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Measuring systemic risk across financial market infrastructures

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  • Li, Fuchun
  • Perez-Saiz, Hector

Abstract

We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to a common FMI participant. We construct indicators of credit risk exposures in three main Canadian FMIs and use multivariate extreme value methods to estimate this probability. We find large differences in the levels of systemic risk across participants. Conditional on the participant being distressed, we re-estimate these probabilities and find that some participants create large exposures to FMIs, resulting in a larger level of systemic risk than the rest of the participants. Our results suggest that an appropriate oversight of FMIs may benefit from an in-depth system-wide analysis, which may have useful implications for the macroprudential regulation of the financial system.

Suggested Citation

  • Li, Fuchun & Perez-Saiz, Hector, 2018. "Measuring systemic risk across financial market infrastructures," Journal of Financial Stability, Elsevier, vol. 34(C), pages 1-11.
  • Handle: RePEc:eee:finsta:v:34:y:2018:i:c:p:1-11
    DOI: 10.1016/j.jfs.2017.08.003
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    3. Radoslav Raykov, 2021. "Systemic Risk and Portfolio Diversification: Evidence from the Futures Market," Staff Working Papers 21-50, Bank of Canada.
    4. Leonard Sabetti & Ronald Heijmans, 2020. "Shallow or deep? Detecting anomalous flows in the Canadian Automated Clearing and Settlement System using an autoencoder," Working Papers 681, DNB.
    5. Badarau, Cristina & Lapteacru, Ion, 2020. "Bank risk, competition and bank connectedness with firms: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    6. Biswas, Swarnava S. & Gómez, Fabiana, 2018. "Contagion through common borrowers," Journal of Financial Stability, Elsevier, vol. 39(C), pages 125-132.
    7. Sabetti, Leonard & Heijmans, Ronald, 2021. "Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    8. Kosenko, Konstantin & Michelson, Noam, 2022. "It takes more than two to tango: Multiple bank lending, asset commonality and risk," Journal of Financial Stability, Elsevier, vol. 61(C).
    9. Rayenda K. Brahmana & Hui‐Wei You & Evan Lau, 2022. "Does reputation matter for firm risk in developing country?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2110-2123, April.
    10. Qian, Qian & Yang, Yang & Gu, Jing & Feng, Hairong, 2019. "Information authenticity, spreading willingness and credit risk contagion – A dual-layer network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
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    More about this item

    Keywords

    Credit risk exposure; Systemic risk; Financial stability; Financial market infrastructure; Extreme value theory; Clearing; Settlement;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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