A hierarchical view of a national stock market as a complex network
dc.contributor.author | Baydilli, Y.Y. | |
dc.contributor.author | Bayir, S. | |
dc.contributor.author | Türker, I. | |
dc.date.accessioned | 2024-09-29T16:21:21Z | |
dc.date.available | 2024-09-29T16:21:21Z | |
dc.date.issued | 2017 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | 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. | en_US |
dc.identifier.endpage | 222 | en_US |
dc.identifier.issn | 0424-267X | |
dc.identifier.issue | 1 | en_US |
dc.identifier.scopus | 2-s2.0-85043482828 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 205 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/9700 | |
dc.identifier.volume | 51 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Bucharest University of Economic Studies | en_US |
dc.relation.ispartof | Economic Computation and Economic Cybernetics Studies and Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Correlation-based clustering | en_US |
dc.subject | Degree distribution | en_US |
dc.subject | Financial network | en_US |
dc.subject | Hierarchical tree | en_US |
dc.subject | Istanbul stock exchange | en_US |
dc.subject | Minimum spanning tree | en_US |
dc.subject | Stock correlation network | en_US |
dc.subject | Stock market | en_US |
dc.title | A hierarchical view of a national stock market as a complex network | en_US |
dc.type | Article | en_US |