Testing for the Systemically Important Financial Institutions: a Conditional Approach
We introduce in this paper a testing approach that allows checking whether two financial institutions are systemically equivalent, with systemic risk measured by CoVaR (Adrian and Brunnermeier, 2011). The test compares the difference in CoVaR forecasts for two financial institutions via a suitable loss function that has an economic content. Our testing approach differs from those in the literature in the sense that it is conditional, and helps evaluating in a forward-looking manner, the extent to which statistically significant differences in CoVaR forecasts can be attributed to lag values of market state variables. Moreover, the test can be used to identify systemically important financial institutions (SIFIs). Extensive Monte Carlo simulations show that the test has desirable small sample properties. With an application on a sample including 70 large U.S. financial institutions, our conditional test using market state variables such as VIX and various yield spreads, reveals more (resp. less) heterogeneity in the systemic profiles of these institutions compared to its unconditional version, in crisis (resp. non-crisis) period. It also emerges that the systemic ranking provided by our testing approach is a good forecast of a financial institution's sensitivity to a crisis. This is in contrast to the ranking obtained directly using CoVaR forecasts which has less predictive power because of estimation uncertainty.
|Date of creation:||2013|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://economix.fr
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- repec:fip:fedhpr:y:2010:i:may:p:65-71 is not listed on IDEAS
- Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004.
"An econometric model of serial correlation and illiquidity in hedge fund returns,"
Journal of Financial Economics,
Elsevier, vol. 74(3), pages 529-609, December.
- Mila Getmansky & Andrew W. Lo & Igor Makarov, 2003. "An Econometric Model of Serial Correlation and Illiquidity in Hedge Fund Returns," NBER Working Papers 9571, National Bureau of Economic Research, Inc.
- Getmansky, Mila & Lo, Andrew & Makarov, Igor, 2003. "An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns," Working papers 4288-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Arturo Estrella & Mary R. Trubin, 2006. "The yield curve as a leading indicator: some practical issues," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 12(Jul).
- Tim Bollerslev, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
EERI Research Paper Series
EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
- Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2010.
"Measuring systemic risk,"
1002, Federal Reserve Bank of Cleveland.
- Andreas A. Jobst & Dale F. Gray, 2013. "Systemic Contingent Claims Analysis; Estimating Market-Implied Systemic Risk," IMF Working Papers 13/54, International Monetary Fund.
- Matteo Barigozzi & Christian Brownlees, 2013.
"Nets: Network Estimation for Time Series,"
723, Barcelona Graduate School of Economics.
- Xin Huang & Hao Zhou & Haibin Zhu, 2009.
"A framework for assessing the systemic risk of major financial institutions,"
Finance and Economics Discussion Series
2009-37, Board of Governors of the Federal Reserve System (U.S.).
- Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
- Xin Huang & Hao Zhou & Haibin Zhu, 2009. "A Framework for Assessing the Systemic Risk of Major Financial Institutions," BIS Working Papers 281, Bank for International Settlements.
- Viral V. Acharya, 2010. "Measuring systemic risk," Proceedings 1140, Federal Reserve Bank of Chicago.
- Christian Capuano, 2008. "The Option-Ipod. the Probability of Default Implied by Option Prices Basedon Entropy," IMF Working Papers 08/194, International Monetary Fund.
- Diebold, Francis X & Mariano, Roberto S, 1995.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 13(3), pages 253-63, July.
- Tom Doan, . "DMARIANO: RATS procedure to compute Diebold-Mariano Forecast Comparison Test," Statistical Software Components RTS00055, Boston College Department of Economics.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Long Chen & Pierre Collin-Dufresne & Robert S. Goldstein, 2009. "On the Relation Between the Credit Spread Puzzle and the Equity Premium Puzzle," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3367-3409, September.
When requesting a correction, please mention this item's handle: RePEc:drm:wpaper:2013-27. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Valérie Mignon)
If references are entirely missing, you can add them using this form.