Too-connected-to-fail Institutions and Payments System´s Stability: Assessing Challenges for Financial Authorities
AbstractThe 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.
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Bibliographic InfoPaper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 008155.
Date of creation: 03 Mar 2011
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Payments systems; too-connected-to-fail; too-big-to-fail; systemic risk; network topology; simulation; central bank liquidity.;
Other versions of this item:
- Carlos Léon & Clara Machado & Freddy Cepeda & Miguel Sarmiento, . "Too-connected-to-fail Institutions and Payments System’s Stability: Assessing Challenges for Financial Authorities," Borradores de Economia 644, Banco de la Republica de Colombia.
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-03-19 (All new papers)
- NEP-BAN-2011-03-19 (Banking)
- NEP-CBA-2011-03-19 (Central Banking)
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- 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
011104, BANCO DE LA REPÚBLICA.
- 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 799, Banco de la Republica de Colombia.
- Carlos León, 2012.
"Estimating financial institutions’ intraday liquidity risk: a Monte Carlo simulation approach,"
Borradores de Economia
703, Banco de la Republica de Colombia.
- Carlos Léon, 2012. "Estimating financial institutions´ intraday liquidity risk: a Monte Carlo simulation approach," BORRADORES DE ECONOMIA 009441, BANCO DE LA REPÚBLICA.
- Carlos Castro & Juan Sebastian Ordoñez, 2012. "A Network model of systemic risk: identifying the sources of dependence across institutions," DOCUMENTOS DE TRABAJO, UNIVERSIDAD DEL ROSARIO 009651, UNIVERSIDAD DEL ROSARIO.
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