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Dimensionality reduction techniques to support insider trading detection
Identification of market abuse is an extremely complicated activity that requires the analysis of large and complex datasets.
A machine learning approach to support decision in insider trading detection
The first one uses clustering to identify, in the vicinity of a price sensitive event such as a takeover bid, discontinuities in the trading activity of an investor with respect to his/her own past trading history and on the present trading activity of his/her peers.
How Covid mobility restrictions modified the population of investors in Italian stock markets
There are thus indications that the lockdown, and more generally the Covid pandemic, created a sort of regime change in the population of financial investors.
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