Systemic Risk in Financial Networks: A Survey

Literature Cited

1. Acemoglu D, Carvalho VM, Ozdaglar A, Tahbaz-Salehi A. 2012.. The network origins of aggregate fluctuations. . Econometrica 80::1977–2016
   [Google Scholar]
2. Acemoglu D, Ozdaglar A, Siderius J, Tahbaz-Salehi A. 2020.. Systemic credit freezes in financial lending networks. NBER Work. Pap. 27149
   [Google Scholar]
3. Acemoglu D, Ozdaglar A, Tahbaz-Salehi A. 2015a.. Systemic risk and stability in financial networks. . Am. Econ. Rev. 105::564–608
   [Google Scholar]
4. Acemoglu D, Ozdaglar A, Tahbaz-Salehi A. 2015b.. Systemic risk in endogenous financial networks. Work. Pap., Mass. Inst. Technol., Cambridge:
   [Google Scholar]
5. Acharya VV, Bharath ST, Srinivasan A. 2007.. Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries. . J. Financ. Econ. 85::787–821
   [Google Scholar]
6. Acharya VV, Yorulmazer T. 2007.. Too many to fail—an analysis of time-inconsistency in bank closure policies. . J. Financ. Intermed. 16::1–31
   [Google Scholar]
7. Acharya VV, Yorulmazer T. 2008.. Information contagion and bank herding. . J. Money Credit Bank. 40::215–31
   [Google Scholar]
8. Admati AR, Hellwig MF. 2013.. The Bankers' New Clothes: What's Wrong with Banking and What to Do About It. Princeton, NJ:: Princeton Univ. Press
   [Google Scholar]
9. Aikman D, Alessandri P, Eklund B, Gai P, Kapadia S, et al. 2009.. Funding liquidity risk in a quantitative model of systemic stability. . In Financial Stability, Monetary Policy, and Central Banking, Vol. 15, ed. R Alfaro , pp. 371–410. Santiago:: Cent. Bank Chile
   [Google Scholar]
10. Aikman D, Bridges J, Kashyap A, Siegert C. 2019.. Would macroprudential regulation have prevented the last crisis?. J. Econ. Perspect. 33::107–30
    [Google Scholar]
11. Allen F, Babus A, Carletti E. 2012.. Asset commonality, debt maturity and systemic risk. . J. Financ. Econ. 104::519–34
    [Google Scholar]
12. Allen F, Gale DM. 2000.. Financial contagion. . J. Political Econ. 108::1–33
    [Google Scholar]
13. Allen F, Gale DM. 2007.. An introduction to financial crises. Work. Pap., Wharton Financ. Inst. Cent., Univ. Pa., Philadelphia:
    [Google Scholar]
14. Allen F, Morris S, Shin HS. 2006.. Beauty contests and iterated expectations in asset markets. . Rev. Financ. Stud. 19::719–52
    [Google Scholar]
15. Allouch N, Jalloul M. 2018.. Strategic default in financial networks. Work. Pap. 852 , Queen Mary Univ. London, London:
    [Google Scholar]
16. Alvarez F, Barlevy G. 2015.. Mandatory disclosure and financial contagion. NBER Work. Pap. 21328
    [Google Scholar]
17. Amini H, Cont R, Minca A. 2016.. Resilience to contagion in financial networks. . Math. Finance 26::329–65
    [Google Scholar]
18. Anderson H, Erol S, Ordoñez G. 2020.. Interbank networks in the shadows of the Federal Reserve Act. Work. Pap. 2020-07 , Fed. Depos. Insur. Corp. Cent. Financ. Res., Washington, DC:
    [Google Scholar]
19. Anderson H, Paddrik M, Wang JJ. 2019.. Bank networks and systemic risk: evidence from the National Banking Acts. . Am. Econ. Rev. 109::3125–61
    [Google Scholar]
20. Atkisson C, Górski PJ, Jackson MO, Hołyst JA, D'Souza RM. 2020.. Why understanding multiplex social network structuring processes will help us better understand the evolution of human behavior. . Evol. Anthropol. 29::102–7
    [Google Scholar]
21. Babus A. 2016.. The formation of financial networks. . RAND J. Econ. 47::239–72
