Estimating accrual-based models in Poland: the time series data approach and the cross-sectional data approach

IF 0.6 4区 经济学 Q4 ECONOMICS
Michał Comporek
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Abstract

The analysis of accruals can be considered as an important tool for examining the level and the patterns of earnings management phenomenon in an enterprise. This paper compares the empirical features of different accrual-based models within industrial public companies listed on the Warsaw Stock Exchange in the period 2002-2017. The conducted research is focused not only on examining the empirical validity of the original Jones model, the modified Jones model and the ROA-matched Jones model. It also submits the alternative regression model used for the detection of earnings management practices, taking into account the following independent variables: operational expenses as a proxy for the current components of nondiscretionary accruals, as well as intangible assets as a proxy for the noncurrent components of non-discretionary accruals. Then, the authorexamined the probability of occurrence of small increases in net income or big bath charges in companies reporting specific values of discretionary accruals. The conclusions drawn in this paper are part of practical research concerning the use of informational and decision-making features of accruals analysis in the Polish post-transitional capital market, acting simultaneously as a prerequisite for further research in this field. This paper compares the empirical features of different accrual-based models within industrial public companies listed on the Warsaw Stock Exchange (WSE) in the period 2002-2017.The study presents an analysis of the essential methodical measurement of the processes of the intentional stimulation of financial results based on the estimation of operational and discretionary accruals. However, it focused not only on examining the empirical validity of the Jones model, the modified Jones model and the ROA-matched Jones model, but also submits an alternative regression tool used to detect EM practices. Consequently, the research proposes a new approach in extracting discretionary accruals, by taking into account the operating expenses as a variable for current components of non-discretionary accruals, as well as the intangible assets as a proxy for the non-current components of normal accruals. The research considered both the time-series and cross-sectoral dimension, thereby making it possible to examine whether the average values of discretionary accruals in companies implementing EM practices
估计应计制为基础的模型在波兰:时间序列数据方法和横断面数据方法
应计项目分析可以被认为是检验企业盈余管理现象水平和模式的重要工具。本文比较了2002-2017年华沙证券交易所上市的工业上市公司不同权责发生制模型的经验特征。本文的研究重点是检验原始Jones模型、修正Jones模型和roa匹配Jones模型的实证有效性。它还提交了用于检测盈余管理实践的替代回归模型,考虑到以下自变量:营业费用作为非可操纵性应计利润的当前组成部分的代理,以及无形资产作为非可操纵性应计利润的非流动组成部分的代理。然后,作者检查了报告可自由支配应计项目特定值的公司出现净收入小幅增长或大额费用的可能性。本文得出的结论是关于应计项目分析在波兰转型后资本市场中利用信息和决策特征的实际研究的一部分,同时也是该领域进一步研究的先决条件。本文比较了2002-2017年华沙证券交易所(WSE)上市的工业上市公司不同权责发生制模型的经验特征。本研究分析了基于经营性和可自由支配性应计项目估计的有意刺激财务结果过程的基本方法测量。然而,它不仅侧重于检验Jones模型、修正Jones模型和roa匹配Jones模型的经验有效性,而且还提出了一种用于检测EM实践的替代回归工具。因此,该研究提出了一种提取可操纵性应计利润的新方法,将营业费用作为非可操纵性应计利润的流动部分的变量,并将无形资产作为正常应计利润的非流动部分的代理。该研究同时考虑了时间序列和跨部门维度,从而有可能检验实施新兴市场实践的公司的可自由支配应计利润的平均值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.10
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0.00%
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2
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