
handle: 10419/100677
It is a stylized fact that trade indicator models (e.g. Madhavan, Richardson, and Roomans (1997) and Huang and Stoll (1997)) underestimate the bid-ask spread. We argue that this negative bias is due to an endogeneity problem which is caused by a negative correlation between the arrival of public information and trade direction. In our sample (the component stocks of the DAX30 index) we find that the the average correlation between these variables is -0.193. We develop modified estimators and show that they yield essentially unbiased spread estimates.
trade indicator model,information asymmetry,spread estimation, information asymmetry, 330, ddc:330, G14, G12, trade indicator model, spread estimation, jel: jel:G14, jel: jel:G12
trade indicator model,information asymmetry,spread estimation, information asymmetry, 330, ddc:330, G14, G12, trade indicator model, spread estimation, jel: jel:G14, jel: jel:G12
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