    [Google Scholar]
22. Babus A, Hu TW. 2017.. Endogenous intermediation in over-the-counter markets. . J. Financ. Econ. 125::200–15
    [Google Scholar]
23. Banerjee AV. 1992.. A simple model of herd behavior. . Q. J. Econ. 107::797–817
    [Google Scholar]
24. Bardoscia M, Battiston S, Caccioli F, Caldarelli G. 2017.. Pathways towards instability in financial networks. . Nat. Commun. 8::14416
    [Google Scholar]
25. Bardoscia M, Bianconi G, Ferrara G. 2018.. Multiplex network analysis of the UK OTC derivatives market. Staff Work. Pap. 726 , Bank Engl., London:
    [Google Scholar]
26. Barrot JN, Sauvagnat J. 2016.. Input specificity and the propagation of idiosyncratic shocks in production networks. . Q. J. Econ. 131::1543–92
    [Google Scholar]
27. book. 2015.. Making supervisory stress tests more macroprudential: considering liquidity and solvency interactions and systemic risk. Work. Pap. 29 , Basel Comm. Bank. Superv., Basel, Switz:
    [Google Scholar]
28. Battiston S, Gatti DD, Gallegati M, Greenwald B, Stiglitz JE. 2012.. Liaisons dangereuses: increasing connectivity, risk sharing, and systemic risk. . J. Econ. Dyn. Control 36::1121–41
    [Google Scholar]
29. Bebchuk LA, Goldstein I. 2011.. Self-fulfilling credit market freezes. . Rev. Financ. Stud. 24::3519–55
    [Google Scholar]
30. Bech ML, Atalay E. 2010.. The topology of the federal funds market. . Phys. Stat. Mech. Appl. 389::5223–46
    [Google Scholar]
31. Belhaj M, Bourlès R, Deroïan F. 2020.. Prudential regulation in financial networks. Work. Pap. 30 , Aix-Marseille Sch. Econ., Marseille, Fr:
    [Google Scholar]
32. Bernard B, Capponi A, Stiglitz JE. 2017.. Bail-ins and bail-outs: incentives, connectivity, and systemic stability. NBER Work. Pap. 23747
    [Google Scholar]
33. Bikhchandani S, Hirshleifer D, Welch I. 1992.. A theory of fads, fashion, custom, and cultural change as informational cascades. . J. Political Econ. 100::992–1026
    [Google Scholar]
34. Billio M, Getmansky M, Lo AW, Pelizzon L. 2012.. Econometric measures of connectedness and systemic risk in the finance and insurance sectors. . J. Financ. Econ. 104::535–59
    [Google Scholar]
35. Blasques F, Bräuning F, Van Lelyveld I. 2018.. A dynamic network model of the unsecured interbank lending market. . J. Econ. Dyn. Control 90::310–42
    [Google Scholar]
36. Branch B. 2002.. The costs of bankruptcy: a review. . Int. Rev. Financ. Anal. 11::39–57
    [Google Scholar]
37. Bruche M, Gonzalez-Aguado C. 2010.. Recovery rates, default probabilities, and the credit cycle. . J. Bank. Finance 34::754–64
    [Google Scholar]
38. Brunnermeier MK. 2009.. Deciphering the liquidity and credit crunch 2007–2008. . J. Econ. Perspect. 23::77–100
    [Google Scholar]
39. Brusco S, Castiglionesi F. 2007.. Liquidity coinsurance, moral hazard, and financial contagion. . J. Finance 62::2275–302
    [Google Scholar]
40. Brusco S, Jackson MO. 1999.. The optimal design of a market. . J. Econ. Theory 88::1–39
    [Google Scholar]
41. Burkholz R, Leduc MV, Garas A, Schweitzer F. 2016.. Systemic risk in multiplex networks with asymmetric coupling and threshold feedback. . Phys. D 323::64–72
    [Google Scholar]
42. Caballero RJ, Simsek A. 2013.. Fire sales in a model of complexity. . J. Finance 68::2549–87
    [Google Scholar]
43. Cabrales A, Gottardi P, Vega-Redondo F. 2017.. Risk sharing and contagion in networks. . Rev. Financ. Stud. 30::3086–127
