http://hdl.handle.net/10453/260 2013-05-22T23:46:49Z 2013-05-22T23:46:49Z Morrison Kevin Giurco Damien http://hdl.handle.net/10453/19400 2012-10-12T03:37:02Z 2011-01-01T00:00:00Z

The future of Australia's mineral wealth: Leasing to support an ageing population Morrison Kevin; Giurco Damien Saydam, S.

2011-01-01T00:00:00Z De Valence Gerard http://hdl.handle.net/10453/7511 2010-05-18T06:53:00Z 2007-01-01T00:00:00Z

Procurement, Innovation and Competitiveness in the Construction Industry De Valence Gerard London, K; Thayarapen, G; Chen, j.

2007-01-01T00:00:00Z Platen Eckhard http://hdl.handle.net/10453/7508 2010-05-18T06:52:58Z 2001-01-01T00:00:00Z

A Minimal Financial Market Model Platen Eckhard Kohlman M, Tang S

2001-01-01T00:00:00Z Debenham John http://hdl.handle.net/10453/2172 2010-07-13T01:15:19Z 2002-01-01T00:00:00Z

Identifying Arbitrage Opportunities in E-Markets Debenham John Bauknecht K; Tjoa A M; Quirchmayr G A market is in equilibrium if there is no opportunity for arbitrage, ie: risk-free, or low-risk, profit. The majority of real markets are not in equilibrium. A project is investigating the market evolutionary process in a particular electronic market that has been constructed in an on-going collaborative research project between a university and a software house. The way in which actors (buyers, sellers and others) use the market will be influenced by the information available to them. In this experiment, data mining and filtering techniques are used to distil both individual signals drawn from the markets and signals from the Internet into meaningful advice for the actors. The goal of this experiment is first to learn how actors will use the advice available to them to identify arbitrage opportunities, and second how the market will evolve through entrepreneurial intervention. In this electronic market a multiagent process management system is used to manage all market transactions including those that drive the market evolutionary process.

2002-01-01T00:00:00Z