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Complexity
Volume 2018, Article ID 1843792, 16 pages
https://doi.org/10.1155/2018/1843792
Research Article

Credit Risk Contagion in an Evolving Network Model Integrating Spillover Effects and Behavioral Interventions

1School of Economics and Management, Nanjing Tech University, Nanjing 211816, China
2School of Management and Engineering, Nanjing University, Nanjing 210093, China

Correspondence should be addressed to Binqing Xiao; nc.ude.ujn@gnikgneb and Haifei Liu; nc.ude.ujn@uilfh

Received 25 October 2017; Accepted 8 January 2018; Published 6 March 2018

Academic Editor: Thiago C. Silva

Copyright © 2018 Tingqiang Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Davis and V. Lo, “Infectious defaults,” Quantitative Finance, vol. 1, pp. 382–387, 2001. View at Publisher · View at Google Scholar
  2. K. Giesecke and S. Weber, “Cyclical correlations, credit contagion, and portfolio losses,” Journal of Banking & Finance, vol. 28, no. 12, pp. 3009–3036, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. K. Giesecke and S. Weber, “Credit contagion and aggregate losses,” Journal of Economic Dynamics & Control, vol. 30, no. 5, pp. 741–767, 2006. View at Publisher · View at Google Scholar · View at MathSciNet
  4. F. Allen and E. Carletti, “Credit risk transfer and contagion,” Journal of Monetary Economics, vol. 53, no. 1, pp. 89–111, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. D. Egloff, M. Leippold, and P. Vanini, “A simple model of credit contagion,” Journal of Banking & Finance, vol. 31, no. 8, pp. 2475–2492, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. J. P. Hatchett and R. Kuehn, “Credit contagion and credit risk,” Quantitative Finance, vol. 9, no. 4, pp. 373–382, 2009. View at Publisher · View at Google Scholar · View at MathSciNet
  7. Y. Dong and G. Wang, “Bilateral counterparty risk valuation for credit default swap in a contagion model using Markov chain,” Economic Modelling, vol. 40, pp. 91–100, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. T. Chen, X. Li, and J. He, “Complex dynamics of credit risk contagion with time-delay and correlated noises,” Abstract and Applied Analysis, vol. 2014, Article ID 456764, 10 pages, 2014. View at Publisher · View at Google Scholar · View at MathSciNet
  9. T. Chen, X. Li, and J. Wang, “Spatial interaction model of credit risk contagion in the CRT market,” Computational Economics, vol. 46, no. 4, pp. 519–537, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. D. Barro and A. Basso, “Credit contagion in a network of firms with spatial interaction,” European Journal of Operational Research, vol. 205, no. 2, pp. 459–468, 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Zouaoui, G. Nouyrigat, and F. Beer, “How does investor sentiment affect stock market crises? Evidence from panel data,” Financial Review, vol. 46, no. 4, pp. 723–747, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. J. B. De Long, A. Shleifer, L. H. Summers, and R. J. Waldmann, “Noise trader risk in financial markets,” Journal of Political Economy, vol. 98, no. 4, pp. 703–738, 1990. View at Publisher · View at Google Scholar
  13. N. Barberis, A. Shleifer, and R. Vishny, “A model of investor sentiment,” Journal of Financial Economics, vol. 49, no. 3, pp. 307–343, 1998. View at Publisher · View at Google Scholar · View at Scopus
  14. K. D. Daniel, D. Hirshleifer, and A. Subrahmanyam, “Overconfidence, arbitrage, and equilibrium asset pricing,” Journal of Finance, vol. 56, no. 3, pp. 921–965, 2001. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Baker and J. Wurgler, “Investor sentiment in the stock market,” Journal of Economic Perspectives (JEP), vol. 21, no. 2, pp. 129–151, 2007. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Baker and J. C. Stein, “Market liquidity as a sentiment indicator,” Journal of Financial Markets, vol. 7, no. 3, pp. 271–299, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Baker and J. Wurgler, “Investor sentiment and the cross-section of stock returns,” Journal of Finance, vol. 61, no. 4, pp. 1645–1680, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Glushkov, Sentiment betas. Unpublished working paper, University of Texas, Austin, TX, USA, 2005.
