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Statistical properties of the stock and credit market: RMT and network topology

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  • Lim, Kyuseong
  • Kim, Min Jae
  • Kim, Sehyun
  • Kim, Soo Yong

Abstract

We analyzed the dependence structure of the credit and stock market using random matrix theory and network topology. The dynamics of both markets have been spotlighted throughout the subprime crisis. In this study, we compared these two markets in view of the market-wide effect from random matrix theory and eigenvalue analysis. We found that the largest eigenvalue of the credit market as a whole preceded that of the stock market in the beginning of the financial crisis and that of two markets tended to be synchronized after the crisis. The correlation between the companies of both markets became considerably stronger after the crisis as well.

Suggested Citation

  • Lim, Kyuseong & Kim, Min Jae & Kim, Sehyun & Kim, Soo Yong, 2014. "Statistical properties of the stock and credit market: RMT and network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 66-75.
    • Handle: RePEc:eee:phsmap:v:407:y:2014:i:c:p:66-75
    DOI: 10.1016/j.physa.2014.03.080
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    References listed on IDEAS

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    14. Kim, Min Jae & Kim, Sehyun & Jo, Yong Hwan & Kim, Soo Yong, 2011. "Dependence structure of the commodity and stock markets, and relevant multi-spread strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3842-3854.
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    Cited by:

    1. Lim, Kyuseong & Kim, Sehyun & Kim, Soo Yong, 2017. "Information transfer across intra/inter-structure of CDS and stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 118-126.
    2. Zhong, Tao & Peng, Qinke & Wang, Xiao & Zhang, Jing, 2016. "Novel indexes based on network structure to indicate financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 583-594.

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