Robust Risk Quantification via Shock Propagation in Financial Networks

Published Online:https://doi.org/10.1287/opre.2020.0722

References

  • Ahn D (2020) Shock amplification in financial networks with applications to the CCP feasibility. Quant. Finance 20(7):1045–1056.CrossrefGoogle Scholar
  • Ahn D, Kim KK (2018) Efficient simulation for expectations over the union of half-spaces. ACM Trans. Modeling Comput. Simulation 28(3):23.CrossrefGoogle Scholar
  • Ahn D, Kim KK (2019) Optimal intervention under stress scenarios: A case of the Korean financial system. Oper. Res. Lett. 47(4):257–263.CrossrefGoogle Scholar
  • Amini H, Feinstein Z (2023) Optimal network compression. Eur. J. Oper. Res. 306(3):1439–1455.CrossrefGoogle Scholar
  • Anand K, Craig B, von Peter G (2015) Filling in the blanks: Network structure and interbank contagion. Quant. Finance 15(4):625–636.CrossrefGoogle Scholar
  • Anand K, van Lelyveld I, Banai Á, Friedrich S, Garratt R, Hałaj G, Fique J, et al. (2018) The missing links: A global study on uncovering financial network structures from partial data. J. Financial Stability 35:107–119.CrossrefGoogle Scholar
  • Baral P, Fique JP (2012) Estimation of bilateral exposures: A copula approach. Preprint, submitted May 23, https://cirano.qc.ca/conferences/public/pdf/networks2012/02-BARAL-FIQUE-Estimation_of_Bilateral_Exposures-A_Copula_Approach.pdf.Google Scholar
  • Bartesaghi P, Benzi M, Clemente GP, Grassi R, Estrada E (2020) Risk-dependent centrality in economic and financial networks. SIAM J. Financial Math. 11(2):526–565.CrossrefGoogle Scholar
  • Barucca P, Bardoscia M, Caccioli F, D’Errico M, Visentin G, Caldarelli G, Battiston S (2020) Network valuation in financial systems. Math. Finance 30(4):1181–1204.CrossrefGoogle Scholar
  • Battiston S, Caldarelli G, May RM, Roukny T, Stiglitz JE (2016) The price of complexity in financial networks. Proc. Natl. Acad. Sci. USA 113(36):10031–10036.CrossrefGoogle Scholar
  • BCBS (2020a) Large Exposures. The Basel Framework (Bank for International Settlement, Basel, Switzerland).Google Scholar
  • BCBS (2020b) Risk-Based Capital Requirements. The Basel Framework (Bank for International Settlement, Basel, Switzerland).Google Scholar
  • BCBS (2020c) Scope and Definitions. The Basel Framework (Bank for International Settlement, Basel, Switzerland).Google Scholar
  • Benoit S, Colliard JE, Hurlin C, Pérignon C (2017) Where the risks lie: A survey on systemic risk. Rev. Finance 21(1):109–152.CrossrefGoogle Scholar
  • Bertsimas D, Brown DB, Caramanis C (2011) Theory and applications of robust optimization. SIAM Rev. 53(3):464–501.CrossrefGoogle Scholar
  • Biagini F, Fouque J, Frittelli M, Meyer-Brandis T (2019) A unified approach to systemic risk measures via acceptance sets. Math. Finance 29(1):329–367.CrossrefGoogle Scholar
  • Birge JR, Khabazian A, Peng J (2018) Optimization modeling and techniques for systemic risk assessment and control in financial networks. INFORMS TutORials Oper. Res. 2018:64–84.Google Scholar
  • Bosma JJ, Koetter M, Wedow M (2019) Too connected to fail? Inferring network ties from price co-movements. J. Bus. Econom. Statist. 37(1):67–80.CrossrefGoogle Scholar
  • Bradley BO, Taqqu MS (2003) Financial risk and heavy tails. Rachev ST, ed. Handbook of Heavy Tailed Distributions in Finance (Elsevier, Amsterdam), 35–103.CrossrefGoogle Scholar
