The Effect of JCPOA on the Network Behavior Analysis of Tehran Stock Exchange Indexes
Subject Areas : Statistical Methods in Financial ManagementSalman Abbasian-Naghneh 1 , Reza Tehrani 2 , Mohammad Tamimi 3
1 - Department of Financial Management, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran
2 - Faculty of Management, University of Tehran, Tehran, Iran|Department of Financial Management, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran
3 - Department of Accounting, Dezful Branch, Islamic Azad University, Dezful, Iran
Keywords:
Abstract :
[1]Bonanno G., Caldarelli G., Lillo F., Mantegna R. N., Topology of correlation-based minimal spanning trees in real and model markets, Physical Review E, 2003, 68(4), P. 046130, Doi: 10.1103/PhysRevE.68.046130.
[2]Coletti P., Comparing minimum spanning trees of the Italian stock market using returns and volumes, Physica a: Statistical Mechanics and its Applications, 2016, 463, P. 246-61, Doi: 10.1016/j.physa.2016.07.029.
[3]Yang C., Zhu X., Li Q., Chen Y., Deng Q., Research on the evolution of stock correlation based on maximal spanning trees, Physica A: Statistical Mechanics and its Applications, 2014, 415, P. 1-18, Doi: 10.1016/j.physa.2014.07.069.
[4]Ji Q., Fan Y., Evolution of the world crude oil market integration: A graph theory analysis, Energy Economics, 2016, 53, P. 90-100, Doi: 10.1016/j.eneco.2014.12.003.
[5]Heimo T., Saramäki J., Onnela J.-P., Kaski K., Spectral and network methods in the analysis of correlation matrices of stock returns, Physica A: Statistical Mechanics and its Applications, 2007, 383(1), P. 147-51, Doi: 10.1016/j.physa.2007.04.124.
[6]Onnela J.-P., Chakraborti A., Kaski K., Kertesz J., Kanto A., Dynamics of market correlations: Taxonomy and portfolio analysis, Physical Review E, 2003, 68(5), P. 056110, Doi: 10.1103/PhysRevE.68.056110.
[7]Gan S. L., Djauhari M. A., New York Stock Exchange performance: evidence from the forest of multidimensional minimum spanning trees, Journal of Statistical Mechanics: Theory and Experiment, 2015, 2015(12), P. P12005, Doi: 10.1088/1742-5468/2015/12/P12005.
[8]Tumminello M., Aste T., Di Matteo T., Mantegna R. N., A tool for filtering information in complex systems, Proceedings of the National Academy of Sciences, 2005, 102(30), P. 10421-6, Doi: 10.1073/pnas.0500298102.
[9]Huang W.-Q., Zhuang X.-T., Yao S., A network analysis of the Chinese stock market, Physica A: Statistical Mechanics and its Applications, 2009, 388(14), P. 2956-64, Doi: 10.1016/j.physa.2009.03.028.
[10]Tabak B. M., Serra T. R., Cajueiro D. O., Topological properties of stock market networks: The case of Brazil, Physica A: Statistical Mechanics and its Applications, 2010, 389(16), P. 3240-9, Doi: 10.1016/j.physa.2010.04.002.
[11]Wiliński M., Sienkiewicz A., Gubiec T., Kutner R., Struzik Z., Structural and topological phase transitions on the German Stock Exchange, Physica A: Statistical Mechanics and its Applications, 2013, 392(23), P. 5963-73, Doi: 10.1016/j.physa.2013.07.064.
[12]Nobi A., Maeng S. E., Ha G. G., Lee J. W., Effects of global financial crisis on network structure in a local stock market, Physica A: Statistical Mechanics and its Applications, 2014, 407, P. 135-43, Doi: 10.1016/j.physa.2014.03.083.
[13]Coronnello C., Tumminello M., Lillo F., Micciche S., Mantegna R. N., Sector identification in a set of stock return time series traded at the London Stock Exchange, Acta Phys Polon B 2005, P. 2653–79, Doi: 10.1117/12.729619.
[14]Majapa M., Gossel S. J., Topology of the South African stock market network across the 2008 financial crisis, Physica A: Statistical Mechanics and its Applications, 2016, 445, P. 35-47, Doi: 10.1016/j.physa.2015.10.108.
