Reputation is paramount to the competitive profile of buy-side firms, and insider trading is one of the most common threats to maintaining integrity. Adhering to regulation and knowing the top triggers for insider trading alerts can help firms avoid massive fines and penalties, and even worse, a damaged reputation.
In order to successfully recognize insider trading, it is important to have the technological capabilities in place to be able to identify when changes have occurred in the market that may indicate the flow of inside information.
This white paper explores how behavioural science technology can cut through data to help identify insider trading. It further examines how technology can identify suspicious trading, so teams can avoid the waves of false positives that occur from using systems which rely on mathematical models.