Game Analysis and Simulation Model Design for Research on the Regulation of Trading- Based Market Manipulation in Stock Market

Shuo Liu ()
Additional contact information
Shuo Liu: Beijing Jiaotong University

A chapter in LISS 2014, 2015, pp 1789-1794 from Springer

Abstract: Abstract Based on the superiority of game theory in research of the relationships among the players, this thesis analyzes the regulation of trading-based market manipulation in stock market carried out by large investors. A one-time game model is built to explain the reason why the large investors can manipulate the stock price by stock trading, and then reflect the key factors which influence the profits of them. A self-adaptive regulation strategy is proposed based on game analysis. Finally, this thesis designs an agent-based modeling simulation model for experiments in order to verify the research conclusions.

Keywords: Regulation; Game theory; Market manipulation; Simulation (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_258

Ordering information: This item can be ordered from
http://www.springer.com/9783662438718

DOI: 10.1007/978-3-662-43871-8_258

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().