A Typology of Financial Networks According to Their Typological Characteristics (A Study of Tehran Stock Exchange)
Subject Areas : Financial engineering
Majid
Montasheri
1
(Department of Accounting and Finance, Faculty of Management . Yazd University, yazd, iran)
Hojjatollah
Sadeqi
2
(Department of Finance and Accounting, Faculty of Management , Yazd University, yazd, iran.)
Keywords: Minimum Spanning Tree, Financial network, Centrality measures,
Abstract :
The purpose of this study is ‎to establish and introduce a new financial network and to examine centrality ‎measures for optimizing the portfolio of investors as well as identifying ‎stock market leaders. In this study, 100 top stock companies with largest ‎average market capitalization were selected from January 2009 to January ‎‎2020. The financial network was converted to logarithmic returns using ‎adjusted closing price. The concepts of graph theory and prim algorithm ‎were used to explore the relationships and distances between stocks to ‎construct a minimum spanning tree. The results showed that based on the ‎degree centrality measure, Iranian telecommunication stocks and Ayandeh ‎Bank, based on closeness centrality measure, Bahman investment stocks, ‎Omid capital financing and tourism bank, based on Betweenness centrality ‎measure, Omid capital financing stocks, Bahman investment and Asia ‎insurance, based on the bottleneck centrality measure, Asian Insurance ‎stocks, Tourism Bank and Omid Capital has the most impact on the financial ‎network and stock market. Finally, the financial network was divided into 9 ‎clusters, each cluster showing the stronger relationship of its components ‎with each other. ‎
منابع
1, Gan, S. L., & Djauhari, M. A. (2015). New York Stock Exchange performance: evidence from the forest of multidimensional minimum spanning trees. Journal of Statistical Mechanics: Theory and Experiment, 2015(12), P12005.
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6, Bonanno, G., Caldarelli, G., Lillo, F., Micciche, S., Vandewalle, N., & Mantegna, R. N. (2004). Networks of equities in financial markets. The European Physical Journal B, 38(2), 363-371.
7, Tumminello, M., Lillo, F., & Mantegna, R. N. (2010). Correlation, hierarchies, and networks in financial markets. Journal of Economic Behavior & Organization, 75(1), 40-58.
8, Graham, R. L., & Hell, P. (1985). On the history of the minimum spanning tree problem. Annals of the History of Computing, 7(1), 43-57.
9, Al-Taie, M. Z., & Kadry, S. (2017). Python for graph and network analysis (pp. 1-184). Cham: Springer International Publishing.
10, Gower, J. C., & Ross, G. J. (1969). Minimum spanning trees and single linkage cluster analysis. Journal of the Royal Statistical Society: Series C (Applied Statistics), 18(1), 54-64.
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منابع
1, Gan, S. L., & Djauhari, M. A. (2015). New York Stock Exchange performance: evidence from the forest of multidimensional minimum spanning trees. Journal of Statistical Mechanics: Theory and Experiment, 2015(12), P12005.
2, Coletti, P. (2016). Comparing minimum spanning trees of the Italian stock market using returns and volumes. Physica A: Statistical Mechanics and its Applications, 463, 246-261.
3, Markowitz, H. (1952). Portfolio selection. The journal of finance, 7(1), 77-91.
4, Fama,E. F., & French, K. R.(1997). Industry costs of equity.Journal of financial economics, 43(2), 153-193.
5, Mantegna, R. N. (1999). Hierarchical structure in financial markets. The European Physical Journal B-Condensed Matter and Complex Systems, 11(1), 193-197.
6, Bonanno, G., Caldarelli, G., Lillo, F., Micciche, S., Vandewalle, N., & Mantegna, R. N. (2004). Networks of equities in financial markets. The European Physical Journal B, 38(2), 363-371.
7, Tumminello, M., Lillo, F., & Mantegna, R. N. (2010). Correlation, hierarchies, and networks in financial markets. Journal of Economic Behavior & Organization, 75(1), 40-58.
8, Graham, R. L., & Hell, P. (1985). On the history of the minimum spanning tree problem. Annals of the History of Computing, 7(1), 43-57.
9, Al-Taie, M. Z., & Kadry, S. (2017). Python for graph and network analysis (pp. 1-184). Cham: Springer International Publishing.
10, Gower, J. C., & Ross, G. J. (1969). Minimum spanning trees and single linkage cluster analysis. Journal of the Royal Statistical Society: Series C (Applied Statistics), 18(1), 54-64.