IDEAS home Printed from https://ideas.repec.org/p/ags/udelsp/15834.html

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/15834/files/sp020002.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.15834?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-1393, November.
    2. Robert Engle & Clive Granger, 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roy, Rudra Prosad & Sinha Roy, Saikat, 2022. "Commodity futures prices pass-through and monetary policy in India: Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    2. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Commodity futures returns and policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 364-383.
    3. Bhar, Ramaprasad & Hamori, Shigeyuki, 2008. "Information content of commodity futures prices for monetary policy," Economic Modelling, Elsevier, vol. 25(2), pages 274-283, March.
    4. Belke, Ansgar H. & Bordon, Ingo G. & Hendricks, Torben W., 2014. "Monetary policy, global liquidity and commodity price dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 1-16.
    5. Ansgar Belke & Ingo Bordon & Torben Hendricks, 2010. "Global liquidity and commodity prices-a cointegrated VAR approach for OECD countries," Applied Financial Economics, Taylor & Francis Journals, vol. 20(3), pages 227-242.
    6. Ansgar Belke & Ingo G. Bordon & Torben W. Hendricks, 2010. "Monetary Policy, Global Liquidity and Commodity Price Dynamics," Ruhr Economic Papers 0167, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    7. repec:ebl:ecbull:v:5:y:2007:i:13:p:1-7 is not listed on IDEAS
    8. Bhar, Ramaprasad & Hammoudeh, Shawkat, 2011. "Commodities and financial variables: Analyzing relationships in a changing regime environment," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 469-484, October.
    9. Ansgar Belke & Ingo G. Bordon & Torben W. Hendricks, 2009. "Global Liquidity and Commodity Prices – A Cointegrated VAR Approach for OECD Countries," Ruhr Economic Papers 0102, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    10. Shigeyuki Hamori, 2007. "The information role of commodity prices in formulating monetary policy: some evidence from Japan," Economics Bulletin, AccessEcon, vol. 5(13), pages 1-7.
    11. Belke, Ansgar & Bordon, Ingo G. & Volz, Ulrich, 2013. "Effects of Global Liquidity on Commodity and Food Prices," World Development, Elsevier, vol. 44(C), pages 31-43.
    12. Semko Roman, 2013. "Optimal economic policy and oil