We document significant differences in Bitcoin prices across 11 different markets representing 26% of global Bitcoin trade volume. These differences must — due to the identical nature of all bitcoin — result from characteristics of markets themselves. We examine differences across the...

We document systematic differences in bitcoin prices across 11 different markets representing 26% of global bitcoin trade volume. These differences must — due to the identical nature of all bitcoin — result from characteristics of markets themselves. We examine differences across the markets...

We document systematic differences in bitcoin prices across 11 different markets representing 26\% of global bitcoin trade volume. These differences must --- due to the identical nature of all bitcoin--- result from characteristics of markets themselves. We examine differences across the markets...

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...

Many practitioners point out that the speculative profits of institutional traders arc eroded by the difficulty in gauging the price impact of their trades. In this paper. we develop a model of strategic trading where speculators face such a dilemma because of incomplete information about...

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...

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...

In this paper, I develop a model of self-reinforcing financial fads in which feedback patterns arise because of limitations to traders' observational learning. I assume that the traders categorize price history into finite groups of price patterns due to their cognitive limitations, but their...

Will arbitrage capital flow into markets experiencing shocks, mitigating adverse effects on price efficiency? Not necessarily. In a dynamic model with privately informed capital-constrained arbitrageurs, price efficiency plays a dual role, determining both the profitability of new arbitrage and...