We examine whether the information conveyed in a relatively new analyst research output—capital expenditure (capex) forecasts—affects corporate investment efficiency. We find that firms with analyst capex forecasts exhibit higher investment efficiency. This effect is stronger when the...

We examine the impact of firms’ voluntary climate disclosure on the stock market’s reaction to climate change policy. Using the Paris Agreement as an exogenous shock to climate policy and novel measures of climate-related disclosure developed in recent literature, we find that...

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...

Prior research documents large, persistent productivity dispersion even within narrowly defined industries, suggesting the presence of frictions that impede the efficient allocation of resources. In this paper we consider the role of information frictions. We posit that high-quality financial...

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...

This paper examines a mixed data sampling (MIDAS) approach to accounting research. MIDAS regression models parsimoniously incorporate variation embedded in existing economic data that are observed at much higher frequencies than accounting data. The additional source of data variation creates an...

We propose and find that aggregating a small number of earnings signals from highly macroeconomically exposed firms yields an informative leading indicator of future GDP. This challenges the convention of defining aggregate earnings using a comprehensive set of public earnings signals. Our...

We examine the association between I/B/E/S's disclosure of non-GAAP earnings and investor uncertainty around earnings announcements. On one hand, investor uncertainty may decrease with I/B/E/S's non-GAAP disclosure because these disclosures make investors aware of alternative performance...