In this paper, we compare the bitcoin exchange rate of the U.S. dollar against the Euro with the relevant foreign spot exchange rate and find empirical evidence of co-integration and one-way Granger-causality from the spot exchange rate to the bitcoin exchange rate. Furthermore, we find market...

We show that dealers' limited market participation, coupled with an informational friction resulting from lack of market transparency, can make liquidity demand upward sloping, inducing strategic complementarities: traders demand more liquidity when the market becomes less liquid, fostering...

Using point-in-time accounting data, we estimate monthly fair values of 25,000 stocks from 36 countries. A trading strategy based on deviations from fair value earns significant risk-adjusted returns (“alpha”) in most regions, especially the Asia Pacific, that are unrelated to known...

We examine institutional trading surrounding corporate news by combining a comprehensive database of newswire releases on U.S. firms with a high-frequency database of institutional trades. To identify the ability of institutions to predict or quickly interpret news, we form “news clusters”...

In this paper, I examine the impact of market inefficiency on the properties of implied cost of capital (ICC) estimates. I show that market inefficiency will bias the relation between the ICC estimate and future returns upwards. Utilizing recently developed ICC estimates formed using regression...

We show that dealers' limited market participation, coupled with an informational friction resulting from lack of market transparency, can make liquidity demand upward sloping, inducing strategic complementarities: traders demand more liquidity when the market becomes less liquid, fostering...

We study the degree of information substitutability in the financial market. Exploiting the cross-sectional and time-series variations of the pandemic-triggered lockdowns that have hampered people's physical interactions hence the ability to collect, process, and transmit soft information, we...

We propose a theoretically-motivated factor model based on investor psychology and assess its ability to explain the cross-section of U.S. equity returns. Our factor model augments the market factor with two factors which capture long- and short-horizon mispricing. The long-horizon factor...

Meme stocks have received a lot of attention in the media from both investors and regulators in recent months. The power of the crowd, coupled with the unprecedented coordination of social media investors, raises questions about their impact on information efficiency. We construct two meme stock...

As machines replace humans in financial markets, how is informational efficiency impacted? We shed light on this issue by exploiting a unique data-set that allows us to identify when machines access important company information (8-K filings) versus when humans access the same information. We...