A comparison of k-means and fuzzy c-means clustering methods for a sample of Gulf Cooperation Council stock markets
| Year of publication: |
2014
|
|---|---|
| Authors: | Al-Augby, Salam ; Majewski, Sebastian ; Majewska, Agnieszka ; Nermend, Kesra |
| Published in: |
Folia oeconomica Stetinensia : FOS. - Szczecin : Wydawn. Naukowe Uniw. SzczeciĆskiego, ISSN 1730-4237, ZDB-ID 2672877-1. - Vol. 14.2014, 2, p. 19-36
|
| Subject: | news | k-means | GCC | stock market | fuzzy c-means | Arabische Golf-Staaten | Gulf countries | Aktienmarkt | Stock market | Fuzzy-Set-Theorie | Fuzzy sets |
-
Are digital assets backstops for GCC stock markets in COVID-19-led financial crisis?
Loukil, Sahar, (2021)
-
Covid-19 and its impact on the stock market in GCC
Salman, Asma, (2024)
-
Modelling asymmetry in oil, gold and stock markets by a hidden cointegration technique
Hatemi-J, Abdulnasser, (2015)
- More ...
-
Skewness, propensity to risk and risk pyramid for aggressive investment funds portfolios
Majewska, Agnieszka, (2006)
-
The trinomal tree and the PLC theory in footballers' valuation
Majewski, Sebastian, (2016)
-
Using Monte Carlo methods for the valuation of intangible assets in sports economics
Majewski, Sebastian, (2017)
- More ...