Understanding earnings quality - MIT Sloan School of Management
Understanding earnings quality - MIT Sloan School of Management
Understanding earnings quality - MIT Sloan School of Management
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fact improve predictability relative to cash <strong>earnings</strong> assuming, like the concepts statement, that the<br />
fundamental <strong>earnings</strong> process is smoother than the cash receipt/payment process.<br />
Most studies, however, explore the relation between incentives for smoothing and specific<br />
accounting choices (or real activity choices) that generate smoother <strong>earnings</strong>. The focus is on the<br />
mechanisms used to smooth <strong>earnings</strong>, but the analyses are joint tests <strong>of</strong> the incentives and <strong>of</strong> the<br />
mechanism choice (e.g., White, 1970; Barnea, Ronen, and Sadan, 1976; Moses, 1987; Chaney, Jeter,<br />
and Lewis, 1998; Hand, 1989). Studies <strong>of</strong> accrual choices frequently investigate specific accounts,<br />
or even employ industry-specific small sample case studies (e.g., Dascher and Malcolm, 1970;<br />
McNichols and Wilson, 1988; Kanagaretnam, Lobo, Yang, 2004). Smoothing is treated as a period-<br />
specific accounting choice, thus these papers typically measure smoothing as the negative<br />
correlation between a proxy for unmanaged <strong>earnings</strong> (e.g., non-discretionary accruals), and the<br />
“discretionary accrual” that is being used to smooth <strong>earnings</strong>.<br />
Consequences <strong>of</strong> smoothness:<br />
The majority <strong>of</strong> the consequences studies examine the implications <strong>of</strong> smoothness in a cross-<br />
country context. Section 4.2 discusses these studies. The advantage <strong>of</strong> the cross-country analyses is<br />
the researcher’s ability to create a smoothness proxy that represents artificial smoothing or <strong>earnings</strong><br />
management. Smoothness has both a fundamental component, which is predicted to increase<br />
<strong>quality</strong>, and an artificial component, which is predicted to decrease <strong>quality</strong>. The predicted<br />
consequences <strong>of</strong> the two components are different, thus the research necessitates distinguishing non-<br />
discretionary (normal) smoothness from discretionary (abnormal) smoothness. In the cross-country<br />
studies, the notion is that the measurement error in the model <strong>of</strong> the fundamental component <strong>of</strong><br />
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