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Price Clustering: Evidence Using Comprehensive Limit‐Order Data
Author(s) -
Chiao Chaoshin,
Wang ZiMay
Publication year - 2009
Publication title -
financial review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.621
H-Index - 47
eISSN - 1540-6288
pISSN - 0732-8516
DOI - 10.1111/j.1540-6288.2008.00208.x
Subject(s) - limit (mathematics) , cluster analysis , order (exchange) , econometrics , cluster (spacecraft) , limit price , economics , computer science , mathematics , statistics , price level , monetary economics , finance , mathematical analysis , programming language
Employing comprehensive limit‐order data which identify investor types, this paper examines the clustering pattern of limit‐order prices. First, limit orders, particularly those submitted by individual investors (IIs), tend to cluster at integer and even prices. Second, nonmarketable limit‐order prices cluster more than marketable limit‐order prices, indicating that aggressive limit orders generally embed more information. Third, investors choosing even‐priced limit orders are not penalized by lower execution ratios. Fourth, investors (particularly IIs) strategically exhibit front‐running behavior. Fifth, price clustering indeed creates price barriers. Finally, the degree of price clustering using trade data is significantly underestimated, compared to that using limit‐order data.

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