Low-latency liquidity inefficiency strategies

Oesch, Christian and Maringer, Dietmar. (2016) Low-latency liquidity inefficiency strategies. Quantitative finance, 17 (5). pp. 717-727.

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Official URL: http://edoc.unibas.ch/52787/

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The vast amount of high-frequency data heralds the use of new methods in financial data analysis and quantitative trading. This study delivers a proof-of-concept for a high frequency-based trading system based on an evolutionary computation method. Motivated by a theoretical liquidity asymmetry theorem from the market microstructure literature, grammatical evolution is used to exploit volume inefficiencies at the bid–ask spread. Using NASDAQ Historical TotalView-ITCH level two limit order book data, execution volumes can be tracked. This allows for testing of the strategies with minimal assumptions. The system evolves profitable and robust strategies with high returns and low risk.
Faculties and Departments:06 Faculty of Business and Economics > Departement Wirtschaftswissenschaften > Professuren Wirtschaftswissenschaften > Computational Economics and Finance (Maringer)
UniBasel Contributors:Maringer, Dietmar and Oesch, Christian
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Taylor & Francis
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:09 May 2017 11:15
Deposited On:09 May 2017 11:15

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