Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-24T02:25:43.990Z Has data issue: false hasContentIssue false

FINANCIAL SECTOR INTERCONNECTEDNESS AND MONETARY POLICY TRANSMISSION

Published online by Cambridge University Press:  13 February 2018

Alessandro Barattieri*
Affiliation:
Collegio Carlo Alberto and ESG UQAM
Maya Eden
Affiliation:
Brandeis University
Dalibor Stevanovic
Affiliation:
ESG UQAM, CIRPÉE, and CIRANO
*
Address correspondence to: Alessandro Barattieri, Collegio Carlo Alberto and ESG UQAM, Via Real Collegio 30, 10024 Moncalieri (TO), Italy; e-mails: [email protected] (primary), [email protected]

Abstract

We present a stylized model that illustrates how interbank trading can reduce the sensitivity of lending to entrepreneurs' net worth, thus affecting the transmission mechanism of monetary policy through the credit channel. We build a model-consistent measure of interconnectedness and document that, in the United States, this measure has increased substantially during the period 1952–2016. Finally, interacting the measure of interconnectedness in a structural vector autoregression and a factor-augmented vector autoregression for the US economy, we find that the impulse responses of several real and financial variables to monetary policy shocks are dampened as interconnectedness increases. We confirm the same result using data from 10 Euro area countries for the period 1999–2016.

Type
Articles
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

We would like to thank Steve Ambler, Susanto Basu, Ben Eden, Patrick Fève, Jeffrey Frieden, Marc Giannoni, Alain Guay, Michel Juillard, Sydney C. Ludvigson, Jean-Stéphane Mésonnier, Kevin Moran, Louis Phaneuf, Thomas Philippon, Franck Portier, Federico Ravenna, Luis Serven, and seminar participants at ESG UQÀM, Bank of France, EUI, Atelier en macroéconomie CIRPÉE-DEEP-TSE 2013, 2013 CEA annual conference, 2014 EEA annual meeting, Central Bank of Ireland, and Peking University HSBC Business School for useful comments and suggestions. Elise Martin provided outstanding research assistance.

