A HIERARCHICAL VIEW OF A NATIONAL STOCK MARKET AS A COMPLEX NETWORK
Küçük Resim Yok
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Acad 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.
Açıklama
Anahtar Kelimeler
Stock correlation network, stock market, financial network, correlation-based clustering, degree distribution, Istanbul Stock Exchange, minimum spanning tree, hierarchical tree
Kaynak
Economic Computation and Economic Cybernetics Studies and Research
WoS Q Değeri
Q3
Scopus Q Değeri
Cilt
51
Sayı
1