  • Calafiore G, Campi MC (2005) Uncertain convex programs: Randomized solutions and confidence levels. Math. Programming 102(1):25–46.CrossrefGoogle Scholar
  • Calafiore G, Campi MC (2006) The scenario approach to robust control design. IEEE Trans. Automatic Control 51(5):742–753.CrossrefGoogle Scholar
  • Candogan O, Bimpikis K, Ozdaglar A (2012) Optimal pricing in networks with externalities. Oper. Res. 60(4):883–905.LinkGoogle Scholar
  • Capponi A (2016) Systemic risk, policies, and data needs. INFORMS TutORials Oper. Res. 2016:185–206.Google Scholar
  • Capponi A, Larsson M (2015) Price contagion through balance sheet linkages. Rev. Asset Pricing Stud. 5(2):227–253.CrossrefGoogle Scholar
  • Capponi A, Weber M (2023) Systemic portfolio diversification. Preprint, submitted June 16, https://dx.doi.org/10.2139/ssrn.3345399.Google Scholar
  • Capponi A, Chen PC, Yao DD (2016) Liability concentration and systemic losses in financial networks. Oper. Res. 64(5):1121–1134.LinkGoogle Scholar
  • Chen N, Liu X, Yao DD (2016) An optimization view of financial systemic risk modeling: The network effect and the market liquidity effect. Oper. Res. 64(5):1089–1108.LinkGoogle Scholar
  • Cifuentes R, Ferrucci G, Shin HS (2005) Liquidity risk and contagion. J. Eur. Econom. Assoc. 3(2/3):556–566.CrossrefGoogle Scholar
  • Cimini G, Squartini T, Garlaschelli D, Gabrielli A (2015) Systemic risk analysis on reconstructed economic and financial networks. Science Rep. 5:15758.CrossrefGoogle Scholar
  • Das SR (2016) Matrix metrics: Network-based systemic risk scoring. J. Alternative Investments 18(4):33–51.CrossrefGoogle Scholar
  • Demange G (2018) Contagion in financial networks: A threat index. Management Sci. 64(2):955–970.LinkGoogle Scholar
  • Drehmann M, Tarashev N (2013) Measuring the systemic importance of interconnected banks. J. Financial Intermediation 22(4):586–607.CrossrefGoogle Scholar
  • Eisenberg L, Noe TH (2001) Systemic risk in financial systems. Management Sci. 47(2):236–249.LinkGoogle Scholar
  • Elliott M, Golub B, Jackson MO (2014) Financial networks and contagion. Amer. Econom. Rev. 104(10):3115–3153.CrossrefGoogle Scholar
  • Elsinger H, Lehar A, Summer M (2006) Risk assessment for banking systems. Management Sci. 52(9):1301–1314.LinkGoogle Scholar
  • Feinstein Z, Rudloff B, Weber S (2017) Measures of systemic risk. SIAM J. Financial Math. 8(1):672–708.CrossrefGoogle Scholar
  • Feinstein Z, Pang W, Rudloff B, Schaanning E, Sturm S, Wildman M (2018) Sensitivity of the Eisenberg-Noe clearing vector to individual interbank liabilities. SIAM J. Financial Math. 9(4):1286–1325.CrossrefGoogle Scholar
  • Gai P, Kapadia S (2010) Contagion in financial networks. Proc. Roy. Soc. London A 466(2120):2401–2423.CrossrefGoogle Scholar
  • Gandy A, Veraart LAM (2017) A Bayesian methodology for systemic risk assessment in financial networks. Management Sci. 63(12):4428–4446.LinkGoogle Scholar
  • Glasserman P, Young HP (2015) How likely is contagion in financial networks? J. Banking Finance 50:383–399.CrossrefGoogle Scholar
  • Glasserman P, Young HP (2016) Contagion in financial networks. J. Econom. Literature 54(3):779–831.CrossrefGoogle Scholar
