The Market Fraction Hypothesis under Different Genetic Programming Algorithms

The Market Fraction Hypothesis under Different Genetic Programming Algorithms

Michael Kampouridis (University of Essex, UK), Shu-Heng Chen (National Cheng Chi University, Taiwan) and Edward Tsang (University of Essex, UK)
DOI: 10.4018/978-1-61350-162-7.ch003
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Abstract

In a previous work, inspired by observations made in many agent-based financial models, we formulated and presented the Market Fraction Hypothesis, which basically predicts a short duration for any dominant type of agents, but then a uniform distribution over all types in the long run. We then proposed a two-step approach, a rule-inference step, and a rule-clustering step, to test this hypothesis. We employed genetic programming as the rule inference engine, and applied self-organizing maps to cluster the inferred rules. We then ran tests for 10 international markets and provided a general examination of the plausibility of the hypothesis. However, because of the fact that the tests took place under a GP system, it could be argued that these results are dependent on the nature of the GP algorithm. This chapter thus serves as an extension to our previous work. We test the Market Fraction Hypothesis under two new different GP algorithms, in order to prove that the previous results are rigorous and are not sensitive to the choice of GP. We thus test again the hypothesis under the same 10 empirical datasets that were used in our previous experiments. Our work shows that certain parts of the hypothesis are indeed sensitive on the algorithm. Nevertheless, this sensitivity does not apply to all aspects of our tests. This therefore allows us to conclude that our previously derived results are rigorous and can thus be generalized.
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The Market Fraction Hypothesis

Within a market there exist different types of trading strategies. For instance, the fundamentalist-chartist model informs us that in the market there are two types of strategies, the fundamental and the chartist. The MFH tells us that the fraction among these types of strategies keeps changing (swinging) overtime. The following two statements are the basic constituents of the MFH, as presented in (Chen et al., 2011; Kampouridis et al., 2010).

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