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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<strong>of</strong> fundamental <strong>earnings</strong> will be a function <strong>of</strong> the operating cycle, macro business condition,<br />
investment opportunity set, managerial skill, and other features <strong>of</strong> the firm. The “error” term<br />
represents the ability <strong>of</strong> the accounting system to measure the firm’s fundamental <strong>earnings</strong> process.<br />
There may be a feedback loop: the accounting measurement system could influence management’s<br />
behavior that in turn changes “fundamental” <strong>earnings</strong> and its <strong>quality</strong>. For example, not requiring the<br />
expensing <strong>of</strong> stock options could result in greater stock option usage than otherwise would occur,<br />
which could affect risk taking behavior, which will in turn affect the fundamental <strong>earnings</strong> process.<br />
Since all <strong>of</strong> the EQ proxies involve reported <strong>earnings</strong>, they all are affected by both the<br />
fundamental <strong>earnings</strong> process as well as the ability <strong>of</strong> the accounting system to measure the process.<br />
There are multiple reasons that the accounting measurement system captures the fundamental<br />
process with error. The standard setters are working with a different measurement system in mind<br />
(e.g., focusing on fair valuing assets and liabilities and measuring <strong>earnings</strong> as the change in wealth).<br />
<strong>Management</strong> make poor forecasts that affect accrual estimation (e.g., forecasting the level <strong>of</strong> returns<br />
incorrectly) or that affect real decisions (e.g., overinvesting in inventory or PPE, requiring a<br />
subsequent write down). Items that should be expensed are ignored (e.g., expected environment<br />
liabilities, bad investments). Firms structure transactions to get around undesirable accounting<br />
implications (leasing, securitizations, stock options).<br />
As accountants, one important area <strong>of</strong> research should evaluate the ability <strong>of</strong> the accounting<br />
system to measure different types <strong>of</strong> <strong>earnings</strong> processes. That is, we should focus on the “e” term.<br />
Another important area <strong>of</strong> research should examine when reported <strong>earnings</strong>, in total, are <strong>of</strong> higher<br />
<strong>quality</strong>. Both types <strong>of</strong> research are important for understanding <strong>earnings</strong> <strong>quality</strong>.<br />
Our point is that the current research does not adequately recognize the distinction between<br />
the fundamental <strong>earnings</strong> process and the measurement <strong>of</strong> the process, which limits the conclusions<br />
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