  19. C.-H. Lin, W.-H. Huang, and M. Zeelenberg, “Multiple reference points in investor regret,” Journal of Economic Psychology, vol. 27, no. 6, pp. 781–792, 2006. View at Publisher · View at Google Scholar · View at Scopus
  20. G. Hertel, J. Neuhof, T. Theuer, and N. L. Kerr, “Mood effects on cooperation in small groups: Does positive mood simply lead to more cooperation?” Cognition & Emotion, vol. 14, no. 4, pp. 441–472, 2000. View at Publisher · View at Google Scholar · View at Scopus
  21. G. F. Loewenstein, C. K. Hsee, E. U. Weber, and N. Welch, “Risk as Feelings,” Psychological Bulletin, vol. 127, no. 2, pp. 267–286, 2001. View at Publisher · View at Google Scholar · View at Scopus
  22. K. S. L. Yuen and T. M. C. Lee, “Could mood state affect risk-taking decisions?” Journal of Affective Disorders, vol. 75, no. 1, pp. 11–18, 2003. View at Publisher · View at Google Scholar · View at Scopus
  23. R. Raghunathan and K. P. Corfman, “Sadness as pleasure-seeking prime and anxiety as attentiveness prime: The "Different Affect-Different Effect" (DADE) model,” Motivation and Emotion, vol. 28, no. 1, pp. 23–41, 2004. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Baker, J. Wurgler, and Y. Yuan, “Global, local, and contagious investor sentiment,” Journal of Financial Economics, vol. 104, no. 2, pp. 272–287, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. T. Santos, “Comment on: credit risk transfer and contagion,” Journal of Monetary Economics, vol. 53, no. 1, pp. 113–121, 2006. View at Publisher · View at Google Scholar · View at Scopus
  26. U. Neyer and F. Heyde, “Credit Default Swaps and the Stability of the Banking Sector,” International Review of Finance, vol. 10, no. 1, pp. 27–61, 2010. View at Publisher · View at Google Scholar
  27. T. Q. Chen and J. M. He, “A network model of credit risk contagion,” Discrete Dynamics in Nature and Society, vol. 2012, Article ID 513982, 13 pages, 2012. View at Publisher · View at Google Scholar
  28. T. Q. Chen, J. M. He, and J. N. Wang, “Bifurcation and chaotic behavior of credit risk contagion based on Fitzhugh-Nagumo system,” International Journal of Bifurcation and Chaos, vol. 23, no. 7, article 1350117, 2013. View at Publisher · View at Google Scholar
  29. F. Allen and D. Gale, “Financial contagion,” Journal of Political Economy, vol. 108, no. 1, pp. 1–33, 2000. View at Publisher · View at Google Scholar · View at Scopus
  30. S. Li, “Contagion risk in an evolving network model of banking systems,” Advances in Complex Systems. A Multidisciplinary Journal, vol. 14, no. 5, pp. 673–690, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  31. G. Iori, S. Jafarey, and F. G. Padilla, “Systemic risk on the interbank market,” Journal of Economic Behavior & Organization, vol. 61, no. 4, pp. 525–542, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. E. Nier, J. Yang, T. Yorulmazer, and A. Alentorn, “Network models and financial stability,” Journal of Economic Dynamics and Control (JEDC), vol. 31, no. 6, pp. 2033–2060, 2007. View at Publisher · View at Google Scholar · View at Scopus
  33. M. Teteryatnikova, “Resilience of the interbank network to shocks and optimal bailout strategy: advantages of "tiered" banking systems,” Working Paper, European University Institute, 2009. View at Google Scholar
  34. J. M. Canedo and S. M. Jaramillo, “A network model of systemic risk: stress testing the banking system,” Intelligent Systems in Accounting, Finance & Management, vol. 16, no. 1-2, pp. 87–110, 2009. View at Publisher · View at Google Scholar
  35. C. P. Georg and J. Poschmann, “Systemic risk in a network model of interbank markets with central bank activity,” Jena Economic Research Papers, No. 2010-033, 2010. View at Google Scholar
  36. P. Gai and S. Kapadia, “Contagion in financial networks,” Proceedings of the Royal Society A Mathematical, Physical and Engineering Sciences, vol. 466, no. 2120, pp. 2401–2423, 2010. View at Publisher · View at Google Scholar · View at Scopus
  37. A. Dasgupta, “Financial contagion through capital connections: A model of the origin and spread of bank panics,” Journal of the European Economic Association, vol. 2, no. 6, pp. 1049–1084, 2004. View at Publisher · View at Google Scholar · View at Scopus
