Matching Rules and Market Share in an Electronic Trading Platform

Abstract

In this thesis we study the problem of how to effectively manage and operate a market that attracts trading agents to compete for resources in it. In order to attract more agents to the market, the market needs to have incentive policies. We are particularly interested in the research of the incentive matching policy. We propose a new matching policy with loyalty incentive features. In order to cooperate and improve its performance, we also propose a new accepting policy to work with the matching policy. We use the CAT platform as our test-bed. We describe all the policies and techniques used in the CAT competition in detail. In addition we carry out experiments which further support our proposal.