Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-gvh9x Total loading time: 0 Render date: 2024-07-17T11:57:04.010Z Has data issue: false hasContentIssue false

20 - Counterparty Contagion in Context: Contributions to Systemic Risk

from PART VI - COUNTERPARTY RISK AND SYSTEMIC RISK

Published online by Cambridge University Press:  05 June 2013

Jeremy Staum
Affiliation:
Northwestern University
Jean-Pierre Fouque
Affiliation:
University of California, Santa Barbara
Joseph A. Langsam
Affiliation:
University of Maryland, College Park
Get access

Summary

Abstract This chapter surveys models of counterparty contagion and their application in systemic risk management, emphasizing the network of counterparty relationships. It addresses how counterparty contagion contributes to systemic risk in combination with other sources of risk, and how models of counterparty contagion can be used to attribute systemic risk to participants in the financial system. The article discusses challenges and possible progress to be made in modeling the counterparty network and the dynamics of the financial system.

Introduction

This survey attempts to present a unified view of a mushrooming literature on counterparty contagion and its significance for systemic risk. This literature is so broad as to include mathematical treatments of random graphs, interacting particle systems, and Markov processes, but also financial theorizing about such topics as balance sheet constraints and haircuts in collateralized lending, and also empirical studies of data provided by banking regulators. Contagion is distinguished from correlation between firms that does not feature a causal link; counterparty contagion as mediated by various kinds of bilateral deals is distinguished from other forms of contagion that are intermediated by markets (§20.2).

