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Designing an expert knowledge-based Systemic Importance Index for financial institutions

Author

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  • Carlos Léon
  • Clara Machado

Abstract

Defining whether a financial institution is systemically important (or not) is challenging due to (i) the inevitability of combining complex importance criteria such as institutions´ size, connectedness and substitutability; (ii) the ambiguity of what an appropriate threshold for those criteria may be; and (iii) the involvement of expert knowledge as a key input for combining those criteria. The proposed method, a Fuzzy Logic Inference System, uses four key systemic importance indicators that capture institutions´ size, connectedness and substitutability, and a convenient deconstruction of expert knowledge to obtain a Systemic Importance Index. This method allows for combining dissimilar concepts in a non-linear, consistent and intuitive manner, whilst considering them as continuous -non binary- functions. Results reveal that the method imitates the way experts them-selves think about the decision process regarding what a systemically important financial institution is within the financial system under analysis. The Index is a comprehensive relative assessment of each financial institution´s systemic importance. It may serve financial authorities as a quantitative tool for focusing their attention and resources where the severity resulting from an institution failing or near-failing is estimated to be the greatest. It may also serve for enhanced policy-making (e.g. prudential regulation, oversight and supervision) and decision-making (e.g. resolving, restructuring or providing emergency liquidity).

Suggested Citation

  • Carlos Léon & Clara Machado, 2011. "Designing an expert knowledge-based Systemic Importance Index for financial institutions," Borradores de Economia 8953, Banco de la Republica.
    • Handle: RePEc:col:000094:008953
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    Cited by:

    1. Carlos León & Ron J. Berndsen, 2013. "Modular scale-free architecture of Colombian financial networks: Evidence and challenges with financial stability in view," Borradores de Economia 11104, Banco de la Republica.
    2. Freddy Cepeda L. & Fabio Ortega C., 2015. "A dynamic approach to intraday liquidity needs," Borradores de Economia 12686, Banco de la Republica.
    3. Carlos León & Clara Machado & Andrés Murcia, 2013. "Macro-prudential assessment of Colombian financial institutions’ systemic importance," Borradores de Economia 11105, Banco de la Republica.
    4. Martínez, Constanza & León, Carlos, 2016. "The cost of collateralized borrowing in the Colombian money market: Does connectedness matter?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 193-205.
    5. Orlando Rivera-Escobar & John Willmer Escobar & Diego Fernando Manotas, 2022. "Measurement of Systemic Risk in the Colombian Banking Sector," Risks, MDPI, vol. 10(1), pages 1-27, January.
    6. Carlos León & Clara Machado & Andrés Murcia, 2013. "Macro-prudential assessment of Colombian financial institutions’ systemic importance," Borradores de Economia 11105, Banco de la Republica.

    More about this item

    Keywords

    Systemic Importance; Systemic Risk; Fuzzy Logic; Approximate Reasoning; Too-connected-to-fail; Too-big-to-fail.;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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