ABSTRACT I investigate the information content of income tax expense using variance decomposition to separate stock returns into cash flow and discount rate news components. While prior literature has focused on linking tax expense with expected future cash flows, I argue that tax expense should also be informative about discount rates because of its ability to summarize fundamental economic performance. Consistent with my arguments, I find that tax expense surprises are correlated with both revisions in future cash flows and revisions in discount rates; however, the economic magnitude of tax expense's impact on returns is primarily through the discount rate channel. I also perform cross‐sectional tests, which reveal that the discount rate implications of tax expense are due not only to its ability to capture fundamental economic performance but also to its ability to convey information about a firm's earnings management and tax avoidance activities.

The sudden and exogenous nature of the COVID-19 crash provides a unique identification opportunity to study insiders’ informational advantages. We find that the sales of insiders at firms with connections to China were significantly more profitable during the COVID-19 crisis than the sales of insiders at firms without connections to China. Consistent with greater attentiveness to public information about the COVID-19 pandemic, this result is driven by China connected insiders executing larger (smaller) sales in the early (late) COVID-19 period than non–China connected insiders. We find our results are driven by trades that are not preplanned under Rule 10b5–1 and are consistent with anticipation of the systematic market effects of COVID-19 on an insider’s firm as opposed to firm-specific effects. Aggregate China connected insider trades also predict market returns during the COVID-19 period. Our study contributes to the insider trading literature by introducing geographic connection to market-wide information as a source of public information advantage and to regulatory efforts to investigate and understand corporate insider behavior related to the COVID-19 pandemic.

ABSTRACT We examine whether public financial statement information is incrementally useful in forecasting confidential taxable income. More precise firm-level taxable income forecasts can improve policymakers' modeling of the tax system and the analysis of proposed changes in corporate tax law, while more accurate macro-level forecasts of corporate taxable income can improve estimates of corporate tax revenues, a significant component of the federal budget. We find the addition of financial statement information improves firm- and industry-level estimates of future taxable income by primarily providing more timely information, but also through accruals. Our results suggest that macroeconomic forecasts of taxable income may be further improved by the aggregation of firm-level forecasts that are generated using financial statement information. Importantly, our results are driven primarily by tax information in financial statements. We also contribute to the research on the information content of financial statement information for forecasting economic activity. JEL Classifications: M41; M48; H25.