    [Google Scholar]
44. Callaway DS, Newman ME, Strogatz SH, Watts DJ. 2000.. Network robustness and fragility: percolation on random graphs. . Phys. Rev. Lett. 85::5468
    [Google Scholar]
45. Calomiris CW, Jaremski M. 2019.. Stealing deposits: deposit insurance, risk-taking, and the removal of market discipline in early 20th-century banks. . J. Finance 74::711–54
    [Google Scholar]
46. Capponi A, Chen PC. 2015.. Systemic risk mitigation in financial networks. . J. Econ. Dyn. Control 58::152–66
    [Google Scholar]
47. Capponi A, Cheng WA. 2018.. Clearinghouse margin requirements. . Oper. Res. 66::1542–58
    [Google Scholar]
48. Capponi A, Corell FC, Stiglitz JE. 2020.. Optimal bailouts and the doom loop with a financial network. NBER Work. Pap. 27074
    [Google Scholar]
49. Capponi A, Larsson M. 2015.. Price contagion through balance sheet linkages. . Rev. Asset Pricing Stud. 5::227–53
    [Google Scholar]
50. Centola D. 2018.. How Behavior Spreads: The Science of Complex Contagions. Princeton, NJ:: Princeton Univ. Press
    [Google Scholar]
51. Chincarini LB. 2012.. The Crisis of Crowding: Quant Copycats, Ugly Models, and the New Crash Normal. New York:: Wiley
    [Google Scholar]
52. Cifuentes R, Ferrucci G, Shin HS. 2005.. Liquidity risk and contagion. . J. Eur. Econ. Assoc. 3::556–66
    [Google Scholar]
53. Cohen-Cole E, Patacchini E, Zenou Y. 2015.. Static and dynamic networks in interbank markets. . Netw. Sci. 3::98–123
    [Google Scholar]
54. Covi G, Gorpe MZ, Kok C. 2019.. Comap: mapping contagion in the euro area banking sector. Work. Pap. 2224 , Eur. Cent. Bank, Frankfurt, Ger:
    [Google Scholar]
55. Craig B, Von Peter G. 2014.. Interbank tiering and money center banks. . J. Financ. Int. 23::322–47
    [Google Scholar]
56. Csóka P, Herings PJJ. 2018.. Decentralized clearing in financial networks. . Manag. Sci. 64:(10):4681–99
    [Google Scholar]
57. Dam L, Koetter M. 2012.. Bank bailouts and moral hazard: evidence from Germany. . Rev. Financ. Stud. 25::2343–80
    [Google Scholar]
58. Davydenko SA, Strebulaev IA, Zhao X. 2012.. A market-based study of the cost of default. . Rev. Financ. Stud. 25::2959–99
    [Google Scholar]
59. Demange G. 2016.. Contagion in financial networks: a threat index. . Manag. Sci. 64::955–70
    [Google Scholar]
60. Demsetz H. 1968.. The cost of transacting. . Q. J. Econ. 82::33–53
    [Google Scholar]
61. D'Errico M, Roukny T. 2019.. Compressing over-the-counter markets. . arXiv:1705.07155 [q-fin.GN]
62. Diamond DW. 1991.. Monitoring and reputation: the choice between bank loans and directly placed debt. . J. Political Econ. 99::689–721
    [Google Scholar]
63. Diamond DW, Dybvig PH. 1983.. Bank runs, deposit insurance, and liquidity. . J. Political Econ. 91::401–19
    [Google Scholar]
64. Diamond DW, Rajan RG. 2011.. Fear of fire sales, illiquidity seeking, and credit freezes. . Q. J. Econ. 126::557–91
    [Google Scholar]
65. Diebold FX, Yılmaz K. 2014.. On the network topology of variance decompositions: measuring the connectedness of financial firms. . J. Econom. 182::119–34
    [Google Scholar]
66. Duarte F, Eisenbach TM. 2018.. Fire-sale spillovers and systemic risk. Staff Rep., Fed. Reserve Bank New York, New York:
    [Google Scholar]
67. Duarte F, Jones C. 2017.. Empirical network contagion for U.S. financial institutions. Staff Rep., Fed. Reserve Bank New York, New York:
    [Google Scholar]
68. Duffie D. 2019.. Prone to fail: the pre-crisis financial system. . J. Econ. Perspect. 33::81–106
    [Google Scholar]
69. Duffie D, Eckner A, Horel G, Saita L. 2009.. Frailty correlated default. . J. Finance 64::2089–123
    [Google Scholar]
70. Duffie D, Wang C. 2016.. Efficient contracting in network financial markets. Work. Pap., Stanford Univ., Stanford, CA:
    [Google Scholar]
71. Duffie D, Zhu H. 2011.. Does a central clearing counterparty reduce counterparty risk?. Rev. Asset Pricing Stud. 1::74–95
    [Google Scholar]
72. Eisenberg L, Noe TH. 2001.. Systemic risk in financial systems. . Manag. Sci. 47::236–49
    [Google Scholar]
73. Elliott M, Georg CP, Hazell J. 2018.. Systemic risk-shifting in financial networks. Work. Pap., Univ. Cambridge, Cambridge, UK:
    [Google Scholar]
74. Elliott M, Golub B, Jackson MO. 2014.. Financial networks and contagion. . Am. Econ. Rev. 104::3115–53
    [Google Scholar]
75. Engle RF, Ruan T. 2019.. Measuring the probability of a financial crisis. . PNAS 116::18341–46
    [Google Scholar]
76. Erol S. 2019.. Network hazard and bailouts. Work. Pap., Carnegie Mellon Univ., Pittsburgh, PA:
    [Google Scholar]
77. Erol S, Vohra R. 2018.. Network formation and systemic risk. Work. Pap., Univ. Pa., Philadelphia:
    [Google Scholar]
78. Etessami K, Papadimitriou C, Rubinstein A, Yannakakis M. 2019.. Tarski's theorem, supermodular games, and the complexity of equilibria. . arXiv:1909.03210 [cs.CC]
79. Farboodi M. 2017.. Intermediation and voluntary exposure to counterparty risk. Work. Pap., Princeton Univ., Princeton, NJ:
    [Google Scholar]
80. Farmer JD, Kleinnijenhuis AM, Nahai-Williamson P, Wetzer T. 2020.. Foundations of system-wide financial stress testing with heterogeneous institutions. Staff Work. Pap. 861 , Bank Engl., London:
    [Google Scholar]
81. Ferrara G, Langfield S, Liu Z, Ota T. 2017.. Systemic illiquidity in the interbank network. Staff Work. Pap. 586 , Bank Engl., London:
    [Google Scholar]
82. book. 2011.. The Financial Crisis Inquiry Report. Washington, DC:: US Gov. Print. Off
    [Google Scholar]
83. Fleming MJ, Sarkar A. 2014.. The failure resolution of Lehman Brothers. Econ. Policy Rev., Fed. Reserve Bank New York, New York:
    [Google Scholar]
84. Fostel A, Geanakoplos J. 2008.. Leverage cycles and the anxious economy. . Am. Econ. Rev. 98::1211–44
    [Google Scholar]
85. Fostel A, Geanakoplos J. 2014.. Endogenous collateral constraints and the leverage cycle. . Annu. Rev. Econ. 6::771–99
    [Google Scholar]
86. Fricke D, Wilke H. 2020.. Connected funds. Dtsch. Bundesbank Discuss. Pap. 48 , Frankfurt, Ger:
    [Google Scholar]
87. Gai P, Haldane A, Kapadia S. 2011.. Complexity, concentration and contagion. . J. Monet. Econ. 58::453–70
    [Google Scholar]
88. Gai P, Kapadia S. 2010.. Contagion in financial networks. . Proc. R. Soc. A 466::2401–23
    [Google Scholar]
89. Gale DM, Kariv S. 2007.. Financial networks. . Am. Econ. Rev. 97::99–103
    [Google Scholar]
90. Galeotti A, Ghiglino C. 2021.. Cross-ownership and portfolio choice. . J. Econ. Theory 192::105194
    [Google Scholar]
91. Garas A. 2016.. Interconnected Networks. New York:: Springer
    [Google Scholar]
92. Gehrig T. 1993.. Intermediation in search markets. . J. Econ. Manag. Strategy 2::97–120
    [Google Scholar]
