The Accuracy of Trade Classification Rules: Evidence from NASDAQ
By K. Ellis, Roni Michaely, Maureen O’Hara. 2000
476 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/7d2042e5f7fe4184429b0fff91e6af7cc7b582b3
How researchers see this paper
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In Economics and Econometrics
- Maureen O’Hara
- David A. Easley
- Soeren Hvidkjaer
- Yu Yuan
- Avanidhar Subrahmanyam
- Paul C. Tetlock
- Eric K. Kelley
- Terry Shevlin
In Finance
- Maureen O’Hara
- Soeren Hvidkjaer
- David A. Easley
- Ryan Lafond
- Amit Goyal
- Jeffrey Ng
- Daniel A. Cohen
- Christian Leuz
In Management Science and Operations Research
Citations in the corpus
- Corporate Governance and Institutional Ownership (2010, unknown): “, Falkenstein (1996), Huang (2009)) but avoid firms with greater return volatility (see, e.”
- Trading activity, realized volatility and jumps (2010, unknown): “Among the trade variables, average trade size (ATS) 3Odders-White (2000) and Ellis, Michaely, and O’Hara (2000) document that the Lee and Ready algorithm correctly classifies more than 80% of the transactions in their respective samples and that trades executed inside the spread are more likely to…”
- Is Information Risk a Determinant of Asset Returns (2002, result): “This latter finding, while inconsistent with standard asset-pricing theory, is consistent with the findings of Fama and French (1992), Chalmers and Kadlec (1998) and Datar, Naik and Radcliffe (1998) who investigate similar sample periods.”
- Corporate Governance and Liquidity (2010, unknown): “We estimate Di,τ using the algorithm in Ellis, Michaely, and O’Hara (2000).”
- Cross-Listing, Price Discovery and the Informativeness of the Trading Process (2006, unknown): “6 Ellis et al. (2000) and Odders-White (2000) have compared alternative classification rules.”