Evaluation of the effect of investor psychology on an artificialstock market through its degree of efficiency

Translated title of the contribution: Evaluation of the effect of investor psychology on an artificialstock market through its degree of efficiency

Juan Benjamin Duarte Duarte, Leonardo Hernán Talero Sarmiento, Katherine Julieth Sierra Suárez

Research output: Articles / NotesScientific Articlepeer-review

1 Scopus citations

Abstract

The main objective in this paper is developing a cellular automaton model where interact more than one kind of broker, where the use and exchange of information between the investors explain the complexity through the Hurst coefficient estimation, this, represents an efficient or random market when the value is equal to 0.5. Due to the variants proposed in this research it can be determined that should exist a rational component in the simulator in order to generate an efficient behavior.

Translated title of the contributionEvaluation of the effect of investor psychology on an artificialstock market through its degree of efficiency
Original languageEnglish
Pages (from-to)1345-1360
Number of pages16
JournalContaduria y Administracion
Volume62
Issue number4
DOIs
StatePublished - Oct 2017
Externally publishedYes

Keywords

  • Cellular automata
  • Complexity
  • Hurst exponent
  • Investor psychology

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