Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80215
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Title: Institutional trading and Abel Noser data
Authors: Hu, G 
Jo, KM 
Wang, YA 
Xie, J 
Issue Date: Oct-2018
Source: Journal of corporate finance, Oct. 2018, v. 52, p. 143-167
Abstract: We survey the growing academic literature using Abel Noser data, including 55 publications thus far. We analyze publication patterns to explore how the availability of a specialized microstructure dataset propagates across different areas within finance and into other disciplines such as accounting. Of note, we identify corporate finance and accounting as the most under-researched areas that offer promising opportunities for future academic research using the data. To provide guidance for researchers interested in using Abel Noser data, we analyze institutional trading using transaction-level data spanning more than 12 years and covering 233 million transactions with $37 trillion traded. We provide background information on the origin and history of the data, offer suggestions for cleaning and using the data, and discuss (dis)advantages of Abel Noser compared to other data sources for institutional trading. We also document two simple facts: 1) institutional trade sizes decline dramatically over time, rendering trade size based inferences of institutional trades problematic; 2) we estimate that Abel Noser data cover 12% of CRSP volume over our sample period and 15% for 1999-2005, significantly higher than the estimate in Puckett and Yan (2011) for 1999-2005: 8%, a widely quoted number in the literature. This background should prove useful for researchers seeking to address a number of as yet unexplored issues, especially in corporate finance and accounting research.
Keywords: Institutional Investor
Trading
Abel Noser
ANcerno
Accounting
Corporate finance
Investments
Market microstructure
Publisher: Elsevier
Journal: Journal of corporate finance 
ISSN: 0929-1199
DOI: 10.1016/j.jcorpfin.2018.08.005
Rights: © 2018 Elsevier B.V. All rights reserved.
© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Hu, G., Jo, K. M., Wang, Y. A., & Xie, J. (2018). Institutional trading and Abel Noser data. Journal of Corporate Finance, 52, 143-167 is available at https://doi.org/10.1016/j.jcorpfin.2018.08.005.
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