What is it about?
The purpose of this paper was to develop a methodology for identifying implicit collusion of financial market participants based on Text Mining tools. Concurrent with the traditional comparison of data on the trading volumes and price of individual securities, which let us visualize abnormal dynamics, the extracting sentiment method was utilized to accomplish this objective.
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Why is it important?
The digitalization of the securities market provides participants of financial markets with new opportunities, which require specific methods to monitor market safety and identify violations.
Perspectives
The results demonstrated five main combinations of measures, which describe specific exchange situations, based on which it is likely to identify possible collusion of stock market participants. The classification of the information field is presented to determine the type of information that has the greatest impact on the dynamics of the course.
Dr Majid Mohammad shafiee
Department of Management, Faculty of Administrative Sciences & Economics, University of Isfahan
Read the Original
This page is a summary of: Identification of Implicit Collusion of Investors in Financial Markets by Text Mining Tools, Singapore Journal of Scientific Research, August 2023, Science Alert,
DOI: 10.3923/sjsr.2023.69.78.
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