Allocating Systemic Risk In A Regulatory Perspective
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DOI: 10.1142/S0219024913500416
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References listed on IDEAS
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Cited by:
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- Jan Dhaene & Roger J. A. Laeven & Yiying Zhang, 2019. "Systemic Risk: Conditional Distortion Risk Measures," Papers 1901.04689, arXiv.org, revised Jan 2019.
- Benoit, Sylvain, 2024. "Smart systemic-risk scores," Journal of International Money and Finance, Elsevier, vol. 140(C).
- Takaaki Koike & Marius Hofert, 2019. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Papers 1909.11794, arXiv.org, revised May 2020.
- Kley, Oliver & Klüppelberg, Claudia & Paterlini, Sandra, 2020.
"Modelling extremal dependence for operational risk by a bipartite graph,"
Journal of Banking & Finance, Elsevier, vol. 117(C).
- Oliver Kley & Claudia Klüppelberg & Sandra Paterlini, 2019. "Modelling Extremal Dependence for Operational Risk by a Bipartite Graph," DEM Working Papers 2019/2, Department of Economics and Management.
- Oliver Kley & Claudia Kluppelberg & Sandra Paterlini, 2019. "Modelling Extremal Dependence for Operational Risk by a Bipartite Graph," Papers 1902.03041, arXiv.org.
- João A. Bastos & Fernando Cascão, 2024. "Nonparametric determinants of market Liquidity," Working Papers REM 2024/0332, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
- Takaaki Koike & Marius Hofert, 2020. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Risks, MDPI, vol. 8(1), pages 1-33, January.
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Keywords
Risk measure; allocation; regulation; coherent risk contribution; systemic risk; procyclical effect;All these keywords.
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