Resumo

DUARTE DUARTE, Juan Benjamin; TALERO SARMIENTO, Leonardo Hernán  e  SIERRA SUAREZ, Katherine Julieth. Evaluation of the effect of investor psychology on an artificial stock market through its degree of efficiency. Contad. Adm [online]. 2017, vol.62, n.4, pp.1345-1360. ISSN 0186-1042.  https://doi.org/10.1016/j.cya.2017.06.014.

The main objective of this article is to develop a Cellular Automaton Model in which more than one type of stockbroker interact, and where the use and exchange of information between investors describe the complexity measured through the estimation of the Hurst exponent. This exponent represents an efficient or random market when it has a value equal to 0.5. Thanks to the various proposals, it can be determined in this investigation that a rational component must exist in the simulator in order to generate an efficient behavior.

Palavras-chave : Cellular automata; Complexity; Hurst exponent; Investor psychology; G140; G170; G190.