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1. Artzner P., Delbaen F., Eber J.-M., Heath D. (1999). Coherent Measures of Risk. Mathematical Finance, 9, 3, 203228.
2. Avellaneda M., Cont R. (2013). Close-out risk evaluation (CORE): A new risk management ap-proach for central counterparties. SSRN Electronic Journal.
3. Bernhard P., Engwerda J.C., Roorda B. et al. (2013). The interval market model in mathematical finance: Game-theoretic methods. N.Y.: Springer.
4. Burzoni M., Frittelli M., Hou Z., Maggis M., Obloj J. (2019). Pointwise arbitrage pricing theory in discrete time. Mathematics of Operations Research, 44, 3, 10341057.
5. Capponi A., Cheng W.A., Sethuraman J. (2017). Clearinghouse default waterfalls: Risk-sharing, incentives, and systemic risk. Available at: https://ssrn.com/abstract=2930099
6. Carassus L., Obl?j J., Wiesel J. (2019). The robust superreplication problem: A dynamic approach. SIAM Journal on Financial Mathematics, 10, 4, 907941.
7. Cont R. (2015). The end of the waterfall: Default resources of central counterparties. Journal of Risk Management in Financial Institutions, 8, 4, 365389.
8. CPMI-IOSCO (2017). Resilience of central counterparties (CCPs): Further guidance on the PFMI. Available at: https://www.bis.org/cpmi/publ/d163.pdf
9. CPSS, IOSCO (2012). Principles for financial market infrastructures. Available at: https://www.iosco.org/library/pubdocs/pdf/IOSCOPD396.pdf
10. Dolmatov A.S. (2007). Mathematical methods in risk-management. Moscow: Ekzamen (in Russian).
11. Fekete M. (1923). Uber die Verteilung der Wurzeln bei gewissen algebraischen Gleichungen mit ganzzahligen Koeffizienten. Mathematische Zeitschrift, 17, 1, 228249.
12. Follmer H., Schied A. (2016). Stochastic finance. An introduction in discrete time. 4th edition. N.Y.: Walter de Gruyter.
13. IOSCO (1996). Report on margin. Available at: https://www.iosco.org/library/pubdocs/pdf/IOSCOPD50.pdf
14. ISDA (2019). CCP best practices. Available at: https://www.isda.org/2019/01/24/ccp- best- practices/
15. Mayorov S. (2015). Clearing in the financial markets. Moscow: Statistika Rossii (in Russian).
16. Smirnov S.N. (2018). A guaranteed deterministic approach to superhedging: financial market model, trading constraints and BellmanIsaacs equations. Mathematical Game Theory and Its Applications, 10, 4, 5999 (in Russian).
17. Smirnov S.N. (2019). Guaranteed deterministic approach to superhedging: Lipschitz properties of solutions of the BellmanIsaacs equations. In: L.A. Petrosyan, V.V. Mazalov, N.A. Zenkevich Frontiers of Dynamic Games. Berlin: Springer, 267288.
18. Smirnov S.N. (2021). A guaranteed deterministic approach to superhedging: Financial market model, trading constraints and BellmanIsaacs equations. Automation and Remote Control, 82, 4, 722743.
19. Smirnov S.N., Zakharov A.V., Polimatidi I.V., Balabushkin A.N. (2004). Method of electronic exchange trading in derivative financial instruments, methods for determining the level of deposit margin, methods for resolving margin deficit. Patent of Russian Federation No. 2226714 (in Russian).
20. Vicente L.A.B.G. (2012). Risk assessment processes for closeout of a portfolio. Google patents, US Patent App. 13/462,091.
21. Vicente L.A.B.G., Cerezetti F., Faria S. de, Iwashita T., Pereira O. (2015). Managing risk in multi-asset class, multimarket central counterparties: The CORE approach. Journal of Banking & Finance, 51, 119130.