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Systemic Tail Risk Distribution


  • Alexis Bienvenüe
  • Christian Y. Robert


We introduce the systemic tail risk distribution of a financial market to characterize the asset return linkages during financial crisis. This distribution provides the probabilities that several assets of a market lose a large part of their nominal value given that the price of at least one of them collapses. It introduces a new way of assessing the stability of a financial market during potential systemic risk events. We propose a new type of multivariate extreme value distribution for high-dimensional vectors to model the extremal dependence between asset prices, and we use efficient likelihood inference methods to estimate the parameters of the systemic tail risk distribution. Our real data show that the empirical static systemic tail risk distribution is U-shaped, while the empirical conditional distribution is L-shaped.

Suggested Citation

  • Alexis Bienvenüe & Christian Y. Robert, 2016. "Systemic Tail Risk Distribution," Annals of Economics and Statistics, GENES, issue 123-124, pages 29-52.
  • Handle: RePEc:adr:anecst:y:2016:i:123-124:p:29-52 DOI: 10.15609/annaeconstat2009.123-124.0029

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    References listed on IDEAS

    1. Joel L. Horowitz, 1996. "Bootstrap Methods in Econometrics: Theory and Numerical Performance," Econometrics 9602009, EconWPA, revised 05 Mar 1996.
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    More about this item


    Systemic Risk; Financial Crises; Heavy Tails; Multivariate Extreme Value Theory;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages


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