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Simulation of Contagion in the Stock Markets Using Cross-Shareholding Networks: A Case from an Emerging Market

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  • Hossein Dastkhan

    (AmirKabir University of Technology (Tehran Polytechnique))

  • Naser Shams Gharneh

    (AmirKabir University of Technology (Tehran Polytechnique))

Abstract

In recent years, simulation of contagion in financial markets is one of the main concerns of the economic and finance researchers and policy makers in order to analyze the effects of different shocks on the contagion. In this paper, we introduce a simulation model to analyze the contagion in financial markets based on the cross-shareholding network of firms. In order to validate the proposed model, we investigate the results of a real dataset from an emerging market. According to different kinds of idiosyncratic and aggregate shocks to the system, we analyze the probability and the extent of contagion. Moreover, to study the effect of market structure, the results of different null models are compared with the real network. The results show that the proposed simulation model and the cross-shareholding network are effectively appropriate in the analysis of contagion and systemic risk in the financial systems. The results of null models indicate that the structural characteristics of the financial networks have significant role in the spread of shocks and financial crisis. The results also reveal that for the networks with homogeneity for degree and weights underestimates the number of infected firms and overestimates the loss percents.

Suggested Citation

  • Hossein Dastkhan & Naser Shams Gharneh, 2019. "Simulation of Contagion in the Stock Markets Using Cross-Shareholding Networks: A Case from an Emerging Market," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1071-1101, March.
    • Handle: RePEc:kap:compec:v:53:y:2019:i:3:d:10.1007_s10614-017-9781-6
    DOI: 10.1007/s10614-017-9781-6
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    1. Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
    2. Paltalidis, Nikos & Gounopoulos, Dimitrios & Kizys, Renatas & Koutelidakis, Yiannis, 2015. "Transmission channels of systemic risk and contagion in the European financial network," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 36-52.
    3. Tingqiang Chen & Xindan Li & Jining Wang, 2015. "Spatial Interaction Model of Credit Risk Contagion in the CRT Market," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 519-537, December.
    4. J. Lorenz & S. Battiston & F. Schweitzer, 2009. "Systemic risk in a unifying framework for cascading processes on networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 441-460, October.
    5. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    6. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    7. Smaga, Pawel, 2014. "The concept of systemic risk," LSE Research Online Documents on Economics 61214, London School of Economics and Political Science, LSE Library.
    8. Caggiano, Giovanni & Calice, Pietro & Leonida, Leone, 2014. "Early warning systems and systemic banking crises in low income countries: A multinomial logit approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 258-269.
    9. Park, Young S. & Lee, Jung-Jin, 2003. "An empirical study on the relevance of applying relative valuation models to investment strategies in the Japanese stock market," Japan and the World Economy, Elsevier, vol. 15(3), pages 331-339, August.
    10. Hossein Dastkhan & Naser Shams Gharneh, 2016. "Determination of Systemically Important Companies with Cross-Shareholding Network Analysis: A Case Study from an Emerging Market," IJFS, MDPI, vol. 4(3), pages 1-17, June.
    11. Onnela, J.-P. & Chakraborti, A. & Kaski, K. & Kertész, J., 2003. "Dynamic asset trees and Black Monday," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 247-252.
    12. Pecora, Nicolò & Spelta, Alessandro, 2015. "Shareholding relationships in the Euro Area banking market: A network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 1-12.
    13. Li, Huajiao & Fang, Wei & An, Haizhong & Yan, LiLi, 2014. "The shareholding similarity of the shareholders of the worldwide listed energy companies based on a two-mode primitive network and a one-mode derivative holding-based network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 525-532.
    14. Battiston, Stefano, 2004. "Inner structure of capital control networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 107-112.
    15. Ma, Yuan-yuan & Zhuang, Xin-tian & Li, Ling-xuan, 2011. "Research on the relationships of the domestic mutual investment of China based on the cross-shareholding networks of the listed companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 749-759.
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    3. Yun Feng & Xin Li, 2021. "Does cross-shareholding lead to China's stock returns comovement? Evidence from a GMM-based spatial AR model," Empirical Economics, Springer, vol. 61(6), pages 3213-3237, December.

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