As a result of technological innovations in data processing, the exploitation of Internet usage data in relation to search engines or social networks is becoming increasingly intriguing for understanding and anticipating stock market movements. We analyze the impact of three alternative investor...

Retail investors pay over twice as much attention to local companies than non-local ones, based on Google searches. News volume and volatility amplify this attention gap. Attention appears causally related to perceived proximity: first, acquisition by a nonlocal company is associated with less...

We examine how investors' perception of bank balance sheet risk evolved before and during the March-April 2023 bank run. To do so, we estimate the covariance ("beta") of bank excess stock returns with returns on factors constructed from long-short portfolios sorted on shares of uninsured...

Extreme adverse selection arises when private information has unbounded support, and market breakdown occurs when no trade is the only equilibrium outcome. We study extreme adverse selection via the limit behavior of a financial market as the support of private information converges to an...

We examine howthe verbal complexity of ECB communications affectsfi-nancial market trading based on high-frequency data fromEuropean stock index futures trading. Studying the 34 events between May 2009 and June 2017, during which the ECB Governing Council press conferences covered unconventional...

This paper examines how monetary expansion causes asset bubbles. When there is no monetary expansion, a bubbly asset is not created due to a hold-up problem. Monetary expansion increases buyers' money holdings, and then, dealers are willing to buy a worthless asset from sellers, in hopes of...

This paper develops a model of rational bubbles where trade of an asset takes place through a chain of middlemen. We show that there exists a unique and robust equilibrium, and a bubble can occur due to information frictions in bilateral and decentralized markets. Under reasonable assumptions,...

We use Google internet search volumes to measure households' pessimism about overall market-wide credit health in the economy, and show that this "household default sentiment" is positively correlated with the credit default swap (CDS) spread level in the market. However, while household default...

Government interventions such as bailouts are often implemented in times of high uncertainty. Policymakers may therefore rely on information from financial markets to guide their decisions. We propose a model in which a policymaker learns from market activity and where market participants have...

This paper measures valuation and strategic uncertainty in an over-the-counter market. The analysis uses a novel data set of price estimates that major financial institutions provide to a consensus pricing service. We model these institutions as Bayesian agents that learn from consensus prices...