2010
DOI: 10.1016/j.jacceco.2010.09.001
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Understanding earnings quality: A review of the proxies, their determinants and their consequences

Abstract: Researchers have used various measures as indications of "earnings quality" including persistence, accruals, smoothness, timeliness, loss avoidance, investor responsiveness, and external indicators such as restatements and SEC enforcement releases. For each measure, we discuss causes of variation in the measure as well as consequences. We reach no single conclusion on what earnings quality is because "quality" is contingent on the decision context. We also point out that the "quality" of earnings is a function… Show more

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Cited by 2,982 publications
(2,097 citation statements)
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References 466 publications
(303 reference statements)
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“…The results documented in Table 2 show that high persistence earnings are a better input into the valuation process (Dechow et al, 2010). Moreover, these findings are consistent with evidence that considerations regarding high earnings volatility and low persistence of earnings bring substantial improvements to the prediction of earnings and valuation process (Dichev & Tang, 2009).…”
Section: Abnormal Earnings Forecast and Valuation Outputssupporting
confidence: 79%
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“…The results documented in Table 2 show that high persistence earnings are a better input into the valuation process (Dechow et al, 2010). Moreover, these findings are consistent with evidence that considerations regarding high earnings volatility and low persistence of earnings bring substantial improvements to the prediction of earnings and valuation process (Dichev & Tang, 2009).…”
Section: Abnormal Earnings Forecast and Valuation Outputssupporting
confidence: 79%
“…These two variables are well documented in the literature as strong predictors of information environment and earnings quality (Dechow et al, 2010).…”
Section: Additional Analysis Robustness Checks and Limitationsmentioning
confidence: 84%
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“…Compreender se existe tal relação não linear entre endividamento e accruals, ou se a mesma possui relação negativa e linear, como defendido por Dechow et al, 2010, é extremamente relevante para os tomadores de decisão que utilizam métodos baseados em informações sobre lucros e fluxos de caixa passados. A forma côncava apontaria níveis de endividamento nos quais os accruals são mais elevados e, portanto, as estimativas de fluxo de caixa mais imprecisas.…”
Section: Implicações Práticasunclassified