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A Systematic approach to identify systemically important firms

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  • Natasha Agarwal et al

    (Indira Gandhi Institute of Development Research)

Abstract

This paper uses the average of the percentile ranking of three measures of systemic risk - Granger Causality, Marginal Expected Shortfall, and Conditional Value at Risk - to calculate a single systemic risk index (SRI) for a lrm. The SRI is used to identify systemically important lrms (SIFs) among the 50 largest lrms in a quarter. This has the advantage of identifying SIFs on a regular basis using readily available data. The paper uses this approach to identify SIFs by SRI each quarter from 2000 to 2012, and lnds that the cumulative risk of the SIFs tracks the changes in systemic risk in India during the 2008 crisis. The paper also lnds merit in monitoring non-lnancial lrms by their SRI, particularly when bank loan portfolios have concentrated exposures in these firms.

Suggested Citation

  • Natasha Agarwal et al, 2013. "A Systematic approach to identify systemically important firms," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2013-021, Indira Gandhi Institute of Development Research, Mumbai, India.
  • Handle: RePEc:ind:igiwpp:2013-021
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    File URL: http://www.igidr.ac.in/pdf/publication/WP-2013-021.pdf
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    References listed on IDEAS

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    1. Sylvain Benoit & Gilbert Colletaz & Christophe Hurlin & Christophe Pérignon, 2013. "A Theoretical and Empirical Comparison of Systemic Risk Measures," Working Papers halshs-00746272, HAL.
    2. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2010. "Measuring systemic risk," Working Paper 1002, Federal Reserve Bank of Cleveland.
    3. Sedunov, John, 2016. "What is the systemic risk exposure of financial institutions?," Journal of Financial Stability, Elsevier, vol. 24(C), pages 71-87.
    4. Idier, Julien & Lamé, Gildas & Mésonnier, Jean-Stéphane, 2014. "How useful is the Marginal Expected Shortfall for the measurement of systemic exposure? A practical assessment," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 134-146.
    5. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    6. Mauricio Arias & Juan Carlos Mendoza & David Perez-Reyna, 2011. "Applying CoVaR to measure systemic market risk: the Colombian case," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 351-364 Bank for International Settlements.
    7. Rungporn Roengpitya & Phurichai Rungcharoenkitkul, 2010. "Measuring Systemic Risk And Financial Linkages In The Thai Banking System," Working Papers 2010-02, Monetary Policy Group, Bank of Thailand.
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    More about this item

    Keywords

    Systemic Risk Measures; Systemically Important Firms;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

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