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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 11 | Page No.: 1934-1940
DOI: 10.3923/jas.2013.1934.1940
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Research Article

Nonlinear Similarity Model of Financial Contagion: The Difference of the Subprime Crisis and the European Debt Crisis

L. Liu, X.F. Hui and Y.F. Shao

ABSTRACT


This study develops a sign-modified nonlinear similarity model to study the contagion in financial crisis. We use the similarity index as an indicator to analyze the contagion of the United States and Greece to other six countries during the subprime crisis and the European debt crisis. Our results show that in the 2007-2009 subprime crisis the United States is the contagion source; and that in the 2010-2012 European debt crisis, the impacts of Greece to other countries are smaller than those of the United States except for Italy and Spain. We conclude that the harm of the financial crisis from a large economy is more severe than that from a small economy and the small economy’s crisis mainly shocks the neighboring countries with similar economy.
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How to cite this article

L. Liu, X.F. Hui and Y.F. Shao, 2013. Nonlinear Similarity Model of Financial Contagion: The Difference of the Subprime Crisis and the European Debt Crisis. Journal of Applied Sciences, 13: 1934-1940.

DOI: 10.3923/jas.2013.1934.1940

URL: https://scialert.net/abstract/?doi=jas.2013.1934.1940

REFERENCES


  1. Blancheton, B., C. Bordes, S. Maveyraud and P. Rous, 2012. Risk of liquidity and contagion of the crisis on the United States, United Kingdom and euro zone money markets. Int. J. Finan. Econ., 17: 124-146.
    Direct Link

  2. Chiang, M.H. and L.M. Wang, 2011. Volatility contagion: A range-based volatility approach. J. Econometrics, 165: 175-189.
    CrossRefDirect Link

  3. Eichengreen, B., A. Rose and C. Wyplosz, 1996. Contagious currency crises: First tests. The Scandinavian J. Econ., 98: 463-484.
    Direct Link

  4. Forbes, K.J. and R. Rigobon, 2002. No Contagion, only interdependence: Measuring stock markets comovements. The J. Finan., 57: 2223-2261.
    CrossRefDirect Link

  5. Gallegati, M., 2012. A wavelet-based approach to test for financial market contagion. Computational Statist. Data Anal., 56: 3491-3497.
    CrossRefDirect Link

  6. Kantz, H., 1994. Quantifying the closeness of fractal measures. Phys. Rev. E. Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics, 49: 5091-5097.
    PubMed

  7. Khalid, A.M. and M. Kawai, 2003. Was financial market contagion the source of economic crisis in Asia?: Evidence using a multivariate VAR model. J. Asian Econ., 14: 131-156.
    CrossRefDirect Link

  8. Kim, H.S., R. Eykholt and J.D. Salas, 1999. Nonlinear dynamics, delay times and embedding windows. Physica D: Nonlinear Phenomena, 127: 48-60.
    CrossRefDirect Link

  9. King, M.A. and S. Wadhwani, 1990. Transmission of volatility between stockmarkets. Rev. Finan. Stud., 3: 5-33.
    Direct Link

  10. Kugiurmtzis, D., 1996. State space reconstruction parameters in the analysis of chaotic times series-the role of the time window length. Physica D: Nonlinear Phenomena, 95: 13-28.
    CrossRefDirect Link

  11. Latchoumane, C.F.V. and J. Jeong, 2011. Quantification of brain macrostates using dynamical nonstationarity of physiological time series. IEEE Trans. Biomed. Engin., 58: 1084-1093.
    CrossRefDirect Link

  12. Longin, F. and B. Solnik, 2001. Extreme correlation of international equity markets. J. Finance, 56: 649-676.
    Direct Link

  13. Madaleno, M. and C. Pinho, 2012. International stock market indices comovements: A new look. Int. J. Finan. Econ., 17: 89-102.
    CrossRefDirect Link

  14. Navarro, V., J. Martinerie, M.L.V. Quyen, S. Clemenceau, C. Adam, M. Baulac and F. Varela, 2002. Seizure anticipation in human neocortical partial epilepsy. Brain, 125: 640-655.
    PubMed

  15. Le Van Quyen, M., J. Martinerie, V. Navarro, P. Boon and M. D'Have et al., 2001. Anticipation of epileptic seizures from standard EEG recordings. Lancet, 357: 183-188.
    CrossRefPubMedDirect Link

  16. Rodriguez, J.C., 2007. Measuring financial contagion: A copula approach. J. Empirical Finan., 14: 401-423.
    CrossRefDirect Link

  17. Schreiber, T. and A. Schmitz, 1997. Classification of time series data with nonlinear similarity measures. Phys. Rev. Lett., 79: 1475-1478.
    Direct Link

  18. Steeves, G.M., 2002. Political shocks and abnormal returns during the Taiwan crisis: An event study analysis. Master's Thesis, Colorado University, Boulder.

  19. Takens, F., 1981. Detecting Strange Attractors in Turbulence. In: Dynamical Systems and Turbulence: Lecture Notes in Mathematics, Rand, D.A. and L.S. Young (Eds.). Vol. 899, Springer, Berlin, Heidelberg, pp: 366-381.

  20. Yu, H.X., B.L. Qiu and Y.L. Xiao, 2009. The empirical analysis of the contagion effect of financial crisis based on VAR model-The financial crisis in the United States. China Bus., 24: 51-103.

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