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Redundancy of Centrality Measures in Financial Market Infrastructures

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  • Martínez-Ventura, Constanza
  • Mariño-Martínez, Ricardo
  • Miguélez-Márquez, Javier

Abstract

The concept of centrality is widely used to monitor systems with a network structure because it allows identifying their most influential participants. This monitoring task can be difficult if the number of system participants is considerably large or if the wide variety of centrality measures currently available produce non-coincident (or mixed) signals. This document uses robust principal component analysis to evaluate a set of centrality measures calculated for the financial institutions that participate in Colombia's four financial market infrastructures. The results obtained are used to construct general indices of centrality, using the most robust measures of centrality as inputs and leaving aside those considered redundant.

Suggested Citation

  • Martínez-Ventura, Constanza & Mariño-Martínez, Ricardo & Miguélez-Márquez, Javier, 2023. "Redundancy of Centrality Measures in Financial Market Infrastructures," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).
    • Handle: RePEc:eee:lajcba:v:4:y:2023:i:4:s2666143823000194
    DOI: 10.1016/j.latcb.2023.100098
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    1. Morten Linnemann Bech & Jenny Hancock & Tara Rice & Amber Wadsworth, 2020. "On the future of securities settlement," BIS Quarterly Review, Bank for International Settlements, March.
    2. Pablo Rovira Kaltwasser & Alessandro Spelta, 2019. "Identifying systemically important financial institutions: a network approach," Computational Management Science, Springer, vol. 16(1), pages 155-185, February.
    3. Temizsoy, Asena & Iori, Giulia & Montes-Rojas, Gabriel, 2017. "Network centrality and funding rates in the e-MID interbank market," Journal of Financial Stability, Elsevier, vol. 33(C), pages 346-365.
    4. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    5. Seungjin Baek & Kimmo Soramäki & Jaeho Yoon, 2014. "Network Indicators for Monitoring Intraday Liquidity in BOK-Wire+," Working Papers 2014-1, Economic Research Institute, Bank of Korea.
    6. Soramäki, Kimmo & Cook, Samantha, 2013. "SinkRank: An algorithm for identifying systemically important banks in payment systems," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-27.
    7. I. T. Jolliffe, 1972. "Discarding Variables in a Principal Component Analysis. I: Artificial Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 21(2), pages 160-173, June.
    8. Bollerslev, Tim & Melvin, Michael, 1994. "Bid--ask spreads and volatility in the foreign exchange market : An empirical analysis," Journal of International Economics, Elsevier, vol. 36(3-4), pages 355-372, May.
    9. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    10. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    11. Vincenzo Verardi & Catherine Dehon, 2010. "Multivariate outlier detection in Stata," Stata Journal, StataCorp LP, vol. 10(2), pages 259-266, June.
    12. Arnold Wollenberg, 1977. "Redundancy analysis an alternative for canonical correlation analysis," Psychometrika, Springer;The Psychometric Society, vol. 42(2), pages 207-219, June.
    13. I. T. Jolliffe, 1973. "Discarding Variables in a Principal Component Analysis. Ii: Real Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(1), pages 21-31, March.
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    More about this item

    Keywords

    Centrality; Robust principal component analysis; Redundancy analysis; Clustering analysis;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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