Are endogenous liquidity providers (ELPs) reliable in times of market stress? We examine the activity of a common ELP type – high frequency traders (HFTs) – around extreme price movements (EPMs). We find that on average HFTs provide liquidity during EPMs by absorbing imbalances created by...

We examine the effects of high frequency traders (HFTs) on liquidity using the September 2008 short sale ban. To disentangle the separate impacts of short selling by HFTs and non-HFTs we use an instrumental variables approach exploiting differences in the ban's cross-sectional impact on HFTs and...

We study performance and competition among high-frequency traders (HFTs). We construct measures of latency and find that differences in relative latency account for large differences in HFTs' trading performance. HFTs that improve their latency rank due to colocation upgrades see improved...

Prior research documents no significant abnormal returns around upgrades of credit ratings, suggesting that upgrades do not convey new information. These tests are limited by lack of data, liquidity screens, and ambiguous predictions. We extend prior research using trading volume. Because volume...

We show that global political uncertainty, measured by the U.S. election cycle, on average, leads to a fall in equity returns in fifty non-U.S. countries. At the same time, market volatilities rise, local currencies depreciate, and sovereign bond returns increase. The effect of global political...

Using the Baker, Bloom, and Davis (2013) news-based measure to capture economic policy uncertainty (EPU) in the United States, we find that EPU positively forecasts log excess market returns. A one-standard deviation increase in EPU is associated with a 1.5% increase in forecasted 3-month...

We develop a return variance decomposition model to separate the role of different types of information and noise in stock price movements. We disentangle four components: market-wide information, private firm-specific information revealed through trading, firm-specific information revealed...

Practitioners allocate substantial resources to technical analysis whereas academic theories of market efficiency rule out technical trading profitability. We study this long-standing puzzle by designing a machine learning algorithm to search for profitable technical trading rules while...

We examine the role of high-frequency traders (HFTs) in price discovery and price efficiency. Overall HFTs facilitate price efficiency by trading in the direction of permanent price changes and in the opposite direction of transitory pricing errors, both on average and on the highest volatility...

We examine empirically the role of high-frequency traders (HFTs) in price discovery and price efficiency. Based on our methodology, we find overall that HFTs facilitate price efficiency by trading in the direction of permanent price changes and in the opposite direction of transitory pricing...