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acharya, V. V., Santos, J. A. C., Yorulmazer, T. (2010). Systemic risk and deposit insurance premiums. FRBNY Economic Policy Review, August 2010, 89-99.
Acharya, V. V., Skeie, D., (2011). A model of liquidity hoarding and term premia in interbank markets. Journal of Monetary Economics 58 436-447.CrossRefGoogle Scholar
Aikman, D., Alessandri, P., Eklund, B., Gai, P., Kapadia, S., Martin, E., Mora, N., Sterne, G., Willison, M., (2009). Funding liquidity risk in a quantitative model of systemic stability. Working paper 372, Bank of England.
Amini, H., Cont, R., Minca, A., (2010). Resilience to contagion in financial networks. ssrn.com/abstract=186599CrossRef
Amini, H., Cont, R., Minca, A., (2012). Stress-testing the resilience of financial networks. International Journal of Theoretical and Applied Finance 15 1-20.CrossRefGoogle Scholar
Angelini, P., Maresca, G., Russo, D. (1996). Systemic risk in the netting system. Journal of Banking and Finance 20 853-868.CrossRefGoogle Scholar
Arnsdorf, M., Halperin, I. (2008). BSLP: Markovian bivariate spread-loss model for portfolio credit derivatives. Journal of Computational Finance 12 77-100.CrossRefGoogle Scholar
Azizpour, S., Giesecke, K., Schwenkler, G. (2011). Exploring the sources of default clustering. Working paper, Stanford University.
Battiston, S., Delli Gatti, D., Gallegati, M., Greenwald, B. C., Stiglitz, J. E. (2007). Credit chains and bankruptcy propagation in production networks. Journal of Economic Dynamics and Control 31 2061-2084.CrossRefGoogle Scholar
Battiston, S., Delli Gatti, D., Gallegati, M., Greenwald, B. C., Stiglitz, J. E. (2009). Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk, NBER working paper 15611.
Bech, M. L., Atalay, E. (2010). The topology of the federal funds market. PhysicaA 389 5223-5246.Google Scholar
Boss, M., Elsinger, H., Summer, M., Thurner, S. (2004). Network topology of the interbank market. Quantitative Finance 4 677-684.CrossRefGoogle Scholar
Brunnermeier, M., Pedersen, L. H. (2009). Market liquidity and funding liquidity. Review of Financial Studies 22 (6) 2201–2238.CrossRefGoogle Scholar
Caballero, R. J., Krishnamurthy, A. (2008). Collective risk management in a flight to quality episode. Journal of Finance 63 (5) 2195–2230.CrossRefGoogle Scholar
Caccioli, F., Catanach, T. A., Farmer, J. D. (2011). Heterogeneity, correlations and financial contagion. Working paper, Santa Fe Institute.
Chen, C., Iyengar, G., Moallemi, C. C. (2011). An axiomatic approach to systemic risk. Working paper, Columbia Univesity. To appear in Managment Science.Google Scholar
Cifuentes, R., Ferrucci, G., Shin, H. S. (2005). Liquidity risk and contagion. Journal of the European Economic Association 3 (2–3) 556-566.CrossRefGoogle Scholar
Cont, R., Moussa, A., Bastos e Santos, E. (2010). Network structure and systemic risk in banking systems. ssrn.com/abstract=1733528
Cont, R., Wagalath, L. (2011). Running for the exit: distressed selling and endogenous correlation in financial markets. ssrn.com/abstract=1943582
Cvitanic, J., Ma, J., Zhang, J. (2012). Law of large numbers for self-exciting correlated defaults. Stochastic Processes and their Applications 122 (8) 2781–2810.CrossRefGoogle Scholar
Dai Pra, P., Ruggaldier, W., Sartori, E., Tolotti, M. (2009). Large portfolio losses: a dynamic contagion model. Annals of Applied Probability 19 347-394.CrossRefGoogle Scholar
Dai Pra, P., Tolotti, M. (2009). Heterogeneous credit portfolios and the dynamics of the aggregate losses. Stochastics Processes and their Applications 119 2913-2944.CrossRefGoogle Scholar
Davis, M., Lo, V. (2001). Infectious defaults. Quantitative Finance 4 (1) 382–387.Google Scholar
Davis, M. H. A. (2011). Contagion models in credit risk. In Oxford Handbook of Credit Derivatives, Lipton, A., Rennie, A. (eds). Oxford University Press.Google Scholar
Delli Gatti, D., Gallegati, M., Greenwald, B. C., Russo, A., Stiglitz, J. E. (2009). Business fluctuations and bankruptcy avalanches in an evolving network economy. Journal of Economic Interaction and Coordination 4 (2) 195–212.CrossRefGoogle Scholar
