We examine the market reaction to a sample of 403 restatements announced from 1995 to 1999. We document an average abnormal return of about −9 percent over a 2-day announcement window. We find that more negative returns are associated with restatements involving fraud, affecting more accounts, decreasing reported income and attributed to auditors or management (but not the Securities and Exchange Commission). There appears to be an additional penalty for announcements that do not quantify the restatement. Finally, we provide evidence on the relation between restatement announcements and analyst earnings forecast dispersion, bid–ask spreads and subsequent revisions in analyst earnings forecasts.

For most firms, the information technology (IT) budget represents a major element in the overall firm budget, and IT budget decisions often have significant operational and strategic impacts on the business processes in the firm’s value chain. In this paper we use a large unique data set to examine the extent to which IT budgets are affected by environmental, organizational, and technological circumstances. We find that our cross-sectional model explains substantial variance in IT budgets, which indicates that contingent environmental, organizational, and technological factors affect managers’ budget decisions. We then examine the extent to which these IT budget levels are related to future firm performance, measured using both broad financial accounting measures, such as operating profit margins and return on assets, and market returns. We find that IT budget levels are positively associated with subsequent firm performance and shareholder returns. We further suggest that IT’s aggregate effect on performance is a weighted average of two very different components: (1) context-driven IT budget levels, which reflect the effects of environmental, organization, and technological factors and the IT budgets resulting from them, and (2) idiosyncratic IT budget levels, which reflect the effect of any marginal firm-specific IT budget expenditures after controlling for these contextual factors. Both components are positively associated with performance, indicating that the specified contextual factors provide an incomplete explanation of firms’ value-relevant IT expenditures. The current study contributes to the accounting information systems and management accounting literatures by assessing the causes and consequences of IT budgets.

This study uses an archival research design to assess the impact of enterprise systems on a firm's internal information environment as reflected in the production of management earnings forecasts. Specifically, the authors hypothesize that, if enterprise systems improve management's access to decision‐relevant internal information, higher quality management earnings forecasts should ensue. Consistent with disclosure theory and the purported technical characteristics of enterprise systems, the authors find a positive association between enterprise system implementations and subsequent increases in the likelihood of management forecast issuance and the accuracy of the forecasts. Additional robustness tests support the argument that improvements in management forecasts are due to improvements in the firm's internal information environment rather than to enhancements in management's ability to manage earnings. Beyond accumulating financial reporting information, the authors note that such systems provide management with information to make day‐to‐day operational decisions. Moreover, the paper provides a basis for considering management forecast qualities as a measurable proxy for improvements in the firm's internal information environment that result from information technology investments.

We use posts on the investor-focused StockTwits social media network to generate new insights regarding investor disagreement, disclosure processing costs, and trading volume around earnings announcements. Using social media-based measures of disagreement, we find that both preannouncement disagreement and increases in disagreement around an earnings announcement are positively associated with trading volume. Drawing upon the disclosure processing costs literature, we provide evidence that the effects of disagreement increase when disclosure processing costs are lower. Our social media measures of disagreement remain significant after including traditional analyst earnings estimate measures of disagreement in the model. Our study provides new evidence on the importance of disclosure processing costs and is consistent with lower disclosure processing costs amplifying both the resolution of preannouncement disagreement and new disagreement about earnings information. Data Availability All data are available from the sources described in the text.