 (1999) 197-218
67. Zopounidis C., and Doumpos M. Building additive utilities for multi-group hierarchical discrimination: The M.H.D.I.S method. Optimization Methods and Software 14 3 (2000) 219-240