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Extreme Spillover Between Shadow Banking and Regular Banking

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  • Paraschiv, Florentina
  • Qin, Minzi

Abstract

The current financial crisis brought light to a large banking sector that existed for decades within the “darkness” of the financial system - the shadow banking sector. Shadow bank assets are widely traded in the financial markets and shadow banking activities are intertwined with the daily business of regular banks. This unregulated banking sector has become systematically important. Its failure affected the entire banking system. We present a model based on multivariate extreme value theory, which allows us to measure crashes and liquidity squeezes. Using the stable tail dependence structure, we measure the interdependency between the tail probabilities of the regular banking sector and the shadow banking sector. This allows us to calculate the conditional spillover likelihood between asset returns and liquidity spreads for selected crash levels. The empirical results indicate a fairly strong contagion probability between shadow bank assets and regular bank assets.

Suggested Citation

  • Paraschiv, Florentina & Qin, Minzi, 2013. "Extreme Spillover Between Shadow Banking and Regular Banking," Working Papers on Finance 1312, University of St. Gallen, School of Finance.
    • Handle: RePEc:usg:sfwpfi:2013:12
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    References listed on IDEAS

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    Cited by:

    1. Chen, Ting-Hsuan & Lee, Chien-Chiang, 2020. "Spatial analysis of liquidity risk in China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

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