The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model

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

Research output: Articles / NotesScientific Articlepeer-review


The aim of this research is to evaluate the complexity level of Latin-American stock market using a cellular automaton model. For this purpose six indexes are studied: COLCAP, IPSA, MERVAL, MEXBOL, SPBLPGPT and IBOV respectively, during the period 2004 and 2016. The series are analyzed from their statistical behavior, adjustment of returns and estimation of its complexity. The last one is contrasted with the complexity level obtained simulating an artificial stock market model. Concluding that although Latin-American stock markets present differences they have similar tendencies and their complexity level cannot be predicted by a purely behavioral cellular automaton model.
Original languageSpanish (Colombia)
Pages (from-to)199
Number of pages223
JournalApuntes del CENES
Issue number64
StatePublished - 20 Jun 2017

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