Abstract
Stock market manipulation (SMM) is a small issue in developed market, for it only occurred on the over-the-counter (OTC) or regional market, while it is a much larger issue for emerging market, such as those in Turkey, Pakistan and China. Developing financial market is a very important part for developing countries. And SMM can hinder the development of the stock market by reducing market efficiency and making abnormal profit for manipulators. So it is significant to further deepen our understanding of how SMM occurs and relationship among related entities during the process, and then find some valid measures to avoid it. In this study, ontologies for the SMM in financial market are proposed. Three categories of ontologies, which include static ontology, dynamic ontology, and social ontology, are developed to deal with different perspectives in this domain. Finally, the case of Zhong Ke Manipulation (ZKM) is offered to demonstrate how the proposed ontologies are used in financial institutions.
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Siming, L., Huaiqing, W. (2011). Ontologis for Stock Market Manipulation. In: Jiang, L. (eds) Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25194-8_1
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DOI: https://doi.org/10.1007/978-3-642-25194-8_1
Publisher Name: Springer, Berlin, Heidelberg
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