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DESTABILIZING EFFECTS OF BANK OVERLEVERAGING ON REAL ACTIVITY—AN ANALYSIS BASED ON A THRESHOLD MCS-GVAR

Published online by Cambridge University Press:  11 July 2017

Marco Gross,
Jerome Henry and
Willi Semmler
Marco Gross
Affiliation:
European Central Bank
Jerome Henry
Affiliation:
New School for Social Research and University of Bielefeld
Willi Semmler*
Affiliation:
New School for Social Research and University of Bielefeld
*
Address correspondence to: Willi Semmler, Henry Arnhold Professor of Economics, Department of Economics, New School for Social Research, New York, NY, USA; e-mail: semmlerw@newschool.edu.
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Abstract

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We investigate the consequences of overleveraging and the potential for destabilizing effects arising from financial- and real-sector interactions. In a theoretical framework, we model overleveraging and demonstrate how a highly leveraged banking system can lead to unstable dynamics and downward spirals. Inspired by models developed by Brunnermeier, Sannikov and Stein, we empirically measure the deviation-from-optimal-leverage for a sample of large EU banks. This measure of overleveraging is used to condition the joint dynamics of credit flows and macroeconomic activity in a large-scale regime change model: a Threshold Mixed-Cross-Section Global Vector Autoregressive (T-MCS-GVAR). The regime-switching component of the model is meant to make the relationship between credit and real activity dependent on the extent to which the banking system is overleveraged. We find significant nonlinearities as a function of overleverage. The farther the observed leverage in the banking system from optimal leverage, the more detrimental is the effect of a deleveraging shock on credit supply and economic activity.

Keywords

Macro-Financial LinkagesLeverageCredit Supply

Information

Type
Articles
Information
Macroeconomic Dynamics , Volume 22 , Special Issue 7: Recent Insights into Financial, Housing, and Monetary Markets , October 2018, pp. 1750 - 1768
Copyright
Copyright © Cambridge University Press 2017 

References

REFERENCES

Adrian, T. and Shin, H. S. (2010) Liquidity and leverage. Journal of Financial Intermediation 19 (3), 418–437.Google Scholar
Allen, F. and Gale, D. (2004) Financial intermediaries and markets. Econometrica 72 (4), 1023–1061.Google Scholar
Bernanke, B. S., Gertler, M. and Gilchrist, S. (1999) The financial accelerator in a quantitative business cycle framework. Handbook of Macroeconomics 1, 1341–1393.Google Scholar
Binder, M. and Gross, M. (2013) Regime-Switching Global Vector Autoregressive Models. European Central Bank working paper no. 1596, August.Google Scholar
Borio, C., Furfine, C. and Lowe, P. (2001) Procyclicality of the Financial System and Financial Stability: Issues and Policy Options. BIS paper, 1:1–57.Google Scholar
Brunnermeier, M., Crockett, A., Goodhart, C., Persaud, A. and Shin, H. S. (2009) The fundamental principles of financial regulation. Centre for Economic Policy Research.Google Scholar
Brunnermeier, M. K. and Sannikov, Y. (2014) A macroeconomic model with a financial Sector. American Economic Review 104 (2), 379–421.Google Scholar
Canova, F. and De Nicolo, G. (2002) Monetary disturbances matter for business fluctuations in the G-7. Journal of Monetary Economics 49, 1131–1159.Google Scholar
Chudik, A. and Pesaran, M. H. (2014) Theory and Practice of GVAR Modeling. FED Bank of Dallas working paper (180) May.Google Scholar
Christiano, L. and Ikeda, D. (2013) Leverage Restrictions in a Business Cycle Model. Working paper 18688, National Bureau of Economic Research.Google Scholar
Claessens, S., Kose, M. and Terrones, M. (2012) How do business and financial cycles interact? Journal of International Economics 87 (1), 178–190.Google Scholar
Dees, S., di Mauro, F., Pesaran, M. H., and Smith, L. V. (2007) Exploring the international linkages of the euro area: A global VAR analysis. Journal of Applied Econometrics 22 (1), 1–38.Google Scholar
Drehmann, M., Borio, C. and K. Tsatsaronis (2011) Anchoring countercyclical capital buffers: The role of credit aggregates. International Journal of Central Banking 7 (4), 189–240.Google Scholar
Eickmeier, S. and Ng, T. (2011) How Do Credit Supply Shocks Propagate Internationally? A GVAR Approach. Deutsche Bundesbank discussion paper no. 27.Google Scholar
Faust, J. (1998) The robustness of identified VAR conclusions about money. Carnegie-Rochester Conference Series on Public Policy 49 (1), 207–244.Google Scholar
Geanakoplos, J. (2009) The leverage cycle. NBER Macroeconomics Annual 24, 1–65.Google Scholar
Gerali, A., Neri, S., Sessa, L. and Signoretti, F. M. (2010) Credit and banking in a DSGE model of the euro area. Journal of Money, Credit and Banking 42 (s1), 107–141.Google Scholar
Goodhart, C. A., Kashyap, A. K., Tsomocos, D. P., and Vardoulakis, A. P. (2012) Financial Regulation in General Equilibrium. Working paper 17909, National Bureau of Economic Research.Google Scholar
Gross, M., Henry, J., and Semmler, W. (2016b), Destabilizing Effects of Bank Overleveraging on Real Activity–An Analysis based on a Threshold Mixed-Cross-Section GVAR, Working paper, ECB, forthcoming.Google Scholar
Gross, M. and Kok, C. (2013) Measuring Contagion Potential Among Sovereigns and Banks using a Mixed-Cross-Section GVAR. European Central Bank working paper no. 1570, August.Google Scholar
Gross, M., Kok, C., and Zochowski, D. (2016a) The Impact of Bank Capital on Economic Activity –- Evidence from a Mixed-Cross-Section GVAR Model. European Central Bank working paper no. 1888.Google Scholar
Gruene, L., Semmler, W. and Stieler, M. (2015) Using nonlinear model predictive control for dynamic decision problems in economics. Journal of Economic Dynamics and Control 60, 112–133.Google Scholar
Kiyotaki, N. and Moore, J. (1997) Credit cycles. Journal of Political Economy 105 (2), 211–248.Google Scholar
Laeven, L. and Valencia, F. (2012) Systemic Banking Crises: An Update, IMF working paper 12/ 163.Google Scholar
Mittnik, S. and Semmler, W. (2013) The real consequences of financial stress. Journal of Economic Dynamics & Control 37 (8), 1479–1499.Google Scholar
Pesaran, M. H., Schuermann, T. and Weiner, S. M. (2004) Modelling regional interdependencies using a global error-correcting macroeconometric model. Journal of Business and Economic Statistics 22 (2), 129–162.Google Scholar
Pesaran, M. H. and Smith, R. (2006) Macroeconometric modeling with a global perspective. The Manchester School 74 (1), 24–49.Google Scholar
Reinhart, C. and Rogoff, K. (2009) This Time is Different: Eight Centuries of Financial Folly. Princeton, NJ: Princeton University Press.Google Scholar
Schleer, F., Semmler, W. and Illner, J. (2014) Overleveraging in the Banking Sector: Evidence from Europe, ZEW working paper. Journal of Economics and Statistics, vol. 236. no: 6, 2016.Google Scholar
Schularick, M. and Taylor, A. M. (2012) Credit booms gone bust: Monetary policy, leverage cycles, and financial crises, 1870–2008. American Economic Review 102 (2), 1029–1061.Google Scholar
Stein, J. L. (2012) Stochastic Optimal Control and the U.S. Financial Debt Crisis. Heidelberg/New York: Springer.Google Scholar
Uhlig, H. (2005) What are the effects of monetary policy on output? Results from an agnostic identification procedure. Journal of Monetary Economics 52 (2), 381–419.Google Scholar