In financial markets, abnormal trading behaviors pose a serious challenge to
market surveillance and risk management. What is worse, there is an increasing
emergence of abnormal trading events that some experienced traders constitute a
collusive clique and collaborate to manipulate some instruments, thus mislead
other investors by applying similar trading behaviors for maximizing their
personal benefits.
Futures trading is the core of futures business, and it is considered as one
of the typical complex systems. To investigate the complexity of futures
trading, we employ the analytical method of complex networks. First, we use
real trading records from the Shanghai Futures Exchange to construct futures
trading networks, in which nodes are trading participants, and two nodes have a
common edge if the two corresponding investors appear simultaneously in at
least one trading record as a purchaser and a seller respectively.