  38. C. G. De Vries, “The simple economics of bank fragility,” Journal of Banking & Finance, vol. 29, no. 4, pp. 803–825, 2005. View at Publisher · View at Google Scholar · View at Scopus
  39. A. Babus, “The Formation of Financial Networks,” No. 2006-093/2, Tinbergen Institute Discussion Paper, 2006. View at Google Scholar
  40. S. Vivier-Lirimont, “Interbanking networks: towards a small financial world?” in Cahiers de la Maison des Sciences Economiques, Universit Panthon-Sorbonne, 2009. View at Google Scholar
  41. L. Bo and A. Capponi, “Counterparty risk for CDS: Default clustering effects,” Journal of Banking & Finance, vol. 52, pp. 29–42, 2015. View at Publisher · View at Google Scholar · View at Scopus
  42. J. R. Nofsinger, Psychology of Investing, Prentice Hall, 5th edition, 2013.
  43. R. Y.-C. Lu, H.-C. Lee, and P. Chiu, “Institutional investor sentiment and market returns: Evidence from the taiwan futures market,” Romanian Journal of Economic Forecasting, vol. 17, no. 4, pp. 140–167, 2014. View at Google Scholar · View at Scopus
  44. D. Berger and H. J. Turtle, “Sentiment bubbles,” Journal of Financial Markets, vol. 23, pp. 59–74, 2015. View at Publisher · View at Google Scholar · View at Scopus
  45. D. C. Langevoort, “Taming the animal spirits of the stock markets: a behavioral approach to securities regulation,” Northwestern University Law Review, vol. 97, article 135, 2002. View at Publisher · View at Google Scholar
  46. A. J. Schwartz, “Asset price inflation and monetary policy,” Atlantic Economic Journal, vol. 31, no. 1, pp. 1–14, 2003. View at Publisher · View at Google Scholar
  47. M. Jia and Z. Zhang, “How Does the Stock Market Value Corporate Social Performance? When Behavioral Theories Interact with Stakeholder Theory,” Journal of Business Ethics, vol. 125, no. 3, pp. 433–465, 2013. View at Publisher · View at Google Scholar · View at Scopus
  48. P. Zweifel, D. Pfaff, and J. Kühn, “A Simple Model of Bank Behaviour—With Implications for Solvency Regulation,” Studies in Microeconomics, vol. 3, no. 1, pp. 49–68, 2015. View at Publisher · View at Google Scholar
  49. F. Slanina, “Mean-field approximation for a limit order driven market model,” Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, vol. 64, no. 5, article 056136, 2001. View at Google Scholar · View at Scopus
  50. J.-M. Lasry and P.-L. Lions, “Mean field games,” Japanese Journal of Mathematics, vol. 2, no. 1, pp. 229–260, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  51. S. V. Vikram and S. Sinha, “Emergence of universal scaling in financial markets from mean-field dynamics,” Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, vol. 83, no. 1, article 016101, 2011. View at Publisher · View at Google Scholar · View at Scopus
  52. S. Ankirchner and A. Dermoune, “Multiperiod mean-variance portfolio optimization via market cloning,” Applied Mathematics & Optimization, vol. 64, no. 1, pp. 135–154, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  53. M. Eboli, Systemic Risk in Financial Networks: A Graph Theoretic Approach, Mimeo, Universita di Chieti Pescara, 2004.
  54. P. D. Lopez, “Diffusion in complex social networks,” Games and Economic Behavior, vol. 62, no. 2, pp. 573–590, 2008. View at Publisher · View at Google Scholar · View at MathSciNet
  55. M. O. Jackson and L. Yariv, “Diffusion of behavior and equilibrium properties in network games,” American Economic Review, vol. 97, no. 2, pp. 92–98, 2007. View at Publisher · View at Google Scholar · View at Scopus
  56. M. O. Jackson and B. W. Rogers, “Relating network structure to diffusion properties through stochastic dominance,” B. E. Journal of Theoretical Economics, vol. 7, no. 1, pp. 1–13, 2007. View at Google Scholar · View at MathSciNet
  57. M. O. Jackson, Social and Economic Networks, Princeton University Press, Princeton, NJ, USA, 2008. View at MathSciNet
  58. D. López-Pintado, “Diffusion in complex social networks,” Games and Economic Behavior, vol. 62, no. 2, pp. 573–590, 2008. View at Publisher · View at Google Scholar · View at MathSciNet