Firms Tap AI to Leverage Trade Reconstruction for Surveillance
A lack of data has historically been an obstacle to applying machine learning for regulator-mandated trade reconstruction initiatives, but the recent, explosive growth of digital information could change that—while making trade reconstruction more relevant to financial firms’ commercial activities.
Whisper it quietly, but regulation may not be the all-consuming burden that some claim it to be. Or, at least, firms are beginning to see the potential fruits of their labors. For example, recent regulations are helping firms derive benefits from a significant post-trade process—trade reconstruction.
At a basic level, trade reconstruction is the process of searching records related to trades and building cases around them. To reconstruct a trade that has taken place, a researcher needs to know
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