The effect of screen for price
| Variable | All | Price(t) ≥ $1 | Price(t) ≥ $5 | Price(t + 1) ≥ $1 | Price(t + 1) ≥ $5 | AvgPrice ≥ $1 | AvgPrice ≥ $5 |
|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |
| IVOL | 0.8626 (0.99) | 0.4196 (0.48) | −0.6503 (−0.73) | 2.6923** (3.14) | 8.4361** (7.51) | 1.7637* (2.03) | 4.8036** (4.63) |
| N | 187,231 | 182,634 | 151,208 | 180,911 | 148,786 | 182,721 | 151,693 |
| R2 | 0.0313 | 0.0300 | 0.0331 | 0.0320 | 0.0532 | 0.0319 | 0.0391 |
| Controls | No | No | No | No | No | No | No |
| Industry FE | No | No | No | No | No | No | No |
| IVOL | 0.8143 (1.39) | 0.2863 (0.48) | −1.1268* (−2.08) | 2.4014** (3.66) | 7.9500** (8.03) | 1.6416* (2.61) | 4.8574** (5.60) |
| N | 180,717 | 176,468 | 146,385 | 174,856 | 144,166 | 176,563 | 146,914 |
| R2 | 0.1267 | 0.1290 | 0.1489 | 0.1296 | 0.1688 | 0.1288 | 0.1510 |
| Controls | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Industry FE | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Variable | All | ||||||
|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |
| 0.8626 (0.99) | 0.4196 (0.48) | −0.6503 (−0.73) | 2.6923** (3.14) | 8.4361** (7.51) | 1.7637* (2.03) | 4.8036** (4.63) | |
| 187,231 | 182,634 | 151,208 | 180,911 | 148,786 | 182,721 | 151,693 | |
| 0.0313 | 0.0300 | 0.0331 | 0.0320 | 0.0532 | 0.0319 | 0.0391 | |
| Controls | No | No | No | No | No | No | No |
| Industry FE | No | No | No | No | No | No | No |
| 0.8143 (1.39) | 0.2863 (0.48) | −1.1268* (−2.08) | 2.4014** (3.66) | 7.9500** (8.03) | 1.6416* (2.61) | 4.8574** (5.60) | |
| 180,717 | 176,468 | 146,385 | 174,856 | 144,166 | 176,563 | 146,914 | |
| 0.1267 | 0.1290 | 0.1489 | 0.1296 | 0.1688 | 0.1288 | 0.1510 | |
| Controls | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Industry FE | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Note(s): This table presents results of the analysis that examines the effect of screen for price on the estimated relation of idiosyncratic volatility (IVOL) with realized return (). Price(t) (Price (t + 1)) is stock price on 06/30 of t (t + 1) and AvgPrice is the average of Price(t) and Price (t + 1). The dependent variable () is stock return over 07/01 of t through 06/30 of t + 1, t = 1966 to 2015. is the idiosyncratic volatility measure, defined in Appendix 2. Industry FE stands for industry fixed effects. Controls stands for control variables, defined in Appendix 2. T-statistics in parentheses are adjusted for Newey-West autocorrelations of three lags. **, *, and † denote statistical significance at the 1, 5, and 10% levels, respectively, using a 2-tailed test
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