Diamond, D. W., Rajan, R. G. (2011). Fear of fire sales, illiquidity seeking, and credit freezes. Quarterly Journal of Economics 126 (2) 557–591.CrossRefGoogle Scholar
Ding, X., Giesecke, K., Tomecek, P. (2009). Time-changed birth processes and multi-name credit derivatives. Operations Research 57 (4) 990–1005.CrossRefGoogle Scholar
Drehmann, M., Tarashev, N. (2011). Measuring the systemic importance of interconnected banks. Working paper 342, Bank for International Settlements.
Duffie, D., Eckner, A., Horel, G., Saita, L. (2009). Frailty correlated default. Journal of Finance 64 (5) 2089–2123.CrossRefGoogle Scholar
Egloff, D., Leippold, M., Vanini, P. (2007). A simple model of credit contagion. Journal of Banking and Finance 31 2475-2492.CrossRefGoogle Scholar
Eisenberg, L., Noe, T. H. (2001). Systemic risk in financial systems. Management Science 47 (2) 236-249.CrossRefGoogle Scholar
Elsinger, H. (2007). Financial networks, cross holdings, and limited liability. ssrn.com/abstract=916763
Errais, E., Giesecke, K., Goldberg, L. (2010). Affine point processes and portfolio credit risk. SIAM Journal on Financial Mathematics 1 642-665.CrossRefGoogle Scholar
Frey, R., Backhaus, J. (2008). Pricing and hedging of portfolio credit derivatives with interacting default intensities. International Journal of Theoretical and Applied Finance 11 (6) 611-634.CrossRefGoogle Scholar
Gai, P., Haldane, A., Kapadia, S. (2011). Complexity, concentrationandcontagion. Journal of Monetary Economics 58 453-470.CrossRefGoogle Scholar
Gai, P., Kapadia, S. (2010). Contagion in financial networks. Proceedings of the Royal Society A 466 2401-2423.CrossRefGoogle Scholar
Gale, D., Yorulmazer, T. (2011). Liquidity hoarding. http://ssrn.com/abstract=1780570
Gallegati, M., Greenwald, B., Richiardi, M. G., Stiglitz, J. E. (2008). The asymmetric effect of diffusion processes: risk sharing and contagion. Global Economy Journal 8 (3), Article 2.CrossRefGoogle Scholar
Georg, C.-P. (2011). The effect of the interbank network structure on contagion and common shocks. Discussion Paper (Series 2: Banking and Financial Studies) 12/2011, Deutsche Bundesbank.
Giesecke, K. (2008). Portfolio credit risk: top down vs. bottom up approaches. In Frontiers in Quantitative Finance: Credit Risk and Volatility Modeling, Cont, R. (ed). Wiley.Google Scholar
Giesecke, K., Kim, B. (2011). Systemic risk: What defaults are telling us. Management Science 57 (8) 1387–1405.CrossRefGoogle Scholar
Giesecke, K., Kim, B., Zhu, S. (2011). Monte Carlo algorithms for default timing problems. Management Science 57 (12) 2115–2129.CrossRefGoogle Scholar
Giesecke, K., Spiliopoulos, K., Sowers, R. B. (2011a). Default clustering in large portfolios: typical events. Working paper, Stanford University. To appear in Annals of Applied Probability.Google Scholar
Giesecke, K., Spiliopoulos, K., Sowers, R. B., Sirignano, J. A. (2011b). Large portfolio asymptotics for loss from default. Working paper, Stanford University. To appear in Mathematical Finance.Google Scholar
Giesecke, K., Weber, S. (2004). Cyclical correlation, credit contagion, and portfolio losses. Journal of Banking and Finance 18 3009-3036.Google Scholar
Giesecke, K., Weber, S. (2006). Credit contagion and aggregate loss. Journal of Economic Dynamics and Control 30 741-761.CrossRefGoogle Scholar
Gleeson, J. P., Hurd, T. R., Melnik, S., Hackett, A. (2011). Systemic risk in banking networks without Monte Carlo simulation. In Advances in Network Analysis and its Applications, Kranakis, E. (ed.) Springer Verlag, New York.Google Scholar
Gorton, G, Merrick, A. (2012). Securitized banking and the run on repo. Journal of Financial Economics 104 (3) 425–451.CrossRefGoogle Scholar
Herbertsson, A., Rootzen, H. (2008). Pricing kth-to-default swaps under default contagion: the matrix analytic approach. Journal of Computational Finance 12 (1) 49–78.CrossRefGoogle Scholar
Hurd, T. R., Gleeson, J. P. (2011). A framework for analyzing contagion in banking networks. Working paper, McMaster University. Available from http://ssrn.com/abstract=1945748.
Iori, G., De Masi, G., Precup, O. V., Gabbi, G., Caldarelli, G. (2008). A network analysis of the Italian overnight money market. Journal of Economic Dynamics and Control 32 259-278.CrossRefGoogle Scholar
Iori, G., Jafarey, S., Padilla, F. G. (2006). Systemic risk on the interbank market. Journal of Economic Behavior and Organization 61 525-542.CrossRefGoogle Scholar
Jarrow, R. A., Yu, F. (2001). Counterparty risk and the pricing of defaultable securities. Journal of Finance 56 (5) 1765–1799.CrossRefGoogle Scholar
Jorion, P., Zhang, G. (2009). Credit contagion from counterparty risk. Journal of Finance 64 (5) 2053-2087.CrossRefGoogle Scholar
Kaizoji, T. (2000). Speculative bubbles and crashes in stock markets: an interacting-agent model of speculative activity. PhysicaA 287 (3-4), 493-506.Google Scholar
Kaizoji, T. (2001). A model of international financial crises. PhysicaA 299 (1–2), 279-293.Google Scholar
Kraft, H., Steffensen, M. (2007). Bankruptcy, counterparty risk, and contagion. Review of Finance 11 209-252.CrossRefGoogle Scholar
Krishnamurthy, A. (2010a). Amplification mechanisms in liquidity crises. American Economic Journal: Macroeconomics 2 (3) 1–30.Google Scholar
Krishnamurthy, A. (2010b). How debt markets have malfunctioned in the crisis. Journal of Economic Perspectives 24 (1) 3–28.CrossRefGoogle Scholar
Ladley, D. (2011). Contagion and risk-sharing on the inter-bank market. Working paper 11/10, University of Leicester.
Liggett, T. M. (1985). Interacting Particle Systems. Springer-Verlag.CrossRefGoogle Scholar
Liu, M., Staum, J. (2011). Systemic risk components in a network model of contagion. http://papers.ssrn.com/abstract=1726107
Lopatin, A., Misirpashaev, T. (2008). Two-dimensional Markovian model for dynamics of aggregate credit loss. Advances in Econometrics 22 243-274.Google Scholar
May, R. M., Arinaminpathy, N. (2010). Systemic risk: the dynamics of model banking systems. Journal of the Royal Society Interface 7 823-838.CrossRefGoogle ScholarPubMed
Mistrulli, P. E. 2011. Assessing financial contagion in the interbank market: maximum entropy versus observed interbank lending patterns. Journal of Banking and Finance 35 1114-1127.CrossRefGoogle Scholar
Müller, J. (2006). Interbank credit lines as a channel of contagion. Journal of Financial Services Research 29 (1) 37–60.CrossRefGoogle Scholar
Nelson, B. L. (2002). Stochastic Models: Analysis and Simulation. Dover.Google Scholar
Nier, E., Yang, J., Yorulmazer, T., Alentorn, A. (2007). Network models and financial stability. Journal of Economic Dynamics and Control 31 2033-2060.CrossRefGoogle Scholar
Pedersen, L. H. (2009). When everyone runs for the exit. International Journal ofCentral Banking 5 (4) 177–199.Google Scholar
Pokutta, S., Schmaltz, C. (2011). A network model of bank lending capacity. http://ssrn.com/abstract=1773964
Rogers, L., Veraart, L. (2011). Failure and rescue in an interbank network. http://ssrn.com/abstract=1932911
Samanidou, E., Zschischang, E., Stauffer, D., Lux, T. (2007). Agent-based models of financial markets. Reports on Progress in Physics 70 409-450.CrossRefGoogle Scholar
Soramäki, K., Bech, M. L., Arnold, J., Glass, R. J., Beyeler, W. E. (2007). The topology of interbank payment flows. PhysicaA 379 317-333.Google Scholar
Staum, J. (2011). Systemic risk components and deposit insurance premia. Quantitative Finance (forthcoming). http://ssrn.com/abstract=1726101
Sun, Y., Mendoza-Arriaga, R., Linetsky, V. (2011). Marshall-Olkinmultivariate exponential distributions, multidimensional subordinators, efficient simulation, and applications to credit risk, working paper, Northwestern University.
Tarashev, N., Borio, C., Tsatsaronis, K. (2010). Attributing systemic risk to individual institutions. Working paper 308, Bank of International Settlements.
Upper, C. (2011). Simulation methods to assess the danger of contagion in interbank markets. Journal of Financial Stability 7 111-125.CrossRefGoogle Scholar
Watts, D. J. (2002). A simple model of global cascades on random networks. Proceedings of the National Academy of Sciences of the United States of America 99 (9) 57665771.CrossRefGoogle ScholarPubMed
Yu, F. (2007). Correlated defaults in intensity-based models. Mathematical Finance 17 (2) 155–173.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×