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A comprehensive multi-sector tool for analysis of Systemic Risk and Interconnectedness (SyRIN)

Author

Listed:
  • Cortes, Fabio
  • Lindner, Peter
  • Malik, Sheheryar
  • Segoviano, Miguel

Abstract

This paper presents the Systemic Risk and Interconnectedness (SyRIN) tool. SyRIN allows a comprehensive assessment of systemic risk via quantification of the impact of risk amplification mechanisms, due to interconnectedness structures across banks and other financial intermediaries-insurance, pension fund, hedge fund and investment fund sectors, which cannot be captured when analyzing sectors independently. The tool produces various metrics to evaluate systemic risk from complementary perspectives, including tail risk, cross-entity interconnectedness and the contribution to systemic risk by different entities and sectors. SyRIN is easily implementable with publicly available data and can be adapted to cater to different degrees of institutional granularity and data availability. The framework is designed to be a tool to identify vulnerabilities from a top-down perspective that can lead to deeper analysis in specific sectors for policy formulation.

Suggested Citation

  • Cortes, Fabio & Lindner, Peter & Malik, Sheheryar & Segoviano, Miguel, 2018. "A comprehensive multi-sector tool for analysis of Systemic Risk and Interconnectedness (SyRIN)," LSE Research Online Documents on Economics 118928, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:118928
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    File URL: http://eprints.lse.ac.uk/118928/
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    References listed on IDEAS

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    1. Ian Tower & Gregorio Impavido, 2009. "How the Financial Crisis Affects Pensions and Insurance and Why the Impacts Matter," IMF Working Papers 2009/151, International Monetary Fund.
    2. Khandani, Amir E. & Lo, Andrew W., 2011. "What happened to the quants in August 2007? Evidence from factors and transactions data," Journal of Financial Markets, Elsevier, vol. 14(1), pages 1-46, February.
    3. Freixas, Xavier & Parigi, Bruno M & Rochet, Jean-Charles, 2000. "Systemic Risk, Interbank Relations, and Liquidity Provision by the Central Bank," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 611-638, August.
    4. Fenn, George W. & Cole, Rebel A., 1994. "Announcements of asset-quality problems and contagion effects in the life insurance industry," Journal of Financial Economics, Elsevier, vol. 35(2), pages 181-198, April.
    5. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    6. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    7. Diebold, Francis X & Gunther, Todd A & Tay, Anthony S, 1998. "Evaluating Density Forecasts with Applications to Financial Risk Management," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 863-883, November.
    8. Anand, Amber & Irvine, Paul & Puckett, Andy & Venkataraman, Kumar, 2013. "Institutional trading and stock resiliency: Evidence from the 2007–2009 financial crisis," Journal of Financial Economics, Elsevier, vol. 108(3), pages 773-797.
    9. Coval, Joshua & Stafford, Erik, 2007. "Asset fire sales (and purchases) in equity markets," Journal of Financial Economics, Elsevier, vol. 86(2), pages 479-512, November.
    10. Miguel A. Segoviano, 2006. "Portfolio Credit Risk and Macroeconomic Shocks: Applications to Stress Testing Under Data-Restricted Environments," IMF Working Papers 2006/283, International Monetary Fund.
    11. Harald Hau & Sandy Lai, 2017. "The Role of Equity Funds in the Financial Crisis Propagation," Review of Finance, European Finance Association, vol. 21(1), pages 77-108.
    12. Nikola Tarashev & Claudio Borio & Kostas Tsatsaronis, 2010. "Attributing systemic risk to individual institutions," BIS Working Papers 308, Bank for International Settlements.
    13. Dorothee Franzen, 2010. "Managing Investment Risk in Defined Benefit Pension Funds," OECD Working Papers on Insurance and Private Pensions 38, OECD Publishing.
    14. Segoviano, Miguel A., 2006. "Consistent information multivariate density optimizing methodology," LSE Research Online Documents on Economics 24511, London School of Economics and Political Science, LSE Library.
    15. Fields, Joseph A & Klein, Linda S & Myskowski, Edward G, 1998. "Lloyd's Financial Distress and Contagion within the US Property and Liability Insurance Industry," Journal of Risk and Uncertainty, Springer, vol. 16(2), pages 173-185, May-June.
    16. Naohiko Baba & Robert N McCauley & Srichander Ramaswamy, 2009. "US dollar money market funds and non-US banks," BIS Quarterly Review, Bank for International Settlements, March.
    17. Sergey Chernenko & Adi Sunderam, 2014. "Frictions in Shadow Banking: Evidence from the Lending Behavior of Money Market Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 27(6), pages 1717-1750.
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    More about this item

    Keywords

    financial stability; systemic risk; shadow banks; mutual funds; spillovers;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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