We model competition for liquidity provision between high-frequency traders (HFTs) and slower execution algorithms designed to minimize transaction costs for buy-side institutions (B-Algos). Under continuous pricing, B-Algos dominate liquidity provision by using aggressive limit orders to...

To prevent firms from manipulating prices, U.S. regulators set price ceilings for open-market share repurchases. We find that market structure reforms in the 1990s and 2000s dramatically increased share repurchases because they relaxed constraints that prevent firms from competing with other...

Financial regulations and clientele segmentation explain the proliferation of order types on stock exchanges. Plain market and limit orders lose money, indicating that informed traders use complex orders. Fifty-seven percent of trading volume comes from non-routable orders, which are designed to...

This paper applies the Least Absolute Shrinkage and Selection Operator (LASSO) to make rolling 1-minute-ahead return forecasts using the entire cross section of lagged returns as candidate predictors. The LASSO increases both out-of-sample fit and forecast-implied Sharpe ratios. And, this...

Big data is revolutionizing the finance industry and has the potential to significantly shape future research in finance. This special issue contains articles following the 2019 NBER/ RFS conference on big data. In this Introduction to the special issue, we define the "Big Data" phenomenon as a...

This paper uses wavelets to decompose each stock's trading-volume variance into frequency-specific components. We find that stocks dominated by short-run fluctuations in trading volume have abnormal returns that are 1% per month higher than otherwise similar stocks where short-run fluctuations...