Too-connected-to-fail Institutions and Payments System’s Stability: Assessing Challenges for Financial Authorities
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Abstract
Suggested Citation
DOI: 10.32468/be.644
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Cited by:
- Carlos León & Clara Machado & Andrés Murcia, 2016. "Assessing Systemic Importance With a Fuzzy Logic Inference System," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 121-153, January.
- Rincón, Hernán & Velasco, Andrés M. (ed.), 2013. "Flujos de capitales, choques externos y respuestas de política en países emergentes," Books, Banco de la Republica de Colombia, number 2013-09, July.
- Lu, Shan & Zhao, Jichang & Wang, Huiwen & Ren, Ruoen, 2018. "Herding boosts too-connected-to-fail risk in stock market of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 945-964.
- Jacob Kleinow & Andreas Horsch & Mario Garcia-Molina, 2017. "Factors driving systemic risk of banks in Latin America," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 211-234, April.
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Keywords
Payments systems; too-connected-to-fail; too-big-to-fail; systemic risk; network topology; simulation; central bank liquidity.;All these keywords.
JEL classification:
- 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
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