Systemic Real and Financial Risks; Measurement, Forecasting, and Stress Testing
This paper formulates a novel modeling framework that delivers: (a) forecasts of indicators of systemic real risk and systemic financial risk based on density forecasts of indicators of real activity and financial health; (b) stress-tests as measures of the dynamics of responses of systemic risk indicators to structural shocks identified by standard macroeconomic and banking theory. Using a large number of quarterly time series of the G-7 economies in 1980Q1-2010Q2, we show that the model exhibits significant out-of sample forecasting power for tail real and financial risk realizations, and that stress testing provides useful early warnings on the build-up of real and financial vulnerabilities.
|Date of creation:||01 Feb 2012|
|Date of revision:|
|Contact details of provider:|| Postal: International Monetary Fund, Washington, DC USA|
Phone: (202) 623-7000
Fax: (202) 623-4661
Web page: http://www.imf.org/external/pubind.htm
More information through EDIRC
|Order Information:||Web: http://www.imf.org/external/pubs/pubs/ord_info.htm|
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.:
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007.
"Quantile And Probability Curves Without Crossing,"
Boston University - Department of Economics - Working Papers Series
WP2007-011, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," Post-Print hal-01052958, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," Sciences Po publications info:hdl:2441/5rkqqmvrn4t, Sciences Po.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
- Huisman, Ronald, et al, 2001. "Tail-Index Estimates in Small Samples," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 208-16, April.
- Acerbi, Carlo & Tasche, Dirk, 2002.
"On the coherence of expected shortfall,"
Journal of Banking & Finance,
Elsevier, vol. 26(7), pages 1487-1503, July.
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008.
"Sectoral vs. aggregate shocks : a structural factor analysis of industrial production,"
08-07, Federal Reserve Bank of Richmond.
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. Aggregate Shocks: A Structural Factor Analysis of Industrial Production," NBER Working Papers 14389, National Bureau of Economic Research, Inc.
- Joseph G. Haubrich & Andrew W. Lo, 2013. "Quantifying Systemic Risk," NBER Books, National Bureau of Economic Research, Inc, number haub10-1.
- repec:spo:wpecon:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
When requesting a correction, please mention this item's handle: RePEc:imf:imfwpa:12/58. 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: (Jim Beardow)or (Hassan Zaidi)
If references are entirely missing, you can add them using this form.