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Gathering insights on the forest from the trees: a new metric for financial conditions

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  • Scott Brave
  • R. Andrew Butters
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    Abstract

    By incorporating the Harvey accumulator into the large approximate dynamic factor framework of Doz et al. (2006), we are able to construct a coincident index of financial conditions from a large unbalanced panel of mixed frequency financial indicators. We relate our financial conditions index, or FCI, to the concept of a "financial crisis" using Markov-switching techniques. After demonstrating the ability of the index to capture "crisis" periods in U.S. financial history, we present several policy-geared threshold rules for the FCI using Receiver Operator Characteristics (ROC) curve analysis.

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    File URL: http://www.chicagofed.org/digital_assets/publications/working_papers/2010/wp2010_07.pdf
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    Bibliographic Info

    Paper provided by Federal Reserve Bank of Chicago in its series Working Paper Series with number WP-2010-07.

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    Date of creation: 2010
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    Handle: RePEc:fip:fedhwp:wp-2010-07

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    Related research

    Keywords: Financial crises ; Financial markets;

    This paper has been announced in the following NEP Reports:

    References

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    1. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
    2. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
    3. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2008. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," Working Papers ECARES 2008_034, ULB -- Universite Libre de Bruxelles.
    4. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
    5. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, 07.
    6. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    7. Carmen M. Reinhart & Kenneth S. Rogoff, 2008. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," CEMA Working Papers 595, China Economics and Management Academy, Central University of Finance and Economics.
    8. Fabian Valencia & Luc Laeven, 2008. "Systemic Banking Crises: A New Database," IMF Working Papers 08/224, International Monetary Fund.
    9. Durbin, James & Koopman, Siem Jan, 2001. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, number 9780198523543.
    10. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    11. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    12. Baker, Stuart G. & Kramer, Barnett S., 2007. "Peirce, Youden, and Receiver Operating Characteristic Curves," The American Statistician, American Statistical Association, vol. 61, pages 343-346, November.
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    Cited by:
    1. Louzis, Dimitrios P. & Vouldis, Angelos T., 2012. "A methodology for constructing a financial systemic stress index: An application to Greece," Economic Modelling, Elsevier, vol. 29(4), pages 1228-1241.

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