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Decision Usefulness and Accelerated Filing Deadlines

Journal of Accounting Research 2013 51(3), 549-581
In this study we examine the impact of the Securities and Exchange Commission's (SEC) decision to accelerate the filing of 10-Ks. The SEC argued that the accelerated deadline would increase the relevance of the disclosures, making the reports more useful. Opponents countered that the accelerated deadline would decrease the representational faithfulness of the disclosures, especially for smaller firms. We document a significant decrease in the 10-K market reaction for smaller firms as they accelerate from 90 to 75 days. For larger firms we find no significant change in the market reaction from 90 to 75 days. However, as these larger firms accelerate their 10-K deadline to 60 days, we find a significant increase in the market reaction. We also examine changes in reporting quality, shifts in information content, and changes in 10-K filing order and clustering and find results that are consistent with accelerated filing having significant impacts on representational faithfulness and relevance.

Do managers define non-GAAP earnings to meet or beat analyst forecasts?

Journal of Accounting and Economics 2013 56(1), 40-56
We provide evidence consistent with firm managers opportunistically defining non-GAAP earnings in order to meet or beat analyst expectations. This result is robust to controlling for other tools of benchmark beating (e.g., discretionary accruals, real earnings management, and expectation management). We also find that managers tend to exclude more expenses from non-GAAP earnings when it is costlier to use accrual earnings management due to balance sheet constraints, indicating that these tools are substitutes. Lastly, we find that investors discount positive earnings surprises when accompanied by exclusions from GAAP earnings, suggesting that the market partially understands the opportunistic nature of these exclusions. Our evidence is consistent with managers opportunistically defining non-GAAP earnings in a way that analysts fail to fully anticipate, resulting in an increased likelihood of exceeding analyst forecasts.