Firms often change their operating policy to meet a short-term financial reporting target. Accounting researchers call this opportunistic action real earnings management (REM). They measure REM by the difference between a firm’s costs and those reported by its industry peers. Firms that pursue distinct competitive strategies also display different cost patterns than peers. However, the models that measure REM do not control for differences in competitive strategy. Hence a researcher can misinterpret a cost difference that stems from a firm’s competitive strategy as REM. The researcher would also find a spurious correlation between earnings management and a firm characteristic that varies with competitive strategy. A cause or effect relationship with earnings management could be wrongfully inferred. I suggest improvements in measurement models to avoid misspecification

This paper explores whether firms manage their earnings after stock splits to meet the raised expectations from the market due to the positive signal sent by the splits. We first document that post-split drift mainly exists in the first three months and is positively associated with post-split standardized unexpected earnings (SUE). However, the higher post-split SUE of split firms is associated with higher discretionary accruals and abnormally lower R&D expenses. This result is consistent with our hypothesis that split firms overstate their post-split earnings by manipulating accruals and reducing R&D spending. Moreover, post-split abnormal returns increase with discretionary accruals and R&D reduction for about six months and tend to reverse over longer horizons, especially for firms with negative pre-split SUE. Overall, our results indicate that the post-split drift is a short-term phenomenon and partly attributable to the earnings management after the splits

We examine the role of relationship-based resource allocations during the approval process of seasoned equity offerings (SEOs) in the Chinese capital market. Our results show that guanxi-based relationships significantly increase the likelihood of SEO approvals, particularly for suspect SEO applicants with abnormal levels of earnings management (EM), related-party transactions (RPTs), and intercompany loans. More importantly, we find that guanxi-influenced SEO firms have significantly poorer performance in the post-SEO period, which indicates that it results in inefficient resource allocations. Overall, our evidence suggests that relationship-based resource allocations lead to negative spillover effects that impose social welfare losses

This paper investigates whether maintaining a reputation for consistently beating analysts' earnings expectations can motivate executives to move from “within GAAP” earnings management to “outside of GAAP” earnings manipulation. We analyze firms subject to SEC enforcement actions and find that these firms consistently beat analysts' quarterly earnings forecasts in the three years prior to the manipulation period and continue to do so by smaller “beats” during the manipulation period. We find that manipulating firms beat expectations around 86 percent of the time in the 12 quarters prior to the manipulation period (versus 75 percent for control firms) and that manipulation often ends with a miss in expectations. We document that executives of manipulating firms face strong stock market and CEO pressure to perform. Prior to the manipulation period, these firms have high analyst optimism, growing institutional interest, and high market valuations, along with powerful CEOs. Further, we find that maintaining a reputation for beating expectations is more important than CEO overconfidence and is incremental to CEO equity incentives for explaining manipulation. Our results suggest that pressure to maintain a reputation for beating analysts' expectations can encourage aggressive accounting and, ultimately, earnings manipulation