EVALUATION OF LONG-TERM MEMORY IN COLOMBIAN STOCK MARKET BY HURST COEFFICIENT, EVALUACION DE LA MEMORIA DE LARGO PLAZO DEL MERCADO BURSATIL COLOMBIANO MEDIANTE EL COEFICIENTE DE HURST
Juan Benjamin Duarte Duarte,
Katherine Julieth Sierra Suarez and
Juan Manuel Mascarenas Perez-Inigo
Revista Internacional Administracion & Finanzas, 2014, vol. 7, issue 4, 1-10
Abstract:
The efficient market hypothesis states that financial asset returns follow a random walk and depend on the information made available to the market instantly, therefore they can not be predicted. On the other hand, the Fractal market hypothesis says that prices depend of each behavior investor and his investment horizon, producing chaotic behavior in the markets. This paper tests the existence of chaotic behavior in major financial series of the Colombian stock market using the Hurst coefficient, whose estimation can be affected by autocorrelation. Therefore, the first part of the methodology focuses on removing the autocorrelations by ARIMA and GARCH filters, while the second part corresponds to the detectection of behavior by calculating the Hurst coefficient. The results reveal that the Colombian financial assets are persistent.
Keywords: Chaos Theory; EMH; FMH; GARCH; ARIMA (search for similar items in EconPapers)
JEL-codes: C01 C22 D52 G14 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.theibfr2.com/RePEc/ibf/riafin/riaf-v7n4-2014/RIAF-V7N4-2014-1.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibf:riafin:v:7:y:2014:i:4:p:1-10
Access Statistics for this article
Revista Internacional Administracion & Finanzas is currently edited by Terrance Jalbert
More articles in Revista Internacional Administracion & Finanzas from The Institute for Business and Finance Research
Bibliographic data for series maintained by Mercedes Jalbert ( this e-mail address is bad, please contact ).