This paper uses transactions-level deeds records to examine how out-of-town second house buyers contributed to mispricing in the housing market. We document that out-of-town second house buyers behaved like misinformed speculators and drove up both house price and implied-to-actual rent ratio...

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...

This paper develops a model showing why traders might use coincidences to identify promising investment opportunities that are worth investigating further. The model predicts that, if both National Semiconductor and Sequans Communications realize top-10 returns (i.e., the semiconductor industry...

Companies have overlapping exposures to many different features that might plausibly affect their returns, like whether they're involved in a crowded trade, whether they're mentioned in an M&A rumor, or whether their supplier recently missed an earnings forecast. Yet, at any point in time, only...

We estimate that passive investors held 37.8% of the US stock market in 2020. This value comes from studying the closing volumes of index additions and deletions on reconstitution day. 37.8% is more than double the widely accepted previous estimate of 15%, which reflects index-fund holdings but...