Systemic Risks and the Macroeconomy
AbstractThis paper presents a modeling framework that delivers joint forecasts of indicators of systemic real risk and systemic financial risk, as well as stress-tests of these indicators as impulse responses to structural shocks identified by standard macroeconomic and banking theory. This framework is implemented using large sets of quarterly time series of indicators of financial and real activity for the G-7 economies for the 1980Q1-2009Q3 period. We obtain two main results. First, there is evidence of out-of sample forecasting power for tail risk realizations of real activity for several countries, suggesting the usefulness of the model as a risk monitoring tool. Second, in all countries aggregate demand shocks are the main drivers of the real cycle, and bank credit demand shocks are the main drivers of the bank lending cycle. These results challenge the common wisdom that constraints in the aggregate supply of credit have been a key driver of the sharp downturn in real activity experienced by the G-7 economies in 2008Q4-2009Q1.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16998.
Date of creation: Apr 2011
Date of revision:
Publication status: published as Gianni De Nicolò, Marcella Lucchetta. "Systemic Risks and the Macroeconomy," in Joseph G. Haubrich and Andrew W. Lo, editors, "Quantifying Systemic Risk" University of Chicago Press (2013)
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Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
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Other versions of this item:
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-05-07 (All new papers)
- NEP-BAN-2011-05-07 (Banking)
- NEP-CBA-2011-05-07 (Central Banking)
- NEP-FOR-2011-05-07 (Forecasting)
- NEP-MAC-2011-05-07 (Macroeconomics)
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- John Boyd & Gianni De Nicolò & Elena Loukoianova, 2010.
"Banking Crises and Crisis Dating: Theory and Evidence,"
CESifo Working Paper Series
3134, CESifo Group Munich.
- Elena Loukoianova & Gianni De NicolÃ³ & John H. Boyd, 2009. "Banking Crises and Crisis Dating: Theory and Evidence," IMF Working Papers 09/141, International Monetary Fund.
- 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.
- 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.
- Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Ethan Cohen-Cole & Burcu Duygan-Bump & José Fillat & Judit Montoriol-Garriga, 2008. "Looking behind the aggregates: a reply to “Facts and Myths about the Financial Crisis of 2008”," Risk and Policy Analysis Unit Working Paper QAU08-5, Federal Reserve Bank of Boston.
- Ben Bernanke & Mark Gertler & Simon Gilchrist, 1998.
"The Financial Accelerator in a Quantitative Business Cycle Framework,"
NBER Working Papers
6455, National Bureau of Economic Research, Inc.
- Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393 Elsevier.
- Bernanke, B. & Gertler, M. & Gilchrist, S., 1998. "The Financial Accelerator in a Quantitative Business Cycle Framework," Working Papers 98-03, C.V. Starr Center for Applied Economics, New York University.
- 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.
- Xin Huang & Hao Zhou & Haibin Zhu, 2010.
"Assessing the systemic risk of a heterogeneous portfolio of banks during the recent financial crisis,"
BIS Working Papers
296, Bank for International Settlements.
- Huang, Xin & Zhou, Hao & Zhu, Haibin, 2012. "Assessing the systemic risk of a heterogeneous portfolio of banks during the recent financial crisis," Journal of Financial Stability, Elsevier, vol. 8(3), pages 193-205.
- Xin Huang & Hao Zhou & Haibin Zhu, 2009. "Assessing the systemic risk of a heterogeneous portfolio of banks during the recent financial crisis," Finance and Economics Discussion Series 2009-44, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
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