Abstract
Considering the importance of stock market in the national financial system, it requires the market regulator to avoid any illegal behaviors in the market. This paper establishes an agent-based modeling simulation model system based on Swarm in order to study the regulation of trading-based market manipulation carried out by institutional investors. Following the simulation model system establishing, a series of simulation experiments in different market situations are implemented based on the simulation model system. And the experiment results verify the effects of so called “self-adaptive regulation”.
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References
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Liu, S. (2015). Modeling and Simulation for the Regulation of Trading-Based Market Manipulation in Stock Market Based on Swarm. In: Li, M., Zhang, Q., Zhang, R., Shi, X. (eds) Proceedings of 2014 1st International Conference on Industrial Economics and Industrial Security. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44085-8_29
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DOI: https://doi.org/10.1007/978-3-662-44085-8_29
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44084-1
Online ISBN: 978-3-662-44085-8
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