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|
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- 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.
- 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.
- 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.
- 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).
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 20(1), pages 134-44, January.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics,
Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2010.
"Measuring systemic risk,"
1002, Federal Reserve Bank of Cleveland.
- 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," Finance and Economics Discussion Series 2009-37, Board of Governors of the Federal Reserve System (U.S.).
- 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," IMF Working Papers 08/194, International Monetary Fund.
- 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.
- Matteo Barigozzi & Christian Brownlees, 2013.
"Nets: Network Estimation for Time Series,"
723, Barcelona Graduate School of Economics.
- repec:fip:fedhpr:y:2010:i:may:p:65-71 is not listed on IDEAS
- Andreas A. Jobst & Dale F. Gray, 2013. "Systemic Contingent Claims Analysis; Estimating Market-Implied Systemic Risk," IMF Working Papers 13/54, International Monetary Fund.
- 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.
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