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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...
Persistent link: https://www.econbiz.de/10012971759
Independent technological glitches forced two separate trading halts on different U.S. exchanges during the week of July 6, 2015. During each halt, all other exchanges remained open. We exploit exogenous variation provided by this unprecedented coincidence, in conjunction with a proprietary...
Persistent link: https://www.econbiz.de/10012986006
Independent technological glitches forced two separate trading halts on different exchanges during the week of July 6, 2015. During each halt, all other exchanges remained open. We exploit exogenous variation provided by this unprecedented coincidence, in conjunction with a novel proprietary...
Persistent link: https://www.econbiz.de/10012990070
Persistent link: https://www.econbiz.de/10011754509
Persistent link: https://www.econbiz.de/10011818240
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...
Persistent link: https://www.econbiz.de/10012453781
Persistent link: https://www.econbiz.de/10012094240
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...
Persistent link: https://www.econbiz.de/10012969137
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...
Persistent link: https://www.econbiz.de/10013005478
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...
Persistent link: https://www.econbiz.de/10012950057