Can trend followers survive in the long-run? Insights from agent-based modeling

Xue Zhong He*, Philip Hamill, Youwei Li

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

This chapter uses a simple stochastic market fraction (MF) asset pricing model to investigate market dominance, profitability, and how traders adopting fundamental analysis or trend following strategies can survive under various market conditions in the long/short-run. This contrasts with the modern theory of finance which relies on the paradigm of utility maximizing representative agents and rational expectations assumptions which some contemporary theorists regard as extreme. This school of thought would predict that trend followers will be driven out of the markets in the long-run. Our analysis shows that in a MF framework this is not necessarily the case and that trend followers can survive in the long-run.

Original languageEnglish
Title of host publicationNatural Computing in Computational Finance
EditorsAnthony Brabazon, Michael O'Neill
Pages253-269
Number of pages17
DOIs
Publication statusPublished - 2008
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume100
ISSN (Print)1860-949X

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