We use earnings forecasts from a cross-sectional model to proxy for cash flow expectations and estimate the implied cost of capital (ICC) for a large sample of firms over 1968–2008. The earnings forecasts generated by the cross-sectional model are superior to analysts' forecasts in terms of...

Prior analyst literature focuses on the impact of financial analysts on the firms they cover, and prior information-transfer literature concentrates on the externalities of information provided by management. This paper fills gaps in both streams of literature by examining the focal firm's...

We examine how Regulation FD changed analysts' reliance on firms' public disclosure. Regulation FD is associated with a stronger analyst response to earnings announcements, management forecasts and conference calls—that is, analysts respond to these events more quickly, more frequently and...

We study conference calls as a voluntary disclosure channel and create a proxy for the time horizon that senior executives emphasize in their communications. We find that our measure of disclosure time horizon is associated with capital market pressures and executives' short-term monetary...

We use the Campbell (1991) return decomposition framework to reexamine the variation in the information content of earnings between profit firms and loss firms and over time. We show that current earnings surprises are more strongly correlated with the discount rate news component of returns for...

We highlight key assumptions implicit in the models used by academics conducting research on market efficiency. Most notably, many academics assume that investors can borrow unlimited amounts and construct long-short portfolios at zero cost. We relax these assumptions and examine the...

This paper examines the relation between cognitive perceptions of management and firm valuation. We develop a composite measure of investor perception using 30-second content-filtered video clips of initial public offering (IPO) roadshow presentations. We show that this measure, designed to...

Information processing filters out the noise in data but it takes time. Hence, low precision signals are available before high precision signals. We analyze how this feature affects asset price informativeness when investors can acquire signals of increasing precision over time about the payoff...

Analysts often update their recommendations following corporate news. Questions have been raised regarding analysts' ability to generate new information beyond recent corporate events. Employing a comprehensive database on corporate news we show that only a small minority of 27.9% of all...

This study seeks to determine whether earnings announcements pose non-diversifiable volatility risk that commands a risk premium. We find that investors anticipate some earnings announcements to convey news that increases market return volatility and pay a premium to hedge this non-diversifiable...