Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
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Investigating the Global Financial Markets from a Social Network Analysis Perspective

소셜네트워크분석 접근법을 활용한 글로벌 금융시장 네트워크 분석

  • Kim, Dae-Sik (Graduate School of Business IT, Kookmin University.Korea Investment Management Co., Ltd.) ;
  • Kwahk, Kee-Young (College of Business Administration, School of Management Information Systems, Kookmin University)
  • 김대식 (국민대학교 비즈니스IT전문대학원.한국투자신탁운용) ;
  • 곽기영 (국민대학교 경영대학 경영정보학부)
  • Received : 2013.07.29
  • Accepted : 2013.12.09
  • Published : 2013.12.31
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Abstract

We analyzed the structures and properties of the global financial market networks using social network analysis approach. The Minimum Spanning Tree (MST) lengths and networks of the global financial markets based on the correlation coefficients have been analyzed. Firstly, similar to the previous studies on the global stock indices using MST length, the diversification effects in the global multi-asset portfolio can disappear during the crisis as the correlations among the asset class and within the asset class increase due to the system risks. Second, through the network visualization, we found the clustering of the asset class in the global financial markets network, which confirms the possible diversification effect in the global multi-asset portfolio. Meanwhile, we found the changes in the structure of the network during the crisis. For the last one, in terms of the degree centrality, the stock indices were the most influential to other assets in the global financial markets network, while in terms of the betweenness centrality, Gold, Silver and AUD. In the practical perspective, we propose the methods such as MST length and network visualization to monitor the change of the correlation risk for the risk management of the multi-asset portfolio.

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References

  1. 곽기영, 소셜네트워크분석, 서울, 도서출판 청람, 2014(Forthcoming).
  2. 조하현, 이승국, "MST 기법을 이용한 주식시장의 상관성 구조와 체계적 위험에 관한 연구", 한국금융학회 정기학술대회논문집, 2004.
  3. Boginski, V., S. Butenko, and P.M. Pardalos, "Mining Market Data : A Network Approach," Computers and Operations Research, Vol.33 (2006), pp.3171-3184. https://doi.org/10.1016/j.cor.2005.01.027
  4. Bonacich, P., "Power and Centrality : A Family of Measures," The American Journal of Sociology, Vol.92, No.5(1987), pp.1170-1182. https://doi.org/10.1086/228631
  5. Bonanno, G., G. Caldarelli, F. Lillo, and R.N. Mantegna, "Topology of Correlation-based Minimal Spanning Trees in Real and Model Markets," Physical Review E, Vol.68(2003), pp.46-130.
  6. Bonanno, G., G. Caldarelli, F. Lillo, S. Micciche, N. Vandewalle, and R.N. Mantegna, "Networks of Equities in Financial Markets," The European Physical Journal B, Vol.38 (2004), pp.363-371. https://doi.org/10.1140/epjb/e2004-00129-6
  7. Chen, D., L. Lu, M.S. Shang, Y.C. Zhang, and T. Zhou, "Identifying Influential Nodes in Complex Networks," Physica A : Statistical Mechanics and its Applications, Vol.391 (2012), pp.1777-1787. https://doi.org/10.1016/j.physa.2011.09.017
  8. Coehlo, R., C.G. Gilmore, B. Lucey, P. Richmond, and S. Hutzler, "The Evolution of Interdependence in World Equity Markets- Evidence from Minimum Spanning Trees," Physica A : Statistical Mechanics and its Applications, Vol.376(2007), pp.455-466. https://doi.org/10.1016/j.physa.2006.10.045
  9. Eryigit, M. and R. Eryigit, "Network Structure of Cross-correlations among the World Market Indices," Physica A : Statistical Mechanics and its Applications, Vol.388(2009), pp.3551-3562. https://doi.org/10.1016/j.physa.2009.04.028
  10. Freeman, L.C., "Centrality in Social Networks Conceptual Clarification," Social Networks, Vol.1, No.3(1978), pp.215-239. https://doi.org/10.1016/0378-8733(78)90021-7
  11. Garas, A. and P. Argyrakis, "Correlation Study of the Athens Stock Exchange," Physica A : Statistical Mechanics and its Applications, Vol.380(2007), pp.399-410. https://doi.org/10.1016/j.physa.2007.02.097
  12. Huang, W.Q., X.T. Zhuang, and S. Yao, "A Network Analysis of the Chinese Stock Market," Physica A : Statistical Mechanics and its Applications, Vol.388(2009), pp.2956-2964. https://doi.org/10.1016/j.physa.2009.03.028
  13. Jackson, M.O., "Research Opportunities in the Study of Social and Economic Networks," White paper prepared for the NSF/SBE, 2010.
  14. Jung, W.S., S.B. Chae, J.S. Yang, and H.T. Moon, "Characteristics of the Korean Stock MarketCcorrelations," Physica A : Statistical Mechanics and its Application, Vol.361(2006), pp.263-271. https://doi.org/10.1016/j.physa.2005.06.081
  15. Mantegna, R.N., "Hierarchical Structure in Financial Markets," European Physical Journal B, Vol.11(1999), pp.193-197.
  16. Nagurney, A., J.M. Cruz, and T. Wakolbinger, "The Co-Evolution and Emergence of Integrated International Financial Networks and Social Networks : Theory, Analysis, and Computations," Globalization and Regional Economic Modeling, Advances in Spatial Science, (2007), pp.183-226.
  17. Onnela, J.P., J. Saramaki, K. Kaski, and J. Kertesz, "Financial Market-A Network Perspective," Practical Fruits of Econophysics, Nikkei Econophysics III Proceedings, Springer, Tokyo, (2006), pp.302-306.
  18. Roy, R. B. and U.K. Sarkar, "A Social Network Approach to Change Detection in the Interdependence Structure of Global Stock Markets," Social Network Analysis and Mining, 2012.
  19. Tabak, B.M., T.R. Serra, and D.O. Cajueiro, "Topological Properties of Stock Market Networks : The Case of Brazil," Physica A : Statistical Mechanics and its Applications, Vol.389(2010), pp.3240-3249. https://doi.org/10.1016/j.physa.2010.04.002

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