Stock Market Manipulation Detection using Artificial Intelligence: A Concise Review-Reference-Cited by-同舟云学术

Stock Market Manipulation Detection using Artificial Intelligence: A Concise Review

Published:2021-12-07 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Decision Aid Sciences and Application (DASA)
language:
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Author:

Zulkifley Mohd Asyraf¹,Abd Sukor Mohd Edil²,Munir Ali Fayyaz³,Mohd Shafiai Muhammad Hakimi⁴

Affiliation:

1. Universiti Kebangsaan Malaysia,Department of Electrical, Electronic and Systems Engineering,Bangi,Malaysia

2. Universiti Malaya,Faculty of Business and Accountancy,Department of Finance and Banking,Kuala Lumpur,Malaysia

3. Virtual University of Pakistan,Faculty of Management,Lahore,Pakistan

4. Universiti Kebangsaan Malaysia,Center of Sustainable and Inclusive Development Faculty of Economics and Management,Bangi,Malaysia

Funder

Universiti Kebangsaan Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9681917/9681918/09682322.pdf?arnumber=9682322

Reference42 articles.

1. Price manipulation fraud detection by Intelligent Visual Fraud surveillance system

2. Possibilities of preventing manipulative transactions on the stock market in the con-ditions of new industrialization;zaborovskaya;Proceedings of the 2nd International Scientific conference on New Industrialization Global national regional dimension (SICNI 2018),0

3. An agent-based model and detect price manipulation based on intraday transaction data with simulation

4. A Machine Learning Approach to Detection of Trade-Based Manipulations in Borsa Istanbul

5. Comparative Analysis for Fraud Detection Using Logistic Regression, Random Forest and Support Vector Machine

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