A hierarchical view of a national stock market as a complex network
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Bucharest University of Economic Studies
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
We created a financial network for Borsa Istanbul 100 Index (BIST–100) which forms of N=100 stocks that bargained during T=2 years (2011– 2013). We analyzed the market via minimum spanning tree (MST) and hierarchical tree (HT) by using filtered correlation matrix. While using hierarchical methods in order to investigate factors that affecting grouping of stocks, we have taken account the other statistical and data mining methods to examine success of stock correlation network concept for portfolio optimization, risk management and crisis analysis. We observed that financial stocks, especially Banks, are central position of the network and control information flow. Besides the sectoral and sub-sectoral behavior, corporations play role at grouping of stocks. Finally, this technique provided important tips for determining risky stocks in market. © 2017, Bucharest University of Economic Studies. All rights reserved.
Açıklama
Anahtar Kelimeler
Correlation-based clustering, Degree distribution, Financial network, Hierarchical tree, Istanbul stock exchange, Minimum spanning tree, Stock correlation network, Stock market
Kaynak
Economic Computation and Economic Cybernetics Studies and Research
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
51
Sayı
1
