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Do Stock Prices Play a Significant Role in Formulating Monetary Policy? A Case Study

The recent fluctuations in stock prices around the world and the critical place that the demand function for money holds in the formulation of a country’s monetary policy motivated us to investigate the question as to whether real stock prices play any significant role in affecting the demand for money and hence monetary policy. Using Australia as a case study we subject the Australian money demand function (containing real money, interest rates, real income, and real stock prices) to a rigorous econometric scrutiny. The methods applied extend the well established cointegration and error-correction framework by analyzing the out of sample properties via generalized variance decompositions, generalized impulse response and persistence profile functions. We also apply the most recently developed technique of ‘long run structural modelling’ (Pesaran and Shin, Econometric Reviews, 2002) which by imposing exactly identifying and overidentifying restrictions on the cointegrating vector has taken care of a major limitation of the conventional cointegrating estimates in that they were atheoretical in nature. We investigate the positive income effects and negative substitution effects of stock prices on money by using short and long form of interest rates together with a narrow and broad definition of money. Our results tend to indicate that stock prices do play a significant role in the money demand function. A clear policy implication is that a failure to incorporate real stock prices in the money demand function may result in the function being unstable and the monetary policy being far less effective.

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Article provided by Camera di Commercio di Genova in its journal Economia Internazionale / International Economics.

Volume (Year): 62 (2009)
Issue (Month): 2 ()
Pages: 203-232

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Handle: RePEc:ris:ecoint:0010
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  1. Carlson, John B. & Hoffman, Dennis L. & Keen, Benjamin D. & Rasche, Robert H., 2000. "Results of a study of the stability of cointegrating relations comprised of broad monetary aggregates," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 345-383, October.
  2. Hamburger, Michael J & Kochin, Levis A, 1972. "Money and Stock Prices: The Channels of Influence," Journal of Finance, American Finance Association, vol. 27(2), pages 231-49, May.
  3. Pesaran, M. Hashem & Shin, Yongcheol, 1996. "Cointegration and speed of convergence to equilibrium," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 117-143.
  4. Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
  5. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  6. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-97, August.
  7. DeJong, David N, et al, 1992. "Integration versus Trend Stationarity in Time Series," Econometrica, Econometric Society, vol. 60(2), pages 423-33, March.
  8. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
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