@inproceedings{db46d388cb2b45df8d48b2f9d94395cd,
title = "Identifying suspicious cases in the hong kong stock market using commentators{\textquoteright} stock news",
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.",
keywords = "Correlation coefficient, Stock news analysis, Stock price manipulation, Suspicious case",
author = "Li Quan and LAI, {Jean H Y}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 11th International Conference on Genetic and Evolutionary Computing, 2017 ; Conference date: 06-11-2017 Through 08-11-2017",
year = "2018",
doi = "10.1007/978-981-10-6487-6_6",
language = "English",
isbn = "9789811064869",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "44--51",
editor = "Shu-Chuan Chu and Lin, {Jerry Chun-Wei} and Chien-Ming Chen and Jeng-Shyang Pan",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing",
address = "Germany",
}
