Model uncertainty in measuring abnormal accruals in Vietnam
Published: August 4, 2026
doi:10.62831/nckh.2026.383.v1
Abstract
This study examines model uncertainty in measuring abnormal accruals of Vietnamese listed firms. Instead of treating the Jones model as the default choice, the study combines multiple accrual models using Bayesian methods and predictive weighting. In the posterior measurement space, the original Jones model does not dominate, while adjusted variants receive negligible weights. Asymmetric and cash-flow-based models, particularly those with firm-specific intercepts, receive stronger support. When predictive intervals are considered, the number of observations flagged as abnormal decreases significantly. The study recommends incorporating model uncertainty in earnings management research in Vietnam.
Ball, R., & Shivakumar, L. (2006). The role of accruals in asymmetrically timely gain and loss recognition. Journal of Accounting Research, 44(2), 207–242. https://doi.org/10.1111/j.1475-679X.2006.00198.x
Breuer, M., & Schütt, H. H. (2023). Accounting for uncertainty: An application of Bayesian methods to accruals models. Review of Accounting Studies, 28, 726–768. https://doi.org/10.1007/s11142-021-09654-0
Chauhan, Y., & Jaiswall, M. (2023). Economic policy uncertainty and incentive to smooth earnings. International Review of Economics & Finance, 85, 93–106. https://doi.org/10.1016/j.iref.2023.01.014
Dang, A. T., & Nguyen, N. K. D. (2024). The impact of Covid-19 on earnings management: Empirical evidence from Vietnam. SAGE Open, 14(3). https://doi.org/10.1177/21582440241266974
Dechow, P. M., & Dichev, I. D. (2002). The quality of accruals and earnings: The role of accrual estimation errors. The Accounting Review, 77(Supplement), 35–59. https://doi.org/10.2308/accr.2002.77.s-1.35
Dechow, P. M., Ge, W., & Schrand, C. M. (2010). Understanding earnings quality: A review of the proxies, their determinants and their consequences. Journal of Accounting and Economics, 50(2-3), 344-401. https://doi.org/10.1016/j.jacceco.2010.09.001
Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1995). Detecting earnings management. The Accounting Review, 70(2), 193-225. http://sseriga.free.fr/course/uploads/FA%20-%20PM/Dechow_et_al_1995.pdf
8.
Healy, P. M., & Wahlen, J. M. (1999). A review of the earnings management literature and its implications for standard setting. Accounting Horizons, 13(4), 365-383. https://doi.org/10.2308/acch.1999.13.4.365
Jones, J. J. (1991). Earnings management during import relief investigations. Journal of Accounting Research, 29(2), 193-228. https://doi.org/10.2307/2491047
Kothari, S. P., Leone, A. J., & Wasley, C. E. (2005). Performance-matched discretionary accrual measures. Journal of Accounting and Economics, 39(1), 163-197. https://doi.org/10.1016/j.jacceco.2004.11.002
McNichols, M. F. (2002). Discussion of “The quality of accruals and earnings: The role of accrual estimation errors.” The Accounting Review, 77(Supplement), 61-69. https://doi.org/10.2308/accr.2002.77.s-1.61
Nguyen, A. T. M., Tran, B.-T., & Nguyen, H. M. (2022). Earnings management around equity issuances in Vietnamese listed firms. Journal of International Economics and Management, 22(2), 56-70. https://doi.org/10.38203/jiem.022.2.0048
Nguyen, H. L., Nguyen, D. T., Le, T. N. P., Nguyen, L. T., & Vu, T. T. M. (2025). Using accrual-based model to test the relationship between earnings management and corporate performance in the Vietnamese stock market. International Journal of Innovative Research and Scientific Studies, 8(4), 516-523. https://doi.org/10.53894/ijirss.v8i4.7879
Nguyen, Q., Kim, M. H., & Ali, S. (2024). Corporate governance and earnings management: Evidence from Vietnamese listed firms. International Review of Economics & Finance, 89, 775-801. https://doi.org/10.1016/j.iref.2023.07.084
Rigamonti, A. P., Cao, J., & Tucker, J. W. (2024). Macroeconomic uncertainty and earnings management: Evidence from commodity markets. Review of Quantitative Finance and Accounting, 63, 135-169. https://doi.org/10.1007/s11156-024-01246-8
Schipper, K. (1989). Earnings management. Accounting Horizons, 3(4), 91-102.
17.
Vehtari, A., Gelman, A., & Gabry, J. (2017). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing, 27(5), 1413-1432. https://doi.org/10.1007/s11222-016-9696-4
Yao, Y., Vehtari, A., Simpson, D., & Gelman, A. (2018). Using stacking to average Bayesian predictive distributions. Bayesian Analysis, 13(3), 917-1007. https://doi.org/10.1214/17-BA1091
