Measuring systemic risk contribution: The leave-one-out z-score method
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DOI: 10.1016/j.frl.2019.101316
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Cited by:
- Juan David Vega Baquero & Miguel Santolino, 2021. ""Too big to fail? An analysis of the Colombian banking system through compositional data"," IREA Working Papers 202111, University of Barcelona, Research Institute of Applied Economics, revised Apr 2021.
- Hafeez, Bilal & Li, Xiping & Kabir, M. Humayun & Tripe, David, 2022. "Measuring bank risk: Forward-looking z-score," International Review of Financial Analysis, Elsevier, vol. 80(C).
- Mohamed Sami Ben Ali, 2022. "Digitalization and Banking Crisis: A Nonlinear Relationship?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 421-435, June.
- Vega Baquero, Juan David & Santolino, Miguel, 2022. "Too big to fail? An analysis of the Colombian banking system through compositional data," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
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More about this item
Keywords
Systemic risk contribution; Leave-one-out; Z-score;All these keywords.
JEL classification:
- G01 - Financial Economics - - General - - - Financial Crises
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
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