Table 6.

The impact of day trading on the bid–ask spread (two-stage regression)

Dependent: S
Regression models(1)(2)(3)(4)
Intercept119.076*** (0.000)124.036*** (0.000)126.044*** (0.000)134.971*** (0.000)
DV1.615*** (0.000)1.170*** (0.000)1.579*** (0.000)1.239*** (0.000)
Turnover75.896*** (0.000)89.771*** (0.000)
Retp−0.161*** (0.000)−0.334*** (0.000)
Retn−0.243*** (0.000)−0.117*** (0.000)
DR0.044 (0.885)0.113 (0.709)0.089 (0.768)0.054 (0.858)
Size2.857*** (0.000)1.224*** (0.001)2.503*** (0.000)1.308*** (0.000)
MI−32.015*** (0.000)−31.480*** (0.000)−33.372*** (0.000)−31.793*** (0.000)
Weekday_EffectYesYesYesYes
Month_EffectYesYesYesYes
Adjusted-R20.0560.0580.0530.062
N137,253137,253137,253137,253

Note:

The following is the regression model for the analysis of day trading impact on the bid–ask spread using two-stage regression:

St,i=α+β1DVt,i+β2Turnovert,i+β3Retpt,i+β4Retnt,i+β5DRi+β6Sizei+β7MIt+εt

where St,i is bid–ask spread, DVt,i is the day trading volume, Turnovert,i is the turnover rate and Retpt,i and Retnt,i are positive and negative returns, respectively. All aforementioned variables are for stock i at day t. Moreover, DRt is the debt ratio for stock i, Sizet is the logarithm market value for stock i and MIt is the stock market index at day t. This table reports the results of the second stage of regression. The p-values are in parentheses.

***denotes the significance at the 1%

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