Abstract

http://ssrn.com/abstract=2023821
 


 



What’s Not There: The Odd-Lot Bias in TAQ Data


Maureen O'Hara


Cornell University - Samuel Curtis Johnson Graduate School of Management

Chen Yao


University of Warwick - Warwick Business School; University of Warwick

Mao Ye


University of Illinois at Urbana-Champaign

March 14, 2012

Johnson School Research Paper Series No. 16-2012
AFA 2013 San Diego Meetings Paper

Abstract:     
Odd-lots are trades for less than 100 shares of stock. These trades are missing from the TAQ data because they are not reported to the consolidated tape. We investigate the systematic bias that arises from the exclusion of odd lots from TAQ data. In our sample, the median number of missing trades per stock is 19%, but for some stocks missing trades are as high as 66% of total transactions. Missing trades are more pervasive for stocks with higher prices, lower liquidity, higher levels of information asymmetry and when volatility is low. We show that odd lot trades contribute 30 % of price discovery and trades of 100 shares contribute another 50 %, consistent with informed traders splitting orders into odd-lots and smaller trade sizes. The truncation of odd-lot trades leads to a significant bias for empirical measures such as order imbalance. The truncation also challenges the literature using trade size to proxy individual trades, and biases measures of individual sentiment. For example, Lee and Radhakrishna (2000) propose a $5000 cut-off value to identify individual (or retail) trades, but the odd lot truncation in TAQ data implies that any stock with price above $50 is truncated from the sample. These stocks, however, carry up to 70% of market value. Because odd-lot trades are more likely to arise from high frequency traders, we argue their exclusion from TAQ and the consolidated tape raises important regulatory issues.

Number of Pages in PDF File: 57

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Date posted: March 17, 2012 ; Last revised: March 18, 2014

Suggested Citation

O'Hara, Maureen and Yao, Chen and Ye, Mao, What’s Not There: The Odd-Lot Bias in TAQ Data (March 14, 2012). Johnson School Research Paper Series No. 16-2012; AFA 2013 San Diego Meetings Paper. Available at SSRN: http://ssrn.com/abstract=2023821 or http://dx.doi.org/10.2139/ssrn.2023821

Contact Information

Maureen O'Hara
Cornell University - Samuel Curtis Johnson Graduate School of Management ( email )
Ithaca, NY 14853
United States
607-255-3645 (Phone)
607-255-5993 (Fax)
Chen Yao
University of Warwick - Warwick Business School ( email )
Coventry CV4 7AL
United Kingdom
University of Warwick ( email )
Warwick Business School
Gibbet Hill Road
Coventry, West Midlands CV47AL
United Kingdom
+44 024 7652 2828 (Phone)
Mao Ye (Contact Author)
University of Illinois at Urbana-Champaign ( email )
406 Wohlers
1206 South 6th Street
Champaign, IL 61820
United States
2172440474 (Phone)
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