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title:
 
Complexity and entropy density analysis of the Korean stock market
publication:
 
JCIS-2006 Proceedings
part of series:
  Advances in Intelligent Systems Research
ISBN:
  978-90-78677-01-7
ISSN:
  1951-6851
DOI:
  doi:10.2991/jcis.2006.97 (how to use a DOI)
author(s):
 
Jeong won Lee, Joongwoo Park, Hang-Hyun Jo, Jae-Suk Yang, Hie-Tae Moon
corresponding author:
 
Jeong won Lee
publication date:
 
October 2006
keywords:
 
Econophysics, Computational mechanics, Epsilon-machine, Statistical complexity, Entropy density
abstract:
 
In this paper, we studied complexity and entropy density of stock market by modeling epsilon-machine of Korean Composition Stock Price Index (KOSPI) from year 1992 to 2003 using causal-state splitting reconstruction (CSSR) algorithm.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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