[15]Gałązka M., Characteristics of the polish stock market correlations, International review of financial analysis, 2011, 20(1), P. 1-5, Doi: 10.1016/j.irfa.2010.11.002.
[16]Kantar E., Deviren B., Keskin M., Hierarchical structure of Turkey’s foreign trade, Physica A: Statistical Mechanics and its Applications, 2011, 390(20), P. 3454-76, Doi: 10.1016/j.physa.2011.05.004.
[17]You T., Fiedor P., Hołda A., Network analysis of the Shanghai stock exchange based on partial mutual information, Journal of Risk and Financial Management, 2015, 8(2), P. 266-84, Doi: 10.3390/jrfm8020266.
[18]Eom C., Oh G., Jung W.-S., Jeong H., Kim S., Topological properties of stock networks based on minimal spanning tree and random matrix theory in financial time series, Physica A: Statistical Mechanics and its Applications, 2009, 388(6), P. 900-6, Doi: 10.1016/j.physa.2008.12.006.
[19]Rocach L., Maimon O. Data mining and knowledge discovery handbook, Springer, Boston, MA, 2005.
[20]Mantegna R. N., Hierarchical structure in financial markets, The European Physical Journal B-Condensed Matter and Complex Systems, 1999, 11(1), P. 193-7, Doi: 10.1007/s100510050929.
[21]Tumminello M., Lillo F., Mantegna R. N., Correlation, hierarchies, and networks in financial markets, Journal of Economic Behavior & Organization, 2010, 75(1), P. 40-58, Doi: 10.1016/j.jebo.2010.01.004.
[22]Bhattacharjee B., Shafi M., Acharjee A., Network mining based elucidation of the dynamics of cross-market clustering and connectedness in Asian region: An MST and hierarchical clustering approach, Journal of King Saud University-Computer and Information Sciences, 2017, 31(2), P. 218-28, Doi: 10.1016/j.jksuci.2017.11.002.
[23]Bollobas B. Graph Theory: An Introductory Course New York, Springer-Verlag, 1979.
[24]Dorogovtsev S. N., Mendes J. F. Evolution of networks: From biological nets to the Internet and WWW, Oxford, Oxford University Press, 2013.
[25]Dabrowski J., Pułka A., TH Cormen, CE Leiserson, and RL Rivest introduction to Algorithms. Mcgraw-hill, Mit Press, 1990. t. H. Cormen, CE Leiserson, and RL Rivest introduction to Algorithms. Mcgraw-hill, Mit Press, 1990. Discrete Approach to Pwl Analog Modeling in Vhdl Environment, Analog Integrated Circuits & Signal Processing, 1998, 16(2), P. 91-9.
[26] Dibachi, H., Behzadi, M.H., Izadikhah, M., Stochastic Modified MAJ Model for Measuring the Efficiency and Ranking of DMUs, Indian Journal of Science and Technology, 2015, 8(8), P. 1-7, Doi: 10.17485/ijst/2015/v8iS8/71505
[27]Hughes B., Trees and ultrametric spaces: a categorical equivalence, Advances in Mathematics, 2004, 189(1), P. 148-91, Doi: 10.1016/j.aim.2003.11.008.
[28] Parsa, B., Sarraf, F. Financial Statement Comparability and the Expected Crash Risk of Stock Prices. Advances in Mathematical Finance and Applications, 2018, 3(3), P. 77-93. Doi: 10.22034/amfa.2018.544951
[29] Salehi, A., Baharipour, A., Mohammadi, S. The Impact of Institutional Ownership on the Relationship between Tax and Capital Structure. Advances in Mathematical Finance and Applications, 2016, 1(2), P. 57-67. Doi: 10.22034/amfa.2016.527820
[30]Sieczka P., Hołyst J. A., Correlations in commodity markets, Physica A: Statistical Mechanics and its Applications, 2009, 388(8), P. 1621-30, Doi: 10.1016/j.physa.2009.01.004.
[31]Sabidussi G., The centrality index of a graph, Psychometrika, 1966, 31(4), P. 581-603, Doi: 10.1007/BF02289527.
[32] Zalaghi, H., Godini, M., mansouri, K. The Moderating Role of Firms characteristics on the Relationship between Working Capital Management and Financial Performance. Advances in Mathematical Finance and Applications, 2019, 4(1), P. 71-88. Doi: 10.22034/amfa.2019.581878.1158