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dc.contributor.authorSmales, Lee
dc.contributor.authorThul, M.
dc.date.accessioned2017-01-30T13:27:50Z
dc.date.available2017-01-30T13:27:50Z
dc.date.created2016-07-13T19:30:17Z
dc.date.issued2016
dc.identifier.citationSmales, L. and Thul, M. 2016. A game theory model of regulatory response to insider trading. Applied Economics Letters.24 (7): pp. 448-455.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/31859
dc.identifier.doi10.1080/13504851.2016.1200179
dc.description.abstract

We develop a model which can help in explaining the evolving regulatory regime around insider trading. We form a simple sequential game-theoretical model of insider trading transactions and, utilizing Monte Carlo simulation to determine equilibrium, we show that costly investigations and low penalties incentivize traders to engage in illegal transactions. While the model helps to explain stiffer action by regulatory bodies, the question remains as to whether the elevated penalty levels are sufficient to prevent further insider trading.

dc.publisherRoutledge
dc.titleA game theory model of regulatory response to insider trading
dc.typeJournal Article
dcterms.source.startPage1
dcterms.source.endPage8
dcterms.source.issn1350-4851
dcterms.source.titleApplied Economics Letters
curtin.note

This is an Author's Original Manuscript of an article published by Taylor & Francis in Applied Economics Letters on 30/06/2016 available online at <a href="http://www.tandfonline.com/10.1080/13504851.2016.1200179">http://www.tandfonline.com/10.1080/13504851.2016.1200179</a>

curtin.departmentDepartment of Finance and Banking
curtin.accessStatusOpen access


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