We evaluate the impact of complexity and content of new information on stock return volatility dynamics around 10-K fillings. On average, return volatility increases by 0.4% in the first four weeks after the release of the report, followed by a 2.6% decrease in the subsequent six weeks. This...

This paper examines how a firm adjusts its disclosure quality in response to technological innovations that improve investors' private information. We show that more precise private information can endogenously amplify supply shocks and, hence, increase noise-driven (or non-fundamental) price...

We find that lower ex-ante earnings volatility leads to higher Post-Earnings Announcement Drift (PEAD). PEAD is a function of both the magnitude of an earnings surprise and its persistence. While prior research has largely investigated market reactions to the magnitude of the earnings surprise,...

Earnings management is a key issue for financial reporting. The purpose of this paper is to derive a set of indices to measure the pervasiveness of earnings management (PEM) using the properties of quarterly accrual volatility. The PEM index can be viewed as a quality measure of financial...

This paper studies the impact that pre-IPO cash flow volatility has on the initial and long-term value of a publicly traded firm. From the perspective of corporate risk management theory, higher cash flow volatility should reduce value in the form of higher borrowing costs, reduced investment,...

Biondi et al. (2012) develop an analytical model to examine the emergent dynamic properties of share market price formation over time, capable to capture important stylized facts. These latter properties prove to be sensitive to regulatory regimes for fundamental information provision, as well...

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...

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...

We analyze a comprehensive sample of more than 10,000 U.S. OTC stocks. We first show that the OTC market is a large, diverse, and dynamic trading environment with a rich set of regulatory and disclosure regimes, comprising venue rules and state laws beyond SEC regulation. We then exploit this...

The primary aim of this study is to investigate the stock return volatility surrounding management earnings forecasts. Disclosure by managers of expected earnings are particularly important communications, and as such, it is important to understand the capital market implications surrounding...