Knowledge that Transforms

This study experimentally investigates the effectiveness of computer-mediated brainstorming in the context of the SAS No. 99 mandated fraud brainstorming requirement. Results indicate that brainstorming effectiveness is significantly higher for teams brainstorming electronically relative to teams using traditional face-to-face brainstorming. There is no significant difference in brainstorming effectiveness between electronic interactive brainstorming and electronic nominal brainstorming. Brainstorming effectiveness is significantly higher for teams receiving content facilitation relative to teams not receiving content facilitation. The post-brainstorming fraud risk assessments are significantly higher than the pre-brainstorming assessments in all treatment conditions, indicating that the SAS No. 99 mandated brainstorming session has the intended effect. This research informs audit practice by demonstrating that computer-mediated fraud brainstorming can be more effective than face-to-face brainstorming and also by establishing the effectiveness of content facilitation for improving the quality of the fraud risk factors generated by auditors.

This study examines whether peer reviews conducted under the AICPA's self-regulatory model have been effective at signaling audit quality. Prior research has examined whether peer-review reports are associated with perceived audit quality. We examine whether peer-review reports are associated with actual audit quality. Using a unique data set obtained from the files of an insurance company, we find that peer-review findings are indeed useful in predicting audit failure (i.e., malpractice claims alleging auditor negligence), and that certain types of findings are particularly useful in this regard. We also find that peer-review findings are associated with other firm-specific indicators of potentially weak quality control or risky practices within accounting firms. Taken together, we interpret our findings to indicate that self-regulated peer review as mandated by the AICPA does provide effective signals regarding audit-firm quality.

Beginning with Patell and Wolfson (1982), several papers have documented that earnings announcements made after the market closes and/or on Fridays tend to contain worse earnings news than those made at other times. One hypothesis is that opportunistic managers release earnings at these times of decreased media attention to “hide” their bad news and reduce the associated market penalty. Using firm-level tests that focus on only those firms that switch their disclosure timing (rather than consistently report at the same time), we find no evidence that managers opportunistically report worse news after the market closes or on Fridays. We then explore other determinants of the timing decision, including the more benign hypothesis that managers with worse earnings news release earnings after the market closes to more broadly disseminate the information. Consistent with desiring more time for the market to assimilate the announcement, we find some evidence that more complex firms tend to announce earnings after the market closes. We also find that these announcements are associated with greater abnormal volume, possibly indicating a successful dissemination strategy. We also find that the corporate headquarters location, the size of the firm, the number of analysts covering the firm, and industry membership are all significant explanatory variables for the timing decision. Overall, our findings are consistent with efficient capital markets that are effective at monitoring new information, regardless of the time of the announcement.

Changes in regulations governing capital markets always provide a rich setting for archival researchers to examine how such changes affect the behavior of market participants. Barniv et al. (2009; hereafter, BHMT) and Chen and Chen (2009; hereafter CC) examine the impacts of recently enacted regulations aimed at curbing perceived abused by sell-side analysts. There were no less than six significant regulations issued between 2000 and 2003 that affected the activities of analysts. BHMT and CC emphasize different regulations, but both predict that analysts' recommendation will be less biased as a result of the collective regulatory changes. The evidence in both studies is strong and convincing that the association between analysts' earnings forecasts and stock recommendations has changed, consistent with analysts' personal conflicts of interest having less impact on their analyses. However, the attribution of what regulation, if any, effected this change is less clear. Collectively, the similarities and differences in the studies provide a nice setting to understand how different authors approach the same research question.

Many companies operate units that are dispersed across different types of markets, serving significantly divergent customer bases. Such dispersion is likely to compromise headquarters' ability to control local managers' behavior and satisfy the needs of different customer types. In this study we find that market-type dispersion is an important determinant of the delegation of decision rights and the provision of incentives. Using a sample of convenience store chains, we show that market-type dispersion is positively associated with the degree of franchising at the chain level as well as the probability of franchising a given store within a chain. Our results are robust to alternative definitions of market-type dispersion and to other determinants of franchising such as the stores' geographic dispersion. Additional analyses suggest that chains that do not franchise cope with market-type dispersion by decentralizing operations from headquarters to their stores and providing their store managers higher variable pay.

This study examines properties of analysts' cash flow forecasts and compares them to those exhibited by analysts' earnings forecasts. Our results indicate that analysts' cash flow forecasts are less accurate than analysts' earnings forecasts and improve at a slower rate during the forecast period. Further, cash flow forecasts appear to be a nai¨ve extension of analysts' earnings forecasts, thus providing limited information on expected changes in working capital. We also find that analysts' forecasts of cash flows are of limited information content and are only weakly associated with stock returns. Finally, estimating expected accruals as the difference between analysts' earnings forecasts and their cash flow forecasts does not result in a better detection of earnings management than achieved by commonly used accrual models.

This research investigates how financial statement users' judgments and decisions are affected by the extent to which a firm's actual accounting choices match users' expectations. Based on prior communications research, I predict and find that users' credibility judgments are more extreme when a firm's actual accounting choices do not match expectations. Experiment 1 supports this prediction in a stock-based compensation context, and Experiment 2 supports it in an accounting estimate context. Further, evidence from Experiment 1 supports the prediction that credibility judgments mediate the effect of a mismatch on investment decisions. Finally, evidence from Experiment 2 partially supports the prediction that users who encounter a mismatch between actual and expected accounting choices are more likely to search for additional information than are users who encounter a match. The results have implications for accounting researchers, regulators, and managers interested in understanding how firms' accounting choices affect users' decisions.

Motivated by recent FASB, IASB, and CFA Institute comments, we explore the predictive value of direct method cash flow disclosures. A primary stated purpose of the direct method is to better forecast future performance. To examine this purpose, we first document that direct method line items, such as cash received from customers, are not reliably estimable using income statements and either balance sheets or indirect method statements of cash flows. When these stimation (articulation) errors are included in cash flows and earnings forecasting models, forecasting performance significantly improves. In addition, employing a future ERC (FERC) methodology, we find evidence suggesting that market participants utilize direct method disclosures for their stated purpose: to better forecast future operating performance. After conducting several tests for self-selection concerns, we conclude that the direct method is valuable to investors when forecasting future cash flows and earnings.

Recent evidence suggests that corporate tax shelters have become important corporate instruments for reducing tax burden. Based on a sample of identified tax shelter participants, I develop a profile of the type of firm that likely engages in tax sheltering. The model detects tax shelter participants through the use of variables predicted to be either affected by or associated with tax sheltering. I find that firms actively engaged in tax sheltering exhibit larger ex post book-tax differences and more aggressive financial reporting practices. Using this model of tax shelter firm characteristics, I identify a broad sample of predicted tax shelter firms from the population of firms. I then examine whether tax sheltering is associated with wealth creation for shareholders or with managerial opportunism. I find that active tax shelter firms with strong corporate governance exhibit positive abnormal returns. This finding is consistent with tax sheltering being a tool for wealth creation in well-governed firms.