Automating Financial Surveillance

نویسندگان

  • Maria Milosavljevic
  • Jean-Yves Delort
  • Ben Hachey
  • Bavani Arunasalam
  • Will Radford
  • James R. Curran
چکیده

Financial surveillance technology alerts analysts to suspicious trading events. Our aim is to identify explainable false positives (e.g., caused by price-sensitive information in company news) and explainable true positives (e.g., caused by ramping in forums) by aligning these alerts with publicly available information. Our system aligns 99% of alerts, which will speed the analysts’ task by helping them to eliminate false positives and gather evidence for true positives more rapidly.

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تاریخ انتشار 2009