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(In)Stability properties of limit order dynamics
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Source Electronic Commerce archive
Proceedings of the 7th ACM conference on Electronic commerce table of contents
Ann Arbor, Michigan, USA
Pages: 120 - 129  
Year of Publication: 2006
ISBN:1-59593-236-4
Authors
Eyal EvenDar  University of Pennsylvania, Philadelphia, PA
Sham M. Kakade  Toyota Technological Institute, Chicago, IL
Michael Kearns  University of Pennsylvania, Philadelphia, PA
Yishay Mansour  Tel Aviv University, Tel Aviv, Israel
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

We study the stability properties of the dynamics of the standard continuous limit-order mechanism that is used in modern equity markets. We ask whether such mechanisms are susceptible to "buttery effects" --- the iniction of large changes on common measures of market activity by only small perturbations of the order sequence. We show that the answer depends strongly on whether the market consists of "absolute" traders (who determine their prices independent of the current order book state) or "relative" traders (who determine their prices relative to the current bid and ask). We prove that while the absolute trader model enjoys provably strong stability properties, the relative trader model is vulnerable to great instability. Our theoretical results are supported by large-scale experiments using limit order data from INET, a large electronic exchange for NASDAQ stocks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Eyal EvenDar: colleagues
Sham M. Kakade: colleagues
Michael Kearns: colleagues
Yishay Mansour: colleagues