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Credit risk contagion coupling with sentiment contagion

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  • Jiang, Shanshan
  • Fan, Hong

Abstract

The contagion law of credit risk is very important for financial market supervision. In the financial market, the interaction between credit risk holders’ sentiment and credit risk is the important factor of credit risk contagion. The existing credit risk contagion models based on complex network theory assume that the credit risk contagion is exogenous, and only analyze the proportion of the individuals infected by the credit risk from a macro perspective. However, existing models cannot explain the coupling relationship between credit risk contagion and emotional contagion, and how individuals are infected from a microscopic perspective is not clear. In this work, the theory of propagation dynamics in complex networks is introduced into the study of coupling relationship between credit risk contagion and sentiment contagion, which can reflect the endogenous problem of credit default in the process of credit risk contagion. The model can analyze the evolution process of individual risk contagion and sentiment contagion in the network, and can effectively reflect the risk contagion degree of individual. The proposed model further analyzes the influence of network structure, individual risk attitude, individual risk resisting ability, and financial market supervision on credit risk contagion and sentiment contagion. The correctness of the model is verified by theoretical deduction and numerical simulation.

Suggested Citation

  • Jiang, Shanshan & Fan, Hong, 2018. "Credit risk contagion coupling with sentiment contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 186-202.
  • Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:186-202
    DOI: 10.1016/j.physa.2018.08.116
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    as
    1. Gai, Prasanna & Kapadia, Sujit, 2010. "Contagion in financial networks," Bank of England working papers 383, Bank of England.
    2. 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.
    3. Robert Elliott & Jia Shen, 2015. "Credit risk and contagion via self-exciting default intensity," Annals of Finance, Springer, vol. 11(3), pages 319-344, November.
    4. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    5. Bedendo, Mascia & Bruno, Brunella, 2012. "Credit risk transfer in U.S. commercial banks: What changed during the 2007–2009 crisis?," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3260-3273.
    6. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    7. Ma, Qianting & He, Jianmin & Li, Shouwei, 2018. "Endogenous network of firms and systemic risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2273-2280.
    8. Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
    9. Hüser, Anne-Caroline, 2016. "Too interconnected to fail: A survey of the Interbank Networks literature," SAFE Working Paper Series 91, Leibniz Institute for Financial Research SAFE, revised 2016.
    10. Robert M. May & Simon A. Levin & George Sugihara, 2008. "Ecology for bankers," Nature, Nature, vol. 451(7181), pages 893-894, February.
    11. Seo, Sung Won & Kim, Jun Sik, 2015. "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 106-120.
    12. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.
    13. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    14. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    15. Chau, Frankie & Deesomsak, Rataporn & Koutmos, Dimitrios, 2016. "Does investor sentiment really matter?," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 221-232.
    16. J. P. L. Hatchett & R. Kuhn, 2009. "Credit contagion and credit risk," Quantitative Finance, Taylor & Francis Journals, vol. 9(4), pages 373-382.
    17. Lee, Yen-Hsien & Tucker, Alan L. & Wang, David K. & Pao, Hsin-Ting, 2014. "Global contagion of market sentiment during the US subprime crisis," Global Finance Journal, Elsevier, vol. 25(1), pages 17-26.
    18. Wosnitza, Jan Henrik & Leker, Jens, 2014. "Why credit risk markets are predestined for exhibiting log-periodic power law structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 427-449.
    19. Silvia Gabrieli, 2011. "The microstructure of the money market before and after the financial crisis: a network perspective," CEIS Research Paper 181, Tor Vergata University, CEIS, revised 19 Jan 2011.
    20. Xu, Tao & He, Jianmin & Li, Shouwei, 2016. "A dynamic network model for interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 131-138.
    21. Li, Jinfang, 2017. "Investor sentiment, heterogeneous agents and asset pricing model," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 504-512.
    22. Xue-Zhong He & Eva Lütkebohmert & Yajun Xiao, 2017. "Rollover risk and credit risk under time-varying margin," Quantitative Finance, Taylor & Francis Journals, vol. 17(3), pages 455-469, March.
    23. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    24. Aristei, David & Martelli, Duccio, 2014. "Sovereign bond yield spreads and market sentiment and expectations: Empirical evidence from Euro area countries," Journal of Economics and Business, Elsevier, vol. 76(C), pages 55-84.
    25. Jeremy Staum & Mingbin Feng & Ming Liu, 2016. "Systemic risk components in a network model of contagion," IISE Transactions, Taylor & Francis Journals, vol. 48(6), pages 501-510, June.
    26. Shuming Liu, 2015. "Investor Sentiment and Stock Market Liquidity," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 51-67, January.
    27. Benjamin M. Blau, 2017. "Skewness preferences, asset prices and investor sentiment," Applied Economics, Taylor & Francis Journals, vol. 49(8), pages 812-822, February.
    28. Zhang, Minghui & He, Jianmin & Li, Shouwei, 2018. "Interbank lending, network structure and default risk contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 203-209.
    29. Edirisinghe, Chanaka & Gupta, Aparna & Roth, Wendy, 2015. "Risk assessment based on the analysis of the impact of contagion flow," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 209-223.
    30. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
    31. Bao, Qunfang & Chen, Si & Li, Shenghong, 2012. "Unilateral CVA for CDS in a contagion model with stochastic pre-intensity and interest," Economic Modelling, Elsevier, vol. 29(2), pages 471-477.
    32. Ebenezer Asem & Jessica Chung & Xin Cui & Gloria Y Tian, 2016. "Liquidity, investor sentiment and price discount of SEOs in Australia," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 12(1), pages 25-51, February.
    33. Kuzubaş, Tolga Umut & Saltoğlu, Burak & Sever, Can, 2016. "Systemic risk and heterogeneous leverage in banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 358-375.
    34. Shouwei Li, 2011. "Contagion Risk In An Evolving Network Model Of Banking Systems," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 673-690.
    35. Lee, Sangwook & Kim, Min Jae & Lee, Sun Young & Kim, Soo Yong & Ban, Joon Hwa, 2013. "The effect of the subprime crisis on the credit risk in global scale," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2060-2071.
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