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Systemic Risk, an Empirical Approach




We have developed a quantitative analysis to verify the extent to which the sources of systemic risk identified in the academic and regulatory literature actually contribute to it.This analysis shows that all institutions contribute to systemic risk albeit to a different degree depending on various risk factors such as size, interconnection, unsubstitutability, balance sheet, and risk quality. From the analysis we conclude that using a single variable or a limited series of variables as a proxy for systemic risk generates considerable errors when identifying and measuring the systemic risk of each institution. When designing systemic risk mitigation measures, all contributing factors should be taken into account. Likewise, classifying institutions as systemic/non- systemic would mean giving similar treatment to institutions that could bear very different degrees of systemic risk, while treating differently institutions that may have very similar systemic risk inside. Consequently, we advocate that some continuous approach to systemic risk in which all institutions are deemed systemic, but to varying degrees, would be preferable. We acknowledge that this analysis may prove somehow limited given that it is not founded on a predefined conceptual approach, does not fully consider other very relevant qualitative factors and accounts only for some of the relevant sources of systemic risk in the banking system. These limits are currently set due to data availability and the current state of empirical research, but we believe that these should not hinder our work in identifying the true sources of systemic risk and our aim to help avoid any partial and thus limited prudential policy approach.

Suggested Citation

  • Cadenas Santiago, Gonzalo & Sanchis Arellano, Alicia, 2011. "Systemic Risk, an Empirical Approach," Journal of Financial Transformation, Capco Institute, vol. 32, pages 1-17.
  • Handle: RePEc:ris:jofitr:1457

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    References listed on IDEAS

    1. Arnaud Doucet & Vladislav Tadić, 2003. "Parameter estimation in general state-space models using particle methods," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 55(2), pages 409-422, June.
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    4. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
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    More about this item


    Systemic Risk; Empirical; Principal Component Analysis; Panel Data;

    JEL classification:

    • B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
    • B26 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Financial Economics
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection


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