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The impact of corporate risk management on monetary policy transmission: some empirical evidence

  • Ingo Fender

Quite an impressive amount of recent academic research focuses on the idea that financial factors may cause or reinforce real fluctuations. In these models, it is typically a monetary policy shock that serves to lower the value of an asset which is used to secure a firm's borrowing, thereby generating broad credit channel effects of monetary transmission. We empirically investigate the impact of corporate risk management strategies on this specific transmission channel by using the seminal paper of Gertler and Gilchrist (1994) as a benchmark. A potentially important impact of corporate hedging is suggested by corporate finance models that generate hedge incentives by introducing asymmetric information into the credit markets, the assumption at the very heart of the available theories of a broad credit channel. The advent of liquid US interest rate derivatives markets in the mid-1970s should, therefore, serve as something like a turning point in the history of US monetary transmission. Credit channel effects should have been in operation prior to the introduction of these markets, while any such effect should have tended to vanish afterwards. In addition, we should be able to detect marked differences in the behaviour of small and large firms up to the 1970s in contrast to a broadly identical behaviour on the part of these firms in the period thereafter.

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Paper provided by Bank for International Settlements in its series BIS Working Papers with number 95.

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Length: 42 pages
Date of creation: Nov 2000
Date of revision:
Handle: RePEc:bis:biswps:95
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  1. Kloek, Tuen & van Dijk, Herman K, 1978. "Bayesian Estimates of Equation System Parameters: An Application of Integration by Monte Carlo," Econometrica, Econometric Society, vol. 46(1), pages 1-19, January.
  2. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  3. Daniel L. Thornton, 1994. "Financial innovation, deregulation and the "credit view" of monetary policy," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 31-49.
  4. Ben S. Bernanke & Ilian Mihov, 1995. "Measuring monetary policy," Working Papers in Applied Economic Theory 95-09, Federal Reserve Bank of San Francisco.
  5. 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.
  6. Ingo Fender, 2000. "Corporate hedging: the impact of financial derivatives on the broad credit channel of monetary policy," BIS Working Papers 94, Bank for International Settlements.
  7. Bagliano, Fabio-Cesare & Favero, Carlo A., 1997. "Measuring Monetary Policy with VAR Models: An Evaluation," CEPR Discussion Papers 1743, C.E.P.R. Discussion Papers.
  8. von Hagen, Jürgen & Fender, Ingo, 1998. "Central bank policy in a more perfect financial system," ZEI Working Papers B 03-1998, ZEI - Center for European Integration Studies, University of Bonn.
  9. Geweke, John, 1988. "Antithetic acceleration of Monte Carlo integration in Bayesian inference," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 73-89.
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