We examine whether there is intra-industry information transfer with respect to the second moment of returns around earnings announcements. Using implied volatility from option prices to proxy for uncertainty about firm fundamentals, we find a significantly positive association between changes...

We exploit differences in institutional and macroeconomic environments to shed light on what drives variation in the aggregate earnings-returns relation over time within the U.S. and across countries. We find that both intertemporal and cross-country variation in the aggregate earnings-returns...

This paper examines whether the negative association between aggregate earnings and returns is explained by the monetary policy news in aggregate earnings. Using Federal funds futures data to construct a measure of policy news, we find that aggregate earnings convey information about the Fed's...

We examine whether the contribution of firm-level accounting earnings to the informativeness of the aggregate is tilted towards earnings with specific financial reporting characteristics. Specifically, we investigate whether considering the volatility of earnings relative to the volatility of...

Can an earnings announcement decrease disagreement about fundamentals while simultaneously increasing disagreement about price? Recent theory suggests the presence of short-horizon investors can lead to a polarization of higher-order beliefs about price (i.e., beliefs regarding the opinions of...

We exploit the change in U.S. segment reporting rules (from SFAS 14 to SFAS 131) to examine two motives for managers to conceal segment profits: proprietary costs and agency costs. Managers face proprietary costs of segment disclosure if the revelation of a segment that earns high abnormal...

We examine the macroeconomic information content of aggregate earnings from the labor market's perspective. We use insights from the labor economics literature to characterize the information contained in aggregate GAAP earnings and its components that is relevant for predicting aggregate job...