IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/118928.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/118928/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    5. 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.
    6. 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.
    7. Dorothee Franzen, 2010. "Managing Investment Risk in Defined Benefit Pension Funds," OECD Working Papers on Insurance and Private Pensions 38, OECD Publishing.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Nikola Tarashev & Claudio Borio & Kostas Tsatsaronis, 2010. "Attributing systemic risk to individual institutions," BIS Working Papers 308, Bank for International Settlements.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabio Cortes & Peter Lindner & Sheheryar Malik & Miguel A. Segoviano, 2018. "A Comprehensive Multi-Sector Tool for Analysis of Systemic Risk and Interconnectedness (SyRIN)," IMF Working Papers 2018/014, International Monetary Fund.
    2. Zineddine Alla & Mr. Raphael A Espinoza & Qiaoluan H. Li & Miguel A. Segoviano, 2018. "Macroprudential Stress Tests: A Reduced-Form Approach to Quantifying Systemic Risk Losses," IMF Working Papers 2018/049, International Monetary Fund.
    3. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    4. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    5. I�aki Aldasoro & Ignazio Angeloni, 2015. "Input-output-based measures of systemic importance," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 589-606, April.
    6. Segoviano, Miguel & Espinoza, Raphael, 2017. "Consistent measures of systemic risk," LSE Research Online Documents on Economics 118947, London School of Economics and Political Science, LSE Library.
    7. Ignashkina, Anna & Rinne, Kalle & Suominen, Matti, 2022. "Short-term reversals, returns to liquidity provision and the costs of immediacy," Journal of Banking & Finance, Elsevier, vol. 138(C).
    8. Hué, Sullivan & Lucotte, Yannick & Tokpavi, Sessi, 2019. "Measuring network systemic risk contributions: A leave-one-out approach," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 86-114.
    9. Richard Sias & H. J. Turtle & Blerina Zykaj, 2016. "Hedge Fund Crowds and Mispricing," Management Science, INFORMS, vol. 62(3), pages 764-784, March.
    10. Chernenko, Sergey & Sunderam, Adi, 2020. "Do fire sales create externalities?," Journal of Financial Economics, Elsevier, vol. 135(3), pages 602-628.
    11. Bertrand Candelon & Laurent Ferrara & Marc Joëts, 2021. "Global financial interconnectedness: a non-linear assessment of the uncertainty channel," Applied Economics, Taylor & Francis Journals, vol. 53(25), pages 2865-2887, May.
    12. Ebrahimi Kahou, Mahdi & Lehar, Alfred, 2017. "Macroprudential policy: A review," Journal of Financial Stability, Elsevier, vol. 29(C), pages 92-105.
    13. Shimizu, Katsutoshi & Ly, Kim Cuong, 2017. "Were regulatory interventions effective in lowering systemic risk during the financial crisis in Japan?," Journal of Multinational Financial Management, Elsevier, vol. 41(C), pages 80-91.
    14. Affinito, Massimiliano & Franco Pozzolo, Alberto, 2017. "The interbank network across the global financial crisis: Evidence from Italy," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 90-107.
    15. Li, Yuelei & Hao, Aiting & Zhang, Xiaotao & Xiong, Xiong, 2018. "Network topology and systemic risk in Peer-to-Peer lending market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 118-130.
    16. Aldasoro, Iñaki & Alves, Iván, 2018. "Multiplex interbank networks and systemic importance: An application to European data," Journal of Financial Stability, Elsevier, vol. 35(C), pages 17-37.
    17. Michele Bonollo & Irene Crimaldi & Andrea Flori & Fabio Pammolli & Massimo Riccaboni, 2014. "Systemic importance of financial institutions: regulations, research, open issues, proposals," Working Papers 2/2014, IMT School for Advanced Studies Lucca, revised Mar 2014.
    18. Sam Langfield & Kimmo Soramäki, 2016. "Interbank Exposure Networks," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 3-17, January.
    19. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    20. Denbee, Edward & Julliard, Christian & Li, Ye & Yuan, Kathy, 2021. "Network risk and key players: A structural analysis of interbank liquidity," Journal of Financial Economics, Elsevier, vol. 141(3), pages 831-859.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:118928. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.