This paper investigates the speed of price discovery when information becomes publicly available but requires costly processing to become common knowledge. We exploit the unique institutional setting of hacks on decentralized finance (DeFi) protocols. Public blockchain data provides the precise...

This study examines how an increase in tick size affects algorithmic trading (AT), fundamental information acquisition (FIA), and the price discovery process around earnings announcements (EAs). Leveraging the SECs randomized Tick Size Pilot experiment, we show a tick size increase results in a...

Through extending a standard Grossman and Stiglitz (1980) noisy rational expectations economy by a heterogeneous signal structure with signal-specific differences in uncertainty, we show that price momentum as well as reversal are not intrinsically at odds with rational behavior. Differences in...

Generalizing the idea that price momentum can be explained by different levels of uncertainty inherent in the information structure, we implement signal-specific differences in uncertainty in a Kyle type model of strategic trading. We derive the equilibrium in a single-auction setting as well as...

This Article argues that information gaps—pockets of information that are pertinent and knowable but not currently known—are a byproduct of shadow banking and a meaningful source of systemic risk. It lays the foundation for this claim by juxtaposing the regulatory regime governing the shadow...

This paper aims to explore the relevance of the asymmetric information and the theory of argumentation TA in the complex area of financial crises. Specifically, we investigated the scope of the phenomenon of persuasion in advertising. It examines advertisements in publications notable economic...

Plott, Wit & Yang (2003) conduct a betting market experiment and find: First, information was aggregated. This suggests that traders updated their private information based on observed market odds. Second, a model based only on the use of private information seems to fit their data best. The...