Dimensionality reduction techniques to support insider trading detection

By Adele Ravagnani, Fabrizio Lillo, Paola Deriu, Piero Mazzarisi, Francesca Medda, Antonio Russo

Published 2024-05-08

Everscope rating

1390.6

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Unsupervised anomaly detection. Problem types: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning.

arXiv:2403.00707 · Paper rankings

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