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    <title>Measuring systemic risk: structural approaches</title>
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    <keywords>copula function; marginal distributions; interrelational matrix; conditional value at risk banking stability index; copula models; conditional distress probability; loss cascade</keywords>
    <abstract>The financial crisis of 2007-2008 has demonstrated that factors for financial distress of large parts of the economy depend to a large extent on the interrelations between the financial institutions. Risks threatening the financial sector can be decomposed into risks based in the  individual factors for single institutions and risks which can be attributed to the financial system as a whole. This part of the risks is called  systemic risk. We review several approaches for quantifying systemic risk, most of them based on structural credit modeling. In particular, we  present an approach that is inspired by the fact that the joint probability distributions can be represented by their individual marginals and the  copula function, which represents the interrelations.</abstract>
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    <iiasa_bibref>In: C Zopounidis and G. Galariotis (Eds.); Quantitative Financial Risk Management: Theory and Practice; John Wiley &amp; Sons, Inc, Hoboken, NJ, USA pp.1-21 (May 2015)</iiasa_bibref>
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