93. Glasserman P, Young HP. 2015.. How likely is contagion in financial networks?. J. Bank. Finance 50::383–99
    [Google Scholar]
94. Glasserman P, Young HP. 2016.. Contagion in financial networks. . J. Econ. Lit. 54:(3):779–831
    [Google Scholar]
95. Glode V, Opp C. 2016.. Asymmetric information and intermediation chains. . Am. Econ. Rev. 106::2699–721
    [Google Scholar]
96. Glode V, Opp CC, Zhang X. 2019.. On the efficiency of long intermediation chains. . J. Financ. Int. 38::11–18
    [Google Scholar]
97. Godlewski CJ, Sanditov B. 2018.. Financial institutions network and the certification value of bank loans. . Financ. Manag. 47::253–83
    [Google Scholar]
98. Godlewski CJ, Sanditov B, Burger-Helmchen T. 2012.. Bank lending networks, experience, reputation, and borrowing costs: empirical evidence from the French syndicated lending market. . J. Bus. Finance Account. 39::113–40
    [Google Scholar]
99. Gofman M. 2017.. Efficiency and stability of a financial architecture with too-interconnected-to-fail institutions. . J. Financ. Econ. 124::113–46
    [Google Scholar]
100. Greenwood R, Landier A, Thesmar D. 2015.. Vulnerable banks. . J. Financ. Econ. 115::471–85
     [Google Scholar]
101. Gualdi S, Cimini G, Primicerio K, Di Clemente R, Challet D. 2016.. Statistically validated network of portfolio overlaps and systemic risk. . Sci. Rep. 6::39467
     [Google Scholar]
102. Haldane AG. 2009.. Rethinking the financial network. Speech delivered at the Financial Student Association , Amsterdam, The Netherlands:, April 28
     [Google Scholar]
103. Hastings M, Hemenway Falk B, Tsoukalas G. 2020.. Privacy-preserving network analytics. Work. Pap., Univ. Pa., Philadelphia:
     [Google Scholar]
104. Hauton G, Héam JC. 2016.. How to measure interconnectedness between banks, insurers and financial conglomerates. . Stat. Risk Model. 33::95–116
     [Google Scholar]
105. Heipertz J, Ouazad A, Rancière R. 2019.. The transmission of shocks in endogenous financial networks: a structural approach. NBER Work. Pap. 26049
     [Google Scholar]
106. Herskovic B. 2018.. Networks in production: asset pricing implications. . J. Finance 73::1785–818
     [Google Scholar]
107. Hirshleifer D, Teoh SH. 2009.. Systemic risk, coordination failures, and preparedness externalities: applications to tax and accounting policy. . J. Financ. Econ. Policy 1::128–42
     [Google Scholar]
108. Holmstrom B, Tirole J. 1997.. Financial intermediation, loanable funds, and the real sector. . Q. J. Econ. 112::663–91
     [Google Scholar]
109. Ibragimov R, Jaffee D, Walden J. 2011.. Diversification disasters. . J. Financ. Econ. 99::333–48
     [Google Scholar]
110. Infante S, Vardoulakis A. 2018.. Collateral runs. Finance Econ. Discuss. Ser. 2018-022 , Board Gov. Fed. Reserve Syst., Washington, DC:
     [Google Scholar]
111. Jackson MO. 2008.. Social and Economic Networks. Princeton, NJ:: Princeton Univ. Press
     [Google Scholar]
112. Jackson MO. 2019.. The Human Network: How Your Social Position Determines Your Power, Beliefs and Behaviors. New York:: Pantheon
     [Google Scholar]
113. Jackson MO, Nei S. 2015.. Networks of military alliances, wars, and international trade. . PNAS 112::15277–84
     [Google Scholar]
114. Jackson MO, Pernoud A. 2019.. Distorted investment incentives, regulation, and equilibrium multiplicity in a model of financial networks. Work. Pap., Stanford Univ., Stanford, CA:
