The Stock Market as a Game: An Agent Based Approach to Trading in Stocks

Engle, Eric

doi:10.2139/ssrn.1270025

Abstract

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The Stock Market as a Game: An Agent Based Approach to Trading in Stocks

Eric Engle

Humboldt University of Berlin - Faculty of Law

September, 18 2008

Abstract:
An agent based game theoretical approach to using artificial intelligence to model the stock market. The paper argues stock market can be meaningfully modeled from a game theoretical perspective using an agent based methodology of artificial intelligence.

Number of Pages in PDF File: 18

Keywords: agent, game theory, artificial intelligence, AI, stock market.

JEL Classification: C7, C8, D8

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Date posted: September 22, 2008

Suggested Citation

Engle, Eric Allen, The Stock Market as a Game: An Agent Based Approach to Trading in Stocks (September, 18 2008). Available at SSRN: http://ssrn.com/abstract=1270025 or http://dx.doi.org/10.2139/ssrn.1270025

Contact Information

Eric Allen Engle (Contact Author)

Humboldt University of Berlin - Faculty of Law ( email )

Unter den Linden 6
Berlin, D-10099
Germany