@inproceedings{09269107a9604d55aad8dfce2cfdf07b,
title = "Detecting wash trade in the financial market",
abstract = "Wash trade refers to the activities of traders who utilise deliberately designed collusive transactions to increase the trading volumes for creating active market impression. Wash trade can be damaging to the proper functioning and integrity of capital markets. Existing work focuses on collusive clique detections based on certain assumptions of trading behaviours. Effective approaches for analysing and detecting wash trade in a real-life market have yet to be developed. This paper proposes a new analysis approach for abstracting the basic structures of wash trade based on the network topology theory and a novel approach for detecting wash trade activities. The evaluation experiments conducted on four NASDAQ stocks suggest that wash trade actions can be effectively identified based on the proposed algorithm.",
author = "Yi Cao and Yuhua Li and Sonya Coleman and Ammar Belatreche and McGinnity, {T. M.}",
year = "2014",
month = oct,
day = "14",
doi = "10.1109/CIFEr.2014.6924058",
language = "English",
series = "IEEE/IAFE Conference on Computational Intelligence for Financial Engineering, Proceedings (CIFEr)",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "85--91",
editor = "Almeida, {Rui Jorge} and Dietmar Maringer and Vasile Palade and Antoaneta Serguieva",
booktitle = "2014 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr Proceedings",
note = "2014 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr 2014 ; Conference date: 27-03-2014 Through 28-03-2014",
}