Exploiting mispricings in securities, including statistical, merger, and convertible arbitrage.
This paper shows that anomalies tend to lose profitability in the US after publication, likely due to arbitrage trading. However, the same does not hold for international markets, where anomalies remain strong and persistent—even post-publication.
Not all momentum winners are created equal. This paper shows that a subset of high-return stocks—those with low institutional ownership and rising short interest—are overpriced. These “overpriced winners” crash in the future, offering a profitable short signal.
This paper shows that when an anomaly becomes widely known (i.e., "discovered"), arbitrageurs begin exploiting it—reducing its future returns, changing correlations, and indirectly benefiting passive investors through diversification.
This paper reveals that high-frequency trading (HFT) is not one big strategy—but three distinct types. It shows that when HFTs compete in market-making, volatility actually goes down, and smaller exchanges become more viable.
This paper shows that in high-frequency trading (HFT), milliseconds matter. The fastest firms earn the majority of profits, not because they make better trades—but because they make more of them, faster. Speed wins.
This paper shows that high-frequency traders use their speed to crowd out slower traders from the most profitable limit order executions. They exploit fleeting imbalances in the order book and withdraw when risk increases—leaving slower traders with poor fills.
This paper shows that cryptocurrency prices can be much higher in some countries than others. These price gaps happen because of restrictions on moving money between countries, not because of problems with the cryptocurrencies themselves.
Most stock market gains happen during a four-hour window before European markets open. This paper finds that almost all returns come from this short time period, likely because investors are reacting to overnight news. A simple strategy that trades during this window beats buy-and-hold.
Adding a seasonality factor to a portfolio of market, size, value, and momentum increases the Sharpe ratio from 1.04 to 1.67.
The study highlights greater returns in markets with high trading frictions, such as non-US developed and emerging markets.