Characteristics of the Korean stock market correlations
Woo-Sung Jung,
Seungbyung Chae,
Jae-Suk Yang and
Hie-Tae Moon
Physica A: Statistical Mechanics and its Applications, 2006, vol. 361, issue 1, 263-271
Abstract:
We establish in this study a network structure of the Korean stock market, one of the emerging markets, with its minimum spanning tree through the correlation matrix. Based on this analysis, it is found that the Korean stock market does not form the clusters of the business sectors or of the industry categories. When the MSCI (Morgan Stanley Capital International Inc.) index is exploited, we find that the clusters of the Korean stock market is formed. This finding implicates that the Korean market, in this context, is characteristically different from the mature markets.
Keywords: Correlation-based clustering; Emerging market; Minimum spanning tree; Econophysics (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (38)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437105007181
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:eee:phsmap:v:361:y:2006:i:1:p:263-271
DOI: 10.1016/j.physa.2005.06.081
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().