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The Financial Stress Index: Identification of Systemic Risk Conditions

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  • Mikhail V. Oet

    () (Economist, Supervision and Regulation, Federal Reserve Bank of Cleveland, 1455 E 6th St, Cleveland, OH 44114, USA
    Nonprofit Research Fellow, Case Western Reserve University, Euclid Ave 10900, Cleveland, OH 44106, USA)

  • John M. Dooley

    () (Economic Analyst, Supervision and Regulation, Federal Reserve Bank of Cleveland, 1455 E 6th St, Cleveland, OH 44114, USA)

  • Stephen J. Ong

    () (Vice President, Supervision and Regulation, Federal Reserve Bank of Cleveland, 1455 E 6th St, Cleveland, OH 44114, USA)

Abstract

This paper develops a financial stress measure for the United States, the Cleveland Financial Stress Index (CFSI). The index is based on publicly available data describing a six-market partition of the financial system comprising credit, funding, real estate, securitization, foreign exchange, and equity markets. This paper improves upon existing stress measures by objectively selecting between several index weighting methodologies across a variety of monitoring frequencies through comparison against a volatility-based benchmark series. The resulting measure facilitates the decomposition of stress to identify disruptions in specific markets and provides insight into historical stress regimes.

Suggested Citation

  • Mikhail V. Oet & John M. Dooley & Stephen J. Ong, 2015. "The Financial Stress Index: Identification of Systemic Risk Conditions," Risks, MDPI, Open Access Journal, vol. 3(3), pages 1-25, September.
  • Handle: RePEc:gam:jrisks:v:3:y:2015:i:3:p:420-444:d:55870
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    Cited by:

    1. Office of Financial Research (ed.), 2012. "Office of Financial Research 2012 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 12-1, March.
    2. Hyeongwoo Kim & Kyunghwan Ko, 2017. "Improving Forecast Accuracy of Financial Vulnerability: Partial Least Squares Factor Model Approach," Working Papers 2017-14, Economic Research Institute, Bank of Korea.
    3. Hyeongwoo Kim & Hyun Hak Kim & Wen Shi, 2015. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Working Papers 2015-30, Economic Research Institute, Bank of Korea.
    4. Duprey, Thibaut & Klaus, Benjamin & Peltonen, Tuomas, 2017. "Dating systemic financial stress episodes in the EU countries," Journal of Financial Stability, Elsevier, vol. 32(C), pages 30-56.
    5. Farruggio, Christian & Michalak, Tobias C. & Uhde, Andre, 2013. "The light and dark side of TARP," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2586-2604.
    6. Kliesen, Kevin L. & Owyang, Michael T. & Vermann, E. Katarina, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
    7. Sun, Lixin & Huang, Yuqin, 2016. "Measuring the instability of China's financial system: Indices construction and an early warning system," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 10, pages 1-41.
    8. Hubrich, Kirstin & Tetlow, Robert J., 2015. "Financial stress and economic dynamics: The transmission of crises," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 100-115.
    9. repec:eee:finsta:v:34:y:2018:i:c:p:136-149 is not listed on IDEAS
    10. Oet, Mikhail V. & Bianco, Timothy & Gramlich, Dieter & Ong, Stephen J., 2013. "SAFE: An early warning system for systemic banking risk," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4510-4533.
    11. Oet, Mikhail V. & Gramlich, Dieter & Sarlin, Peter, 2016. "Evaluating measures of adverse financial conditions," Journal of Financial Stability, Elsevier, vol. 27(C), pages 234-249.
    12. MacDonald, Ronald & Sogiakas, Vasilios & Tsopanakis, Andreas, 2015. "An investigation of systemic stress and interdependencies within the Eurozone and Euro Area countries," Economic Modelling, Elsevier, vol. 48(C), pages 52-69.
    13. Carpenter, Seth & Demiralp, Selva & Schlusche, Bernd & Senyuz, Zeynep, 2014. "Measuring stress in money markets: A dynamic factor approach," Economics Letters, Elsevier, vol. 125(1), pages 101-106.
    14. Hyeongwoo Kim & Wen Shi, 2015. "Forecasting Financial Market Vulnerability in the U.S.: A Factor Model Approach," Auburn Economics Working Paper Series auwp2015-04, Department of Economics, Auburn University.
    15. repec:mnb:finrev:v:16:y:2017:i:2:p:119-147 is not listed on IDEAS
    16. repec:agr:journl:v:3(612):y:2017:i:3(612):p:147-172 is not listed on IDEAS
    17. Zigraiova, Diana & Jakubik, Petr, 2015. "Systemic event prediction by an aggregate early warning system: An application to the Czech Republic," Economic Systems, Elsevier, vol. 39(4), pages 553-576.
    18. repec:eee:ecmode:v:68:y:2018:i:c:p:96-116 is not listed on IDEAS

    More about this item

    Keywords

    financial stress; systemic conditions; crisis identification; financial system stability; systemic risk; early warning system;

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • G0 - Financial Economics - - General
    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • M4 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting
    • K2 - Law and Economics - - Regulation and Business Law

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