Advertisement
Published in:
2018 | OriginalPaper | Chapter
Identifying Suspicious Cases in the Hong Kong Stock Market Using Commentators’ Stock News
Authors : Li Quan, Jean Lai
Published in: Genetic and Evolutionary Computing
Publisher: Springer Singapore
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
Stock market is one of the most active secondary markets in the finance industry. Investors buy and sell stocks there. Regulators are in place to offer a fair place for trading. Unfortunately, market manipulation of different forms still exists. Limited researches worked on this area due to restriction in data supply. Exchanges and regulators do not offer full order book to the public. Without a full order book, it is difficult to locate the fraud intention of manipulator. This paper introduces a new method to identify suspicious cases: identifying suspicious cases by parsing the stock recommendation news written by stock commentators. Some suspicious cases are found in the study.