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The Informational Role Of Commodity Prices In Formulating Monetary Policy: A Reexamination

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  • Awokuse, Titus O.
  • Yang, Jian

Abstract

This paper reexamines the issue of whether commodity prices provide useful information for formulating monetary policy through the application of recent development in time series methodology developed by Toda and Yamamoto (1995). We found that commodity prices signals the future direction of the economy.

Suggested Citation

  • Awokuse, Titus O. & Yang, Jian, 2002. "The Informational Role Of Commodity Prices In Formulating Monetary Policy: A Reexamination," Staff Papers 15834, University of Delaware, Department of Food and Resource Economics.
    • Handle: RePEc:ags:udelsp:15834
    DOI: 10.22004/ag.econ.15834
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    References listed on IDEAS

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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-1393, November.
    3. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    4. David A. Bessler, 1984. "Relative Prices and Money: A Vector Autoregression on Brazilian Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 25-30.
    5. Hua, Ping, 1998. "On Primary Commodity Prices: The Impact of Macroeconomic/Monetary Shocks," Journal of Policy Modeling, Elsevier, vol. 20(6), pages 767-790, December.
    6. Olivera, Julio H G, 1970. "On Passive Money," Journal of Political Economy, University of Chicago Press, vol. 78(4), pages 805-814, Part II J.
    7. Garner, C Alan, 1989. "Commodity Prices: Policy Target or Information Variable? A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(4), pages 508-514, November.
    8. Sephton, Peter S, 1991. "Commodity Prices: Policy Target or Information Variable: A Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(2), pages 260-266, May.
    9. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    10. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    11. Cody, Brian J & Mills, Leonard O, 1991. "The Role of Commodity Prices in Formulating Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 358-365, May.
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    More about this item

    Keywords

    Financial Economics;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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