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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Machine Language Advancements in Identification of Insider Trading |
| Authors Name: | Divyank Gupta , Saumya Joshi , Samarth Jain , Radhika Baid |
| Unique Id: | IJSDR2211070 |
| Published In: | Volume 7 Issue 11, November-2022 |
| Abstract: | As Information Technology has progressed over time, issues like noise and multiple data sources have made it a tedious assignment to identify insider trading. A trading is known as illegal insider trading when people privy to the information which is not available to the general public indulge in trading based on this information. They may be people working in the company who have access to confidential information or their relatives, friends or others who have been tipped off about the information. Illegal insider trading might have been going on for decades, but these were going unnoticed in most of the cases. With the development of Machine Learning, it has become possible to design software that has made it easy to assess the data and identify illegal insider trading. In this review paper, we aim to compare the various models that researchers and experts have proposed over time and scale down to the most accurate ones in terms of variety in industry and information. |
| Keywords: | Illegal Insider Trading; Legal Insider Trading; Artificial Intelligence, Machine Learning; Extreme Gradient Boost; SEBI; Decision Tree; Dense Neural Network; Random Forest Classifier. |
| Cite Article: | "Machine Language Advancements in Identification of Insider Trading", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.442 - 446, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211070.pdf |
| Downloads: | 000337068 |
| Publication Details: | Published Paper ID: IJSDR2211070 Registration ID:202561 Published In: Volume 7 Issue 11, November-2022 DOI (Digital Object Identifier): Page No: 442 - 446 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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