Calls for eliminating differences between accounting earnings and taxable income in the US have been debated extensively. Proponents of increased book-tax conformity argue that tax compliance will increase and earnings quality will improve. Opponents argue that earnings quality will decline. We examine whether the level of required book-tax conformity affects earnings persistence and the association between earnings and future cash flows. We develop a comprehensive book-tax conformity measure and find that earnings have lower persistence and a lower association with future cash flows when conformity is higher. Our evidence suggests that increased book-tax conformity may reduce earnings quality.

In this study we investigate the usefulness of historical accounting reports (10-Ks and 10-Qs) by examining four settings where we expect investors to acquire historical reports in order to obtain qualitative and quantitative information that contextualizes and conditions information released in the current period. Using a novel dataset that tracks user requests for accounting reports stored in the SEC EDGAR database, we find that requests for historic reports during the fiscal year are positively associated with financial reporting complexity and that requests around earnings announcements are positively associated with accounting discretion and negative earnings shocks (particularly for conservative firms). Finally, we find that daily requests for historical reports are positively associated with shocks to firm value (particularly negative shocks). Overall, our evidence suggests that historical reports make up an important component of the information mosaic assembled by investors.

We examine the determinants and market consequences associated with earnings announcements going viral on social media, a phenomenon we label “earnings virality.” Using a comprehensive panel of historical Twitter data, we find that the typical earnings announcement receives relatively little social media coverage, but others go viral on social media, quickly reaching the feeds of millions of people. We find that viral earnings announcements generally have Twitter content that is more extreme in tone and contains less unique content. Further, earnings virality is positively associated with revenue surprises, investor recognition, retail investor ownership, and retail investor trading around the announcement. Earnings virality appears to be detrimental to markets, as it coincides with lower market liquidity and slower price formation. Overall, our evidence suggests that user-driven dissemination through social media platforms, when amplified and taken to extreme levels, may be harmful to markets.