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The connection between Wall Street and Main Street : measurement and implications for monetary policy

  • Barattieri, Alessandro
  • Eden, Maya
  • Stevanovi, Dalibor

This paper proposes a measure of the extent to which a financial sector is connected to the real economy. The Measure of Connectedness is a measure of the composition of assets, namely the share of credit to the non-financial sectors over the total credit market instruments. The aggregate Measure of Connectedness for the United States declines by about 27 percent in the period 1952-2009. The authors suggest that this increase in disconnectedness between the financial sector and the real economy may have dampened the sensitivity of the real economy to monetary shocks. They present a stylized model that illustrates how interbank trading can reduce the sensitivity of lending to the entrepreneur's net worth, thereby dampening the credit channel transmission of monetary policy. The Measure of Connectedness is interacted with both a structural vector autoregressive model and a factor-augmented vector autoregressive model for the United States economy. The analysis establishes that the impulse responses to monetary policy shocks are dampened as the level of connection declines.

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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 6667.

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Date of creation: 01 Oct 2013
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Handle: RePEc:wbk:wbrwps:6667
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  1. Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," NBER Working Papers 17490, National Bureau of Economic Research, Inc.
  2. Valentina Bruno & Hyun Song Shin, 2013. "Capital Flows and the Risk-Taking Channel of Monetary Policy," NBER Working Papers 18942, National Bureau of Economic Research, Inc.
  3. Yener Altunbas & Leonardo Gambacorta & David Marques, 2008. "Securitization and the bank lending channel," Proceedings 1101, Federal Reserve Bank of Chicago.
  4. Jean-Stéphane Mésonnier & Dalibor Stevanovic, 2013. "Bank Leverage Shocks and the Macroeconomy: a New Look in a Data-Rich Environment," Cahiers de recherche 1330, CIRPEE.
  5. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
  6. Bernanke, Ben & Gertler, Mark, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Working Papers 95-15, C.V. Starr Center for Applied Economics, New York University.
  7. Gennaioli, Nicola & Shleifer, Andrei & Vishny, Robert, 2014. "Finance and the Preservation of Wealth," CEPR Discussion Papers 9890, C.E.P.R. Discussion Papers.
  8. Thomas Philippon & Ariell Reshef, 2013. "An International Look at the Growth of Modern Finance," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 73-96, Spring.
  9. Claudio Borio & Haibin Zhu, 2008. "Capital regulation, risk-taking and monetary policy: a missing link in the transmission mechanism?," BIS Working Papers 268, Bank for International Settlements.
  10. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 307-362, February.
  11. Dynan, Karen E. & Elmendorf, Douglas W. & Sichel, Daniel E., 2006. "Can financial innovation help to explain the reduced volatility of economic activity?," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 123-150, January.
  12. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 14-23.
  13. Thomas Philippon & Ariell Reshef, 2009. "Wages and Human Capital in the U.S. Financial Industry: 1909-2006," NBER Working Papers 14644, National Bureau of Economic Research, Inc.
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