CORDIS Project
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This project addresses the challenge of detecting insider trading in financial markets by modeling hidden information transfer among investors. It employs advanced data analysis techniques to identify suspicious trading patterns linked to insider information sharing.
Consider a scenario in a financial market where investors privately share important insider information within their social circles.
Although financial authorities could monitor investors' transactions, it remains challenging to identify which investors have received and are exploiting insider information. I term this scenario a hidden cascade problem, in which the true states of agents cannot be directly observed.
This particular form of cascade modelling, involving the inference of agent state…
TAMPEREEN KORKEAKOULUSAATIO SR
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