  • Guerrieri L, Iacoviello M, Minetti R (2012) Banks, sovereign debt, and the international transmission of business cycles. NBER Internat. Seminar Macroeconomics 9(1):181–213.Google Scholar
  • Halaj G, Kok C (2013) Assessing interbank contagion using simulated networks. Comput. Management Sci. 10:157–186.CrossrefGoogle Scholar
  • Hong LJ, Yang Y, Zhang L (2011) Sequential convex approximations to joint chance constrained programs: A Monte Carlo approach. Oper. Res. 59(3):617–630.LinkGoogle Scholar
  • in ’t Veld D, van der Leij M, Hommes C (2020) The formation of a core-periphery structure in heterogeneous financial networks. J. Econom. Dynamics Control 119:103972.CrossrefGoogle Scholar
  • Khabazian A, Peng J (2019) Vulnerability analysis of the financial network. Management Sci. 65(7):3302–3321.LinkGoogle Scholar
  • Kuzubaş TU, Ömercikoǧlu I, Saltoǧlu B (2014) Network centrality measures and systemic risk: An application to the Turkish financial crisis. Phys. A 405:203–215.CrossrefGoogle Scholar
  • Liu M, Staum J (2010) Sensitivity analysis of the Eisenberg-Noe model of contagion. Oper. Res. Lett. 38(5):489–491.CrossrefGoogle Scholar
  • Luedtke J, Ahmed S (2008) A sample approximation approach for optimization with probabilistic constraints. SIAM J. Optim. 19(2):674–699.CrossrefGoogle Scholar
  • McNeil AJ, Frey R, Embrechts P (2015) Quantitative Risk Management: Concepts, Techniques and Tools (Princeton University Press, Princeton, NJ).Google Scholar
  • Musmeci N, Battiston S, Caldarelli G, Puliga M, Gabrielli A (2013) Bootstrapping topological properties and systemic risk of complex networks using the fitness model. J. Statist. Phys. 151:720–734.CrossrefGoogle Scholar
  • Pagnoncelli BK, Ahmed S, Shapiro A (2009) Sample average approximation method for chance constrained programming: Theory and applications. J. Optim. Theory Appl. 142(2):399–416.CrossrefGoogle Scholar
  • Rockafellar RT, Uryasev S (2000) Optimization of conditional Value-at-Risk. J. Risk 2(3):21–41.CrossrefGoogle Scholar
  • Rogers LCG, Veraart LAM (2013) Failure and rescue in an interbank network. Management Sci. 59(4):882–898.LinkGoogle Scholar
  • Roukny T, Battiston S, Stiglitz JE (2018) Interconnectedness as a source of uncertainty in systemic risk. J. Financial Stability 35:93–106.CrossrefGoogle Scholar
  • Soyster AL (1976) Convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 21(5):1154–1157.LinkGoogle Scholar
  • Squartini T, Caldarelli G, Cimini G, Gabrielli A, Garlaschelli D (2018) Reconstruction methods for networks: The case of economic and financial systems. Phys. Rep. 757:1–47.CrossrefGoogle Scholar
  • Tasca P, Mavrodiev P, Schweitzer F (2014) Quantifying the impact of leveraging and diversification on systemic risk. J. Financial Stability 15:43–52.CrossrefGoogle Scholar
  • Upper C, Worms A (2004) Estimating bilateral exposures in the German interbank market: Is there a danger of contagion? Eur. Econom. Rev. 48(4):827–849.CrossrefGoogle Scholar
  • Veraart LAM (2020) Distress and default contagion in financial networks. Math. Finance 30:705–737.CrossrefGoogle Scholar
  • Yuan Y, Li Z, Huang B (2017) Robust optimization approximation for joint chance constrained optimization problem. J. Global Optim. 67(4):805–827.CrossrefGoogle Scholar
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