     [Google Scholar]
115. Jackson MO, Pernoud A. 2020.. Credit freezes, equilibrium multiplicity, and optimal bailouts in financial networks. Work. Pap., Stanford Univ., Stanford, CA:
     [Google Scholar]
116. Jackson MO, Storms EC. 2017.. Behavioral communities and the atomic structure of networks. . arXiv:1710.04656 [physics.soc-ph]
117. Jackson MO, Wolinsky A. 1996.. A strategic model of social and economic networks. . J. Econ. Theory 71::44–74
     [Google Scholar]
118. James C. 1991.. The losses realized in bank failures. . J. Finance 46::1223–42
     [Google Scholar]
119. Jensen MC, Meckling WH. 1976.. Theory of the firm: managerial behavior, agency costs and ownership structure. . J. Financ. Econ. 3::305–60
     [Google Scholar]
120. Kanik Z. 2019.. From Lombard Street to Wall Street: systemic risk, rescues, and stability in financial networks. Work. Pap., Mass. Inst. Technol., Cambridge:
     [Google Scholar]
121. Karamysheva M, Seregina E. 2020.. Prudential policies and systemic risk: the role of interconnections. Work. Pap., HSE Univ., Moscow:
     [Google Scholar]
122. Keynes JM. 1936.. The General Theory of Employment, Interest, and Money. London:: Macmillan
     [Google Scholar]
123. King MA, Wadhwani S. 1990.. Transmission of volatility between stock markets. . Rev. Financ. Stud. 3::5–33
     [Google Scholar]
124. Kivela M, Arenas A, Gleeson JP, Moreno Y, Porter MA. 2014.. Multilayer networks. . arXiv:1309.7233v4 [physics.soc-ph]
125. Kiyotaki N, Moore J. 1997.. Credit cycles. . J. Political Econ. 105::211–48
     [Google Scholar]
126. Klasing MJ, Milionis P. 2014.. Quantifying the evolution of world trade, 1870–1949. . J. Int. Econ. 92::185–97
     [Google Scholar]
127. Krishnamurthy A. 2010.. Amplification mechanisms in liquidity crises. . Am. Econ. J. Macroecon. 2::1–30
     [Google Scholar]
128. Leitner Y. 2005.. Financial networks: contagion, commitment, and private sector bailouts. . J. Finance 60::2925–53
     [Google Scholar]
129. Lucas D. 2019.. Measuring the cost of bailouts. . Annu. Rev. Econ. 11::85–108
     [Google Scholar]
130. Lucas RE Jr. 2013.. Glass-Steagall: a requiem. . Am. Econ. Rev. 103::43–47
     [Google Scholar]
131. Lund S, Härle P. 2017.. Global finance resets. . Finance Dev. 54::42–44
     [Google Scholar]
132. Malherbe F. 2014.. Self-fulfilling liquidity dry-ups. . J. Finance 69::947–70
     [Google Scholar]
133. Martínez J-F, Peiris MU, Tsomocos DP. 2020.. Macroprudential policy analysis in an estimated DSGE model with a heterogeneous banking system: an application to Chile. Work. Pap., HSE Univ., Moscow:
     [Google Scholar]
134. Morris S, Shin HS. 1998.. Unique equilibrium in a model of self-fulfilling currency attacks. . Am. Econ. Rev. 88::587–97
     [Google Scholar]
135. Morris S, Shin HS. 2002.. Social value of public information. . Am. Econ. Rev. 92::1521–34
     [Google Scholar]
136. Nanumyan V, Garas A, Schweitzer F. 2015.. The network of counterparty risk: analysing correlations in OTC derivatives. . PLOS ONE 10::e0136638
     [Google Scholar]
137. O'Hara M. 1997.. Market Microstructure Theory. Oxford, UK:: Blackwell
     [Google Scholar]
138. Rajan RG. 1992.. Insiders and outsiders: the choice between informed and arm's-length debt. . J. Finance 47::1367–400
     [Google Scholar]
139. Ramírez C. 2017.. Firm networks and asset returns. Finance Econ. Discuss. Ser. 2017-014 , Board Gov. Fed. Reserve Syst., Washington, DC:
     [Google Scholar]
140. Ramírez C. 2019.. Regulating financial networks under uncertainty. Finance Econ. Discuss. Ser. 2019-056 , Board Gov. Fed. Reserve Syst., Washington, DC:
     [Google Scholar]
141. Reinhart C, Rogoff K. 2009.. This Time Is Different. Princeton, NJ:: Princeton Univ. Press
     [Google Scholar]
142. Rochet JC, Tirole J. 1996.. Interbank lending and systemic risk. . J. Money Credit Bank. 28:(4):733–62
     [Google Scholar]
143. Rogers LC, Veraart LA. 2013.. Failure and rescue in an interbank network. . Manag. Sci. 59::882–98
     [Google Scholar]
144. Roukny T, Battiston S, Stiglitz JE. 2018.. Interconnectedness as a source of uncertainty in systemic risk. . J. Financ. Stab. 35::93–106
     [Google Scholar]
145. Scharfstein DS, Stein JC. 1990.. Herd behavior and investment. . Am. Econ. Rev. 80::465–79
     [Google Scholar]
146. Shell K. 1989.. Sunspot equilibrium. . In General Equilibrium, ed. J Eatwell, M Milgate, P Newman , pp. 274–80. New York:: Springer
     [Google Scholar]
147. Shiller RJ. 2015.. Irrational Exuberance. Princeton, NJ:: Princeton Univ. Press, 3rd ed.
     [Google Scholar]
148. Shu C. 2019.. Endogenous risk-exposure and systemic instability. USC-INET Res. Pap. 17-35 , Univ. South. Calif., Los Angeles:
     [Google Scholar]
149. Siebenbrunner C. 2021.. Quantifying the importance of different contagion channels as sources of systemic risk. . J. Econ. Interact. Coord. 16::103–31
     [Google Scholar]
150. Silber WL. 1983.. The process of financial innovation. . Am. Econ. Rev. 73::89–95
     [Google Scholar]
151. Soramäki K, Bech ML, Arnold J, Glass RJ, Beyeler WE. 2007.. The topology of interbank payment flows. . Phys. A 379::317–33
     [Google Scholar]
152. Spulber DF. 1996.. Market microstructure and intermediation. . J. Econ. Perspect. 10::135–52
     [Google Scholar]
153. Stellian R, Penagos GI, Danna-Buitrago JP. 2021.. Firms in financial distress: evidence from inter-firm payment networks with volatility driven by “animal spirits. J. Econ. Interact. Coord. 16::59–101
     [Google Scholar]
154. Summer M. 2013.. Financial contagion and network analysis. . Annu. Rev. Financ. Econ. 5::277–97
     [Google Scholar]
155. Tarullo DK. 2019.. Financial regulation: still unsettled a decade after the crisis. . J. Econ. Perspect. 33::61–80
     [Google Scholar]
156. Teteryatnikova M. 2014.. Systemic risk in banking networks: advantages of tiered banking systems. . J. Econ. Dyn. Control 47::186–210
     [Google Scholar]
157. Upper C, Worms A. 2004.. Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?. Eur. Econ. Rev. 48::827–49
     [Google Scholar]
158. Wagner W. 2010.. Diversification at financial institutions and systemic crises. . J. Financ. Intermed. 19::373–86
     [Google Scholar]
159. Wang C. 2017.. Core-periphery trading networks. PhD Thesis, Stanford Univ., Stanford, CA:
     [Google Scholar]
160. Wang JJ, Capponi A, Zhang H. 2020.. A theory of collateral requirements for central counterparties. Work. Pap., Ariz. State Univ., Tempe
     [Google Scholar]
161. Yellen J. 2013.. Interconnectedness and systemic risk: lessons from the financial crisis and policy implications: a speech at the American Economic Association/American Finance Association Joint Luncheon, San Diego, California, January 4, 2013. Speech 631 , Board Gov. Fed. Reserve Syst., Washington, DC:
     [Google Scholar]