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Systemic Risks and the Macroeconomy

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  • Gianni De Nicolò
  • Marcella Lucchetta

Abstract

This 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 Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16998.

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Date of creation: Apr 2011
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Publication status: published as Systemic Risks and the Macroeconomy , Gianni De Nicolò, Marcella Lucchetta. in Quantifying Systemic Risk , Haubrich and Lo. 2013
Handle: RePEc:nbr:nberwo:16998

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  1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, Econometric Society, vol. 70(1), pages 191-221, January.
  2. Bernanke, B. & Gertler, M. & Gilchrist, S., 1998. "The Financial Accelerator in a Quantitative Business Cycle Framework," Working Papers, C.V. Starr Center for Applied Economics, New York University 98-03, C.V. Starr Center for Applied Economics, New York University.
  3. 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, Board of Governors of the Federal Reserve System (U.S.) 2009-44, Board of Governors of the Federal Reserve System (U.S.).
  4. Elena Loukoianova & Gianni De Nicoló & John H. Boyd, 2009. "Banking Crises and Crisis Dating," IMF Working Papers 09/141, International Monetary Fund.
  5. 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.
  6. 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.
  7. 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, Federal Reserve Bank of Boston QAU08-5, Federal Reserve Bank of Boston.
  8. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 20(2), pages 147-62, April.
  9. 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.
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