Empirical Analysis of Limit Order Markets
Burton Hollifield (),
Robert Miller and
Patrik Sandas
GSIA Working Papers from Carnegie Mellon University, Tepper School of Business
Abstract:
This paper analyzes order placement strategies in a limit order market. Traders submitting market or limit orders to the limit order book trade off the order price, the execution probability, and the winner's curse risk associated with different feasible order choices. Their optimal order strategy is characterized by a monotone function which maps the liquidity demand of the investors into their subjective execution probabilities. The primitives of this model are the time varying shock that is common to all valuations, as well as the probability distribution of private valuations, assumed to be a time invariant, independently and identically distributed random variable. Using data from the Stockholm Stock Exchange, we compute a semiparametric estimator of the primitives underlying the model. The estimated order strategies are consistent with the theoretical trade-offs. Specification tests based on the monotonicity of the optimal order strategy finds little evidence against the monotonicity restrictions.
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://chinook.tepper.cmu.edu/rev-paper.pdf
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to chinook.tepper.cmu.edu:80 (nodename nor servname provided, or not known)
Related works:
Journal Article: Empirical Analysis of Limit Order Markets (2004) 
Working Paper: Empirical Analysis of Limit Order Markets (2001) 
Working Paper: An Empirical Analysis of Limit Order Markets 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cmu:gsiawp:-290183991
Ordering information: This working paper can be ordered from
https://student-3k.t ... /gsiadoc/GSIA_WP.asp
Access Statistics for this paper
More papers in GSIA Working Papers from Carnegie Mellon University, Tepper School of Business Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890.
Bibliographic data for series maintained by Steve Spear ().