The Estimation and Power of Alternative Discretionary Accruals Models

Authors

DOI:

https://doi.org/10.31098/jgrcs.v3i1.1197

Keywords:

Earnings Management, Discretionary Accruals, Jones Model, Modified Jones, Extended Jones Cash Flow, Working Capital Accruals

Abstract

Discretionary accruals remain decade’s long measures to detect earnings management in empirical accounting research. The correctness of the specifications and test power of the information content for the models remains unexplored based on samples of most emerging market firms. Yet, country’s-based researchers have increasingly used different Jones-based discretionary accruals to proxy earnings management. The paper aims to evaluate four discretionary accruals models and to decide the most appropriate one for the detection of earnings management. For the aim, we apply regression methods to estimate and evaluate four Jones-type discretionary accruals models – simple Jones, modified Jones, extended Jones cash flow model and working capital accruals – based on evidence of a final sample of 1,852 firm-year of 102 firms in Nigeria during 2001–2020. The results disclose that all models are well-specified such that the likelihood of Type I errors is minimum and below the significance level of 5%. In order to demonstrate the power of the test, the simulations completed identify that the modified Jones model exhibits the highest power capability. The implication of this finding is that the modified Jones model is the most appropriate model to detect earnings management based on the Nigerian sample.

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References

Adedokun, W. M., Gbadebo, A. D., Adekunle, A. O., & Akande, J. O. (2022). IFRS Adoption and Accrual-Based Managed Earnings in Nigeria. Asian Economic and Financial Review, 12(12), 1041–1073. https://doi.org/10.55493/5002.v12i12.4669

Algharaballi, E., & Albuloushi, S. (2008). Evaluating the specification and power of discretionary accruals models in Kuwait. Journal of Derivatives & Hedge Funds, 14, 251–264. https://doi.org/10.1057/jdhf.2008.23

Balboa, M., López-Espinos, G., & Rubia, A. (2013). Nonlinear dynamics in discretionary accruals: an analysis of bank loan-loss provisions. Journal of Banking & Finance, 37, 5186–5207. http://dx.doi.org/10.1016/j.jbankfin.2013.05.020

Ball, R., & Shivakumar, L. (2005). Earnings quality in UK private firms: Comparative loss recognition timeliness. Journal of Accounting and Economics, 39, 83–128. https://doi.org/10.1016/j.jacceco.2004.04.001

Ball, R., & Shivakumar, L. (2006). The role of accruals in asymmetrically timely gain and loss recognition. Journal of Accounting Research, 44, 207–241. https://doi.org/10.1111/j.1475-679X.2006.00198.x

Byzalov, D., & Basu, S. (2019). Modeling the determinants of meet-or-just-beat behavior in distribution discontinuity tests. Journal of Accounting & Economics. 68 (2) & (3), 101266. https://doi.org/10.1016/j.jacceco.2019.101266

Cadot, J., Rezaee, A. & Chemama, R. B. (2020). Earnings Management and Derivatives Reporting: Evidence from the Adoption of IFRS Standards in Europe, Applied Economics. https://doi.org/10.1080/00036846.2020.1841085.

Coulton, J., Taylor, S., & Taylor, S. (2005). Is ‘benchmark beating’ by Australian firms evidence of earnings management? Accounting & Finance, 45, 553–576. https://doi.org/10.1111/j.1467-629X.2005.00145.x

Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1995). Detecting earnings management. Accounting Review, 70, 193–225. https://www.jstor.org/stable/248303

Dechow, P., & Dichev, I. (2002). The quality of accruals and earnings: the role of accrual estimations errors, The Accounting Review, 77, 35–59. http://dx.doi.org/10.2308/accr.2002.77.s-1.357

Dechow, P.M., Hutton, A. P. Kim, J. h., & Sloan, R. G. (2012). Detecting earnings management: A new approach. Journal of Accounting Research, 50(2), 275–334. https://doi.org/10.1111/j.1475-679X.2012.00449.x

Dechow, P.M., Kothari, S. P., & Watt, R. L. (1998). The relation between earnings and cash flows. Journal of Accounting and Economics, 25(2), 133–168. https://doi.org/10.1016/S0165-4101(98)00020-2

Fairfield, P. M., Whisenant, J. S., & Yohn, T. L. (2003). Accrued earnings and growth: Implications for future profitability and market mispricing. The Accounting Review, 78(1), 353–371. https://doi.org/10.2308/accr.2003.78.1.353

Hribar, P., & Collins, D. (2002). Errors in estimating accruals: implications for empirical research, Journal of Accounting Research, 40, 105–134. https://doi.org/10.1111/1475-679X.00041

Jeter, D. C., & Shivakumar, L. (1999). Cross-sectional estimation of abnormal accruals using quarterly and annual data: Effectiveness in detecting event-specific earnings management. Accounting & Business Research, 29 (4), 299–319. https://doi.org/10.1080/00014788.1999.9729590

Jones, J. (1991). Earnings management during import relief investigations. Journal of Accounting Research, 29, 193–228. DOI: https://doi.org/10.2307/2491047

Kasznik, R. (1999). On the association between voluntary disclosure and earnings management. Journal of Accounting Research, 37(1), 57–81. https://doi.org/10.2307/2491396

Kothari, S. P., Leone, A. J., & Wasley, C. E. (2005). Performance matched discretionary accrual measures. Journal of Accounting & Economics, 39, 163–197. https://doi.org/10.1016/j.jacceco.2004.11.002.

Kusumawardhani, I., & Murdianingrum, S. L. (2022). The Effect of Institutional Ownership, Managerial Ownership, and Deferred Tax Expense on Earnings Management. Journal of Governance Risk Management Compliance and Sustainability, 2(1), 1–9. https://doi.org/10.31098/jgrcs.v2i1.801

Larcker, D., & Richardson, S. (2004). Fees paid to audit firms, accrual choices, and corporate governance. Journal of Accounting Research, 42(3), 625–658. https://doi.org/10.1111/j.1475-679X.2004.t01-1-00143.x

McNichols, M. (2002). Discussion of the quality of accruals and earnings: the role of accrual estimation errors. The Accounting Review, 77, 61–69. https://doi.org/10.2308/accr.2002.77.s-1.61

Ozili, P. K., & Outa, E. R. (2019). Bank earnings smoothing during mandatory IFRS adoption in Nigeria. African Journal of Economic and Management Studies, 10(1), 32–47. https://doi.org/10.1108/AJEMS-10-2017-0266

Peasnell, K. V., Pope, P. F., & Young, S. (2000). Detecting earnings management using cross-sectional abnormal accruals models. Accounting & Business Research, 30. http://dx.doi.org/10.1080/00014788.2000.9728949

Teoh, S. H., Welch, I., & Wong, T. J. (1998). Earnings management and the underperformance of seasoned equity offerings. Journal of Financial Economics, 50, 63–99. https://doi.org/10.1016/S0304-405X(98)00032-4

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Published

April 30, 2023

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Gbadebo, A. D., Adekunle, A. O. ., & Akande, J. O. (2023). The Estimation and Power of Alternative Discretionary Accruals Models. Journal of Governance Risk Management Compliance and Sustainability, 3(1), 74–90. https://doi.org/10.31098/jgrcs.v3i1.1197

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Governance, Risk, Compliance, and Sustainability Economy

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