The Role of Earnings Management in Theoretical Development and Improving the Efficiency of Accounting-Based Financial Distress Prediction Models

Document Type : Research Paper

Authors

Department of Accounting, Sari Branch, Islamic Azad University, Sari, Iran

10.22034/amfa.2019.1879394.1300

Abstract

Examining the theoretical foundations of earnings management shows that companies have stronger incentive to use earnings management at the pre-bankruptcy stage. Consequently, accounting-based determinants retrieved from financial statements may be biased factors for financial distress. In this paper, we investigate whether taking into account real earnings management improves specification of accounting-based financial distress prediction models. We test whether the inclusion of such attributes in bankruptcy prediction models improves their predictive ability. We use a sample of listed manufacturing companies in the Iran Stock Exchange during 2008 - 2017. Our findings suggest that the inclusion of earnings management significantly increases the predictive ability of accounting-based financial distress prediction models. Our results show that the real earnings management can provide predictive signals concerning a financial distress and that an abnormal cash flow which proxies for real earnings management can play a relevant role in early warnings of financial distress. These results are of interest to market participants, auditors, regulating authorities, banks and other financial institutions that are interested in financial distress assessment

Keywords


[1] Altman, E.I.,Corporate financial distress: A complete guide to predicting, avoiding, and dealing with bankruptcy. New York: NY, John Wiley and Sons, In. 1983.
 
[2] Altman, E.I.,Predicting Financial Distress of Companies: Revisiting the Z-Score and ZETA Models. NewYork: Stern School of Business,2000, New York University. Doi:10.4337/9780857936097.00027
 
[3] Altman, E. I., Iwanicz-Drozdowska, M., Laitinen, E. K., Suvas, A., Financial and non-financial variables as long-horizon predictors of bankruptcy, Journal of Credit Risk, 2016, 12(4), P.49-78. Doi:10.21314/JCR.2016.216
 
[4] Ahmadi, R., Kordloei, H.R., The Effect of Financial Distress on the Investment Behaviourof Companies Listed on Tehran Stock Exchange, Advances in mathematical finance & applications, 2018, 3(4), P.17-28. Doi:10.22034/AMFA.2019.565459.1108
 
[5] Baatour, K., Ben Othman, H., and Hussainey, K., The effect of multiple directorships on real and accrual-based earnings management: Evidence from Saudi listed firms, Accounting Research Journal, 2017, 30 (4), P. 395-412. Doi:10.1108/ARJ-06-2015-0081
 
[6]Balcaen, S., Ooghe, H., 35 Years of Studies on Business Failure: An Overview of the Classic Statistical Methodologies and Their Related Problems, The British Accounting Review, 2006, 38(1), P.63-93. Doi:10.1016/j.bar.2005.09.001
 
[7] Barnes, P. (1987). The analysis and use of financial ratios: A review article, Journal of Business Finance and Accounting, 1987, 14 (4), P.449-461.  Doi:10.1111/j.1468-5957.1987.tb00106.x
 
[8] Bauer, J., Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium, PHD Thesis, Cranfield University, 2012.
 
[9] Bazrafshan, A., Earnings behavior in bankrupt firms: the role of auditor, Asset management & Financing, 2015, 2 (4), P.1-14. (in Persian)
 
[10] Burgstahler, D., Dichev, I., Earnings management to avoid earnings decreases and losses, Journal of Accounting and Economics, 1997, 24 (1), P.99-126. Doi:10.1016/S0165-4101(97)00017-7
 
[11] Bergstresser, D., Philippon, T., CEO incentives and earnings management, Journal of Financial Economics, 2006, 80 (3), P.511–529. Doi:0.1016/j.jfineco.2004.10.011
 
[12] Bushee, B., The influence of institutional investors on myopic R&D investment behavior, The Accounting Review, 1997, 73 (3), P.305-333. https://ssrn.com/abstract=143834
 
[13] Campa, D., Camacho-Miñano, M.M., The impact of SME’s pre-bankruptcy financial distress on earnings management tools, International Review of Financial Analysis, 2015, 42, P.222-234. Doi:10.1016/j.irfa.2015.07.004
 
[14] Cenciarelli, V. G., Greco1, G., Allegrini1, M., External audit and bankruptcy prediction, Journal of Management and Governance, 2018, 22 (4), P.863-890. Doi:10.1007/s10997-018-9406-z
 
[15] Coats, P.K., Fant, L.F., A neural network approach to forecasting financial distress, Journal of Business Forecasting, 1992, 10 (4), P.9-12.
 
[16] D’Argenti, J., Corporate collapse: The causes and the symptoms, London: McGraw Hill, 1976.
 
[17] Deakin, E.B., Business failure prediction: An empirical analysis. In E. Altman (Ed.), Financial crisis: Institutions and Markets in Fragile Environment, New York: Wiley and Sons, 1977, P.72-88.
 
[18] Dichev, I., Skinner, D., Large-sample evidence on the debt covenant hypothesis, Journal of Accounting Research, 2002, 40(4), P.1091-1123. Doi:10.1111/1475-679x.00083
 
[19] Dechow, P.M., Ge, W., Larson, C.R., and Sloan, R.G., Predicting material accounting misstatements, Contemporary Accounting Research, 2011, 28 (1), P.17-82. Doi:10.1111/j.1911-3846.2010.01041.x
 
[20] DeFond, M., and Jiambalvo, J., Debt covenant violations and manipulation of accruals, Journal of Accounting and Economics, 1994, 17(1–2), P.145–176. Doi:10.1016/0165-4101(94)90008-6
 
[21] Degeorge, F., Patel, J., and Zeckhauser, R., Earnings management to exceed thresholds, Journal of Business, 1999, 72(1), P.1–33. Doi:10.1086/209601
 
[22] Du Jardin, P., Veganzones, D., and Severin, E., Forecasting Corporate Bankruptcy Using Accrual-Based Models, Computational Economics, 2019, 54 (1), P.7-43. Doi:10.1007/s10614-017-9681-9
 
[23] Ewert, R., and Wagenhofer, A., Economic effects of tightening accounting standards to restrict earnings management, The Accounting Review, 2005, 80 (4), P.1101-1124.
 
[24] Fitzpatrick, P.J., A comparison of the ratios of successful industrial enterprises with those of failed companies, Certified Public Accountant, 1932, P.598-731.
 
[25] García Lara, J. M., García Osma, B., and Mora, A., The effect of earnings management on the asymmetric timeliness of earnings, Journal of Business Finance & Accounting, 2005, 32 (3‐4), P.691-726.
 
[26] Ghasemi, S., and Sarlak, A., Investigating the Impact of the Financial Crisis on Conservative Accounting and Transparency of Banking Information, Advances in mathematical finance & applications, 2018, 3(3), P.53-68.
 
[27] Gholami Jamkarani, R., and Mokhtari Kajori, D., Effect of Conservative Reporting on Investors' Opinion Diver-gence at the Time of Earnings Announcement, Advances in mathematical finance & applications, 2018, 3(2), P.81-95.
 
[28] Graham, J.R., Harvey, C.R., and Rajgopal, S., The economic implications of corporate financial reporting, Journal of Accounting and Economics, 2005, 40(1-3), P.3–73. Doi:10.1016/j.jacceco.2005.01.002
 
[29] Gunny, K. A., The relation between earnings management using real activities manipulation and future performance: Evidence from meeting earnings benchmarks, Contemporary Accounting Research, 2010, 27 (3), P.855–888.Doi:10.1111/j.1911-3846.2010.01029.x
 
[30] Gunny K., What are the consequences of real earnings management? Working Paper, University of California, Berkeley, 2005.
 
[31] Healy, P., and Wahlen, J., A review of the earnings management literature and its implications for standard setting, Accounting Horizons, 1999, 13 (4), P.365–383. Doi:10.2308/acch.1999.13.4.365
 
[32] Hepworth, S. R., Smoothing periodic income, The accounting review, 1953, 28 (1), P.32-39.
 
[33] Jacoby, G., Li, J., and Liu, M., Financial Distress, Political Affiliation, and Earnings Management: The Case of Politically-Affiliated Private Firms, The European Journal of Finance, 2016, 26 (6), P.508-523. Doi:10.1080/1351847X.2016.1233126
 
[34] Jensen, M.C., and Meckling, W.H., Theory of the Firm: Managerial Behavior, Agency Costs, and Ownership Structure, Journal of finance Economics, 1979, 3 (4), P.305-360. Doi:10.1016/0304-405X(76)90026-X
 
[35] Khaliq, A., Altarturi, B.H., Thaker, H.M., Harun, Y., and Nahar, N., Identifying Financial Distress Firms: A Case Study of Malaysia's Government Linked Companies (GLC), International Journal of Economics, Finance and Management, 2014, 3 (3), P.141-150.
 
[36] Izadikhah, M., Khoshroo, A., Energy management in crop production using a novel fuzzy data envelopment analysis model, RAIRO-Oper. Res., 2018, 52 (2), P. 595-617, Doi: 10.1051/ro/2017082
[37] Izadikhah, M., Farzipoor Saen, R., Ranking sustainable suppliers by context-dependent data envelopment analysis. Ann Oper Res, 2020, 293, P.607–637, Doi: 10.1007/s10479-019-03370-4
 
[38] Lau, K. W., A Comparative Analysis of The Application of Altman (1968) Z-Score and Ohlson (1980) O-Score Prediction Models to Hong Kong Public-Listed Companies, and The Impact of Cash Conversion Cycle and Non-Financial Variables on Predicting Business Failure, Australasian Digital Theses, 2017, Sydney, Australia: Macquarie University.
 
[39] Lee, L. F., Incentives to Inflate Reported Cash from Operations Using Classification and Timing, The Accounting Review, 2012, 87 (1), P.1–33. Doi:10.2308/accr-10156
 
[40] Lee, N., and Swenson, C.W., Earnings Management through Discretionary Expenditures in the U.S., Canada, and Asia, International Business Research, 2011, 4 (2), P.257- 266. Doi:10.5539/ibr.v4n2p257
 
[41] Lin, H-W.W.,LO,H-C., and Wu,R-S., Modeling default prediction with earnings management, Pacific-Basin Finance Journal, 2016, 40 (PB), P.306-322.  Doi:10.1016/j.pacfin.2016.01.005
 
[42] MdNasir, N., Ali, M., Razzaque, R. and Ahmed, K., Real earnings management and financial statement fraud: evidence from Malaysia, International Journal of Accounting & Information Management, 2018, 26 (4), P.508-526. Doi:10.1108/IJAIM-03-2017-0039
 
[43] Minussi, J. A., Damacena, C., and Ness, W. L., Jr., A solvency forecasting model using logistic regression, Journal of Contemporary Management, 2002, 6 (3), P.109-128. Doi:10.1590/S1415-65552002000300007
 
[44] Rezende, F. F., Montezano, R. M. S., Oliveira, F.  N., and Lameira, V. J., Predicting financial distress in publicly-traded companies, RevistaContabilidade&Finanças, 2017, 28 (75), P.390-406. Doi:10.1590/1808-057x201704460
 
[45] Ricci, C.W., Manipulating receivables: a comparison using the SEC’s accounting auditing enforcement releases, Journal of Applied Business and Economics, 2011, 12 (5), P.35-44.
 
[46] Rogers, J., and Stocken, P., Credibility of Management Forecasts, The Accounting Review, 2005, 80 (4), P.1233–1260.Doi:10.2139/ssrn.401700
 
[47] Rosner, R. L., Earning manipulation in failing firms, Contemporary Accounting Research, 2003, 20 (2), P.361-408. Doi:10.1506/8EVN-9KRB-3AE4-EE81
 
[48] Roychowdhury, S., Earnings management through real activities manipulation, Journal of Accounting and Economics, 2006, 42 (3), P.335-370.Doi:10.1016/j.jacceco.2006.01.002
 
[49] Scott, W. R., Financial accounting theory, Upper Saddle River, 2009, NJ: Prentice hall.
 
[50] Tabassum, N., Kaleem, A. and Nazir, M.S., Earnings management through overproduction and subsequent performance: an empirical study in Pakistan, International Journal of Indian Culture and Business Management, 2014, 9 (3), P.267–282. Doi:10.1504/IJICBM.2014.064693
 
[51] Taffler, R.J., and Tisshaw, H., Going, going, gone – Four factors which predict, Accountancy, 1977, 88 (1003), P.50-54.
 
[52] Thai, S., Goh, H., Teh, B., Wong, J., and Ong, T., A Revisited of Altman Z- Score Model for Companies Listed in Bursa Malaysia, International Journal of Business and Social Science, 2014, 5 (12), P.197-207.
 
[53] Thomas, J. K., and Zhang, H., Inventory changes and future returns, Review of Accounting Studies, 2002, 7 (2-3), P.163-187.
 
[54] Van Caillie, D., and Arnould, S., The follow-up of financial value creation indicators to prevent bankruptcy in Belgian SMEs: an empirical multivariate approach, Proceedings of the 21st Babson College Research Conference on Entrepreneurship, 2001, Jonköping, Sweden.
 
[55] Veganzones, D., Severin, E., The Impact of Earnings Management on Bankruptcy Prediction Models: An Empirical Research, 2017, P.1-28. Doi:10.2139/ssrn.2980144
 
[56] Waqas, H., and Md-Rus, R., Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firms, Cogent Economics & Finance, 2018, 6 (1), P.1-16. Doi:10.1080/23322039.2018.1545739
 
[57] Watts,R.L., and Zimmerman, J.L., Positive accounting theory: A ten year perspective, The Accounting Review, 1990, 65 (1), P.131–156.
 
[58] Wruck, K. H., Financial distress, reorganization, and organizational efficiency, Journal of Financial Economics, 1990, 27 (2), P.419-444. Doi:10.1016/0304-405X(90)90063-6