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

Autoria(s): He, Xue-Zhong; Hamill, P.; Li, Youwei
Contribuinte(s)

Brabazon, A.

O'Neill, M.
Data(s)

2008
Identificador

http://pure.qub.ac.uk/portal/en/publications/can-trend-followers-survive-in-the-longrun-insights-from-agentbased-modelling(255c50bd-c900-4284-be81-e20beb99a3fa).html

http://dx.doi.org/10.1007/978-3-540-77477-8_14
Idioma(s)

eng
Publicador

Springer
Direitos

info:eu-repo/semantics/closedAccess
Fonte

He , X-Z , Hamill , P & Li , Y 2008 , Can trend followers survive in the long-run? Insights from agent-based modelling . in A Brabazon & M O'Neill (eds) , Natural Computing in Computational Finance . Springer , pp. 253-269 . DOI: 10.1007/978-3-540-77477-8_14
Tipo

contributionToPeriodical
Acesso ao item digital