References

REFERENCES

Acemoglu, D., Ozdaglar, A., and Tahbaz-Salehi, A. (2015) Systemic risk and stability in financial networks. American Economic Review 105 (2), 564608.Google Scholar
Adrian, T. and Ashcraft, A. B. (2012) Shadow Banking Regulation. Federal Reserve Bank of New York, Staff Report No. 559.Google Scholar
Adrian, T. and Shin, H. S. (2010) The changing nature of financial intermediation and the financial crisis of 2007–2009. Annual Review of Economics 2, 603618.Google Scholar
Adrian, T. and Shin, H. S. (2011) Financial intermediaries and monetary economics. In Benjamin Friedman and Michael Woodford (eds.), Handbook of Monetary Economics, Ch. 12, pp. 601650. Elsevier.Google Scholar
Bai, J. and Ng, S. (2002) Determining the number of factors in approximate factor models. Econometrica 70 (1), 191221.Google Scholar
Bai, J. and Ng, S. (2006) Confidence intervals for diffusion index forecasts and inference for factor-augmented regressions. Econometrica 74, 11331150.Google Scholar
Backer, S., Bloom, N., and Davis, S. (2016) Measuring economic policy uncertainty. Quarterly Journal of Economics (forthcoming).Google Scholar
Balabanova, Z. and Brüggemann, R. (2017) External information and monetary policy transmission in new EU member states: Results from FAVAR models. Macroeconomic Dynamics 21 (2), 311335.Google Scholar
Beck, T., Colciago, A., and Pfajfar, D. (2014) The role of financial intermediaries in monetary policy. Journal of Economic Dynamics and Control 43, 111.Google Scholar
Bernanke, B. S., Boivin, J., and Eliasz, P. (2005) Measuring the effects of monetary policy: A factor-augmented vector autoregressive (FAVAR) approach. Quarterly Journal of Economics 120, 387422.Google Scholar
Bianchi, J. and Bigio, S. (2014) Banks, Liquidity Management, and Monetary Policy. Federal Reserve Bank of Minneapolis Research Department Staff Report 503, Mimeo.Google Scholar
Boivin, J. and Giannoni, M. (2006) Has monetary policy become more effective? The Review of Economics and Statistics 88 (3), 445462.Google Scholar
Boivin, J., Kiley, M. T., and Mishkin, F. S. (2011) How has the monetary transmission mechanism evolved over time? In Friedman, Benjamin and Woodford, Michael (eds.), Handbook of Monetary Economics, Ch. 8, pp. 369422. Elsevier.Google Scholar
Bordo, M. D., Duca, J. V., and Koch, C. (2016) Economic Policy Uncertainty and the Credit Channel: Aggregate and Bank Level U.S. Evidence over Several Decades. NBER working paper 22021.Google Scholar
Borio, C. and Zhu, H. (2012) Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism? Journal of Financial Stability 8 (4), 236251.Google Scholar
Bruno, V. and Shin, H. S. (2013) Capital Flows and the Risk-Taking Channel of Monetary Policy. NBER working paper 18942.Google Scholar
Cabrales, A., Gottardi, P., and Vega-Redondo, F. (2016) Risk-Sharing and Contagion in Networks. CESifo Working Paper Series 4715, CESifo Group Munich, Mimeo.Google Scholar
Ciccarelli, M., Maddaloni, A., and Peydro, J. L. (2015) Trusting the bankers: A new look at the credit channel of monetary policy. Review of Economic Dynamics 18, 9791002.Google Scholar
Diamond, D. W. and Rajan, R. G. (2006) Money in a theory of banking. American Economic Review 96 (1), 3052.Google Scholar
Dynan, K., Elmendorf, D. W., and Sichel, D. E. (2006) Can financial innovation help to explain the reduced volatility of economic activity? Journal of Monetary Economics 53, 123.Google Scholar
Farboody, M. (2015) Intermediation and Voluntary Exposure to Counterparty Risk. Mimeo.Google Scholar
Forni, M., Giannone, D., Lippi, M., and Reichlin, L. (2009) Opening the black box: Structural factor models with large cross sections. Econometric Theory 25 (05), 13191347.Google Scholar
Freixas, X. and Jorge, J. (2008) The role of interbank markets in monetary policy: A model with rationing. Journal of Money, Credit and Banking 40 (6), 11511176.Google Scholar
Greenwood, R. and Scharfstein, D. (2013) The growth of modern finance. Journal of Economic Perspectives 27 (2), 328.Google Scholar
Gorton, G. and Metrik, A. (2012) Securitization. In Constantinides, G., Harris, M., and Stulz, R. (eds.), The Handbook of the Economics of Finance, Vol. 2, Part A, pp. 1–70.Google Scholar
Gordon, G. and Winton, A. (2003) Financial intermediation. In Constantinides, G. M., Harris, M. and Stulz, R. (eds.), Handbook of the Economics of Finance, pp. 431552. North Holland: Elsevier.Google Scholar
Hobjin, B. and Ravenna, F. (2010) Loan Securitization and the Monetary Transmission Mechanism. Mimeo.Google Scholar
Ippolito, F., Ozdagli, A. K., and Perez-Orive, A. (2017) The Transmission of Monetary Policy Through Bank Lending: The Floating Rate Channel? FEDS Working Paper No. 2017-026, Mimeo.Google Scholar
Jiménez, G., Ongena, S., Peydro, J. L., and Saurina, J. (2012) Credit supply and monetary policy: Identifying the bank balance-sheet channel with loan applications. American Economic Review 102 (5), 23012326.Google Scholar
Jiménez, G., Ongena, S., Peydro, J. L., and Saurina, J. (2014) Hazardous times for monetary policy: What do 23 million loans say about the impact of monetary policy on credit risk-taking? Econometrica 82 (2), 463505.Google Scholar
Mesonnier, J.-S. and Stevanovic, D. (2016) The Macroeconomic Effects of Shocks to Large Banks' Capital. Oxford Bullettin of Economics and Statistics (forthcoming).Google Scholar
Moran, K. and Meh, C. (2013) Shadow Banking and Regulation: A Quantitative Assessment. Mimeo.Google Scholar
Onatski, A. (2010) Determining the number of factors from empirical distribution of eigenvalues? The Review of Economics and Statistics 92 (4), 10041016.Google Scholar
Philippon, T. (2015) Has the US finance industry become less efficient? American Economic Review 105 (4), 14081438.Google Scholar
Philippon, T. and Reshef, A. (2013) An international look at the growth of modern finance. Journal of Economic Perspectives 27 (2), 7396.Google Scholar
Poznar, Z., Adrian, T., Ashcraft, A., and Boesky, H. (2012) Shadow Banking. Federal Reserve Bank of New York, Staff Report No. 458.Google Scholar
Stevanovic, D. (2012) Factor-Augmented Autoregressive Distributed Lag Models. Mimeo, UQAM.Google Scholar
Supplementary material: PDF

Barattieri et al. supplementary material

Online Appendix

Download Barattieri et al. supplementary material(PDF)
PDF 274.1 KB