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 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 argue that a one-penny minimum tick size for all stocks priced above $1 (SEC rule 612) encourages high-frequency trading and taker/maker–fee markets. We find that non-high frequency traders (non-HFTers) are 2.62 times more likely than HFTers to provide best prices, thereby establishing...

Economists usually assume that price and quantity are continuous variables, while most market designs, in reality, impose discrete tick and lot sizes. We study a firm’s trade-off between these two discretenesses in U.S. stock exchanges, which mandate a one-cent minimum tick size and a...

This paper extends the Kyle (1985) framework to allow both endogenous price and endogenous execution probability. I use the model to examine the market outcome when the informed trader can split trades between an exchange and a crossing network (dark pool). The crossing network reduces price...

This paper proposes the first tractable rational expectation equilibrium model that includes both endogenous price and endogenous execution probability. I use the model to examine the market outcome when the informed trader can split trades between an exchange and a crossing network (dark pool)...

To solve the problem of poor performance of deep neural network models due to insufficient data, a simple yet effective interpolation-based data augmentation method is proposed: MSMix (Manifold Swap Mixup). This method feeds two different samples to the same deep neural network model, and then...