Too-connected-to-fail Institutions and Payments System�s Stability: Assessing Challenges for Financial Authorities

Carlos Le�n, Clara Machado, Freddy Cepeda-Lopez and Miguel Sarmiento ()
Authors registered in the RePEc Author Service: Carlos León

No 8155, Borradores de Economia from Banco de la Republica

Abstract: The most recent episode of market turmoil exposed the limitations resulting from the traditional focus on too-big-to-fail institutions within an increasingly systemic-crisis-prone financial system, and encouraged the appearance of the too-connected-to-fail (TCTF) concept. The TCTF concept conveniently broadens the base of potential destabilizing institutions beyond the traditional banking-focused approach to systemic risk, but requires methodologies capable of coping with complex, cross-dependent, context-dependent and non-linear systems. After comprehensively introducing the rise of the TCTF concept, this paper presents a robust, parsimonious and powerful approach to identifying and assessing systemic risk within payments systems, and proposes some analytical routes for assessing financial authorities� challenges. Banco de la Republica�s approach is based on a convenient mixture of network topology basics for identifying central institutions, and payments systems simulation techniques for quantifying the potential consequences of central institutions failing within Colombian large-value payments systems. Unlike econometrics or network topology alone, results consist of a rich set of quantitative outcomes that capture the complexity, cross-dependency, context-dependency and non-linearity of payments systems, but conveniently disaggregated and dollar-denominated. These outcomes and the proposed analysis provide practical information for enhanced policy and decision-making, where the ability to measure each institution�s contribution to systemic risk may assist financial authorities in their task to achieve payments system�s stability.

Keywords: Payments systems; too-connected-to-fail; too-big-to-fail; systemic risk; network topology; simulatio (search for similar items in EconPapers)
JEL-codes: C63 D85 E44 E58 G21 (search for similar items in EconPapers)
Pages: 46
Date: 2011-03-03
New Economics Papers: this item is included in nep-ban and nep-cba
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Citations: View citations in EconPapers (14)

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