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Systemic Contingent Claims Analysis; Estimating Market-Implied Systemic Risk

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  • Andreas A. Jobst
  • Dale F. Gray

Abstract

The recent global financial crisis has forced a re-examination of risk transmission in the financial sector and how it affects financial stability. Current macroprudential policy and surveillance (MPS) efforts are aimed establishing a regulatory framework that helps mitigate the risk from systemic linkages with a view towards enhancing the resilience of the financial sector. This paper presents a forward-looking framework ("Systemic CCA") to measure systemic solvency risk based on market-implied expected losses of financial institutions with practical applications for the financial sector risk management and the system-wide capital assessment in top-down stress testing. The suggested approach uses advanced contingent claims analysis (CCA) to generate aggregate estimates of the joint default risk of multiple institutions as a conditional tail expectation using multivariate extreme value theory (EVT). In addition, the framework also helps quantify the individual contributions to systemic risk and contingent liabilities of the financial sector during times of stress.

Suggested Citation

  • Andreas A. Jobst & Dale F. Gray, 2013. "Systemic Contingent Claims Analysis; Estimating Market-Implied Systemic Risk," IMF Working Papers 13/54, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:13/54
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    Cited by:

    1. Beck, Günter Wilfried & Kotz, Hans-Helmut, 2016. "Euro area shadow banking activities in a low-interest-rate environment: A flow-of-funds perspective," SAFE White Paper Series 37, Goethe University Frankfurt, Research Center SAFE - Sustainable Architecture for Finance in Europe.
    2. Bluhm, Marcel & Krahnen, Jan Pieter, 2014. "Systemic risk in an interconnected banking system with endogenous asset markets," Journal of Financial Stability, Elsevier, vol. 13(C), pages 75-94.
    3. Irina Balteanu & Aitor Erce, 2017. "Linking Bank Crises and Sovereign Defaults: Evidence from Emerging Markets," Working Papers 22, European Stability Mechanism.
    4. Kleinow, Jacob & Moreira, Fernando, 2016. "Systemic risk among European banks: A copula approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 27-42.
    5. Beck, Günter W. & Kotz, Hans-Helmut & Zabelina, Natalia, 2015. "Euro area macro-financial stability: A flow-of-funds perspective," SAFE White Paper Series 29, Goethe University Frankfurt, Research Center SAFE - Sustainable Architecture for Finance in Europe.
    6. repec:eee:jimfin:v:82:y:2018:i:c:p:45-70 is not listed on IDEAS
    7. Mariana Laverde & Esteban Gómez & Miguel Ángel Morales Mosquera, 2011. "Measuring Systemic Risk in the Colombian Financial System: Systemic Contingent Claims Approach," Temas de Estabilidad Financiera 060, Banco de la Republica de Colombia.
    8. Sessi Tokpavi, 2013. "Testing for the Systemically Important Financial Institutions: a Conditional Approach," EconomiX Working Papers 2013-27, University of Paris Nanterre, EconomiX.
    9. Jack Bekooij & Jon Frost & Remco van der Molen & Krzysztof Muzalewski, 2016. "Hazardous tango: Sovereign-bank interdependencies across countries and time," DNB Working Papers 541, Netherlands Central Bank, Research Department.
    10. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    11. Jacob Kleinow & Tobias Nell, 2015. "Determinants of systemically important banks: the case of Europe," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 7(4), pages 446-476, November.
    12. Serkan Arslanalp & Yin Liao, 2013. "Contingent Liabilities and Sovereign Risk: Evidence from Banking Sectors," CAMA Working Papers 2013-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    13. Nicolas Arregui & Mohamed Norat & Antonio Pancorbo & Jodi G. Scarlata & Eija Holttinen & Fabiana Melo & Jay Surti & Christopher Wilson & Rodolfo Wehrhahn & Mamoru Yanase, 2013. "Addressing Interconnectedness; Concepts and Prudential Tools," IMF Working Papers 13/199, International Monetary Fund.
    14. Saldías, Martín, 2013. "Systemic risk analysis using forward-looking Distance-to-Default series," Journal of Financial Stability, Elsevier, vol. 9(4), pages 498-517.
    15. Dale F. Gray, 2013. "Modeling Banking, Sovereign, and Macro Risk in a CCA Global VAR," IMF Working Papers 13/218, International Monetary Fund.
    16. Yonggang Ye & Jiaqi Yang & Lingfeng Song & Pei ZHang, 2013. "Macroeconomics Framework Considered Risk Factors: Based on Default Distance," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 124-133, December.
    17. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," Journal of Financial Stability, Elsevier, vol. 23(C), pages 79-91.
    18. Singh, Manish K. & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015. "Bank risk behavior and connectedness in EMU countries," Journal of International Money and Finance, Elsevier, vol. 57(C), pages 161-184.
    19. Weiß, Gregor N.F. & Bostandzic, Denefa & Neumann, Sascha, 2014. "What factors drive systemic risk during international financial crises?," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 78-96.
    20. E. Jondeau & J-G. Sahuc, 2018. "A General Equilibrium Appraisal of Capital Shortfall," Working papers 668, Banque de France.
    21. Balteanu, Irina & Erce, Aitor, 2014. "Bank crises and sovereign defaults in emerging markets: exploring the links," Globalization and Monetary Policy Institute Working Paper 184, Federal Reserve Bank of Dallas.
    22. Andreas A. Jobst & Li L Ong & Christian Schmieder, 2013. "A Framework for Macroprudential Bank Solvency Stress Testing; Application to S-25 and Other G-20 Country FSAPs," IMF Working Papers 13/68, International Monetary Fund.
    23. Sommer, Kamila, 2014. "Fertility Choice in a Life Cycle Model with Idiosyncratic Uninsurable Earnings Risk," Finance and Economics Discussion Series 2014-32, Board of Governors of the Federal Reserve System (U.S.).

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