Purpose – The purpose of this paper is to propose a framework for data mining (DM)‐based anti‐money laundering (AML) research. Design/methodology/approach – First, suspicion data are prepared by using DM techniques. Also, DM methods are compared with traditional investigation techniques....

We present a study of the group purchasing behavior of daily deals in Groupon and LivingSocial and introduce a predictive dynamic model of collective attention for group buying behavior. In our model, the aggregate number of purchases at a given time comprises two types of processes: random...

This paper introduces a new tool — the wavelet-variance estimator — that measures the fraction of trading activity at each investment horizon. We find substantial cross-sectional variation in horizons, even for stocks with the same volume, size, and liquidity. Moreover, the fraction of...

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...

How do arbitrageurs find variables that predict returns? If a predictor lasts 30 days or more, then a clever arbitrageur can use his intuition to get the job done. But, what's an arbitrageur supposed to do if a predictor lasts 30 minutes or less? An arbitrageur's intuition is useless if the...

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...

We incorporate discrete tick size and allow non-high-frequency traders (non-HFTs) to supply liquidity in the framework of Budish, Cramton, and Shim (2015). When adverse selection risk is low or tick size is large, the bid-ask spread is typically below one tick, and HFTs dominate liquidity...

Stock exchange operators compete for order flow by setting "make" fees for limit orders and "take" fees for market orders. When traders quote continuous prices, they can choose prices that perfectly neutralize any fee division, and traders stream to the exchange with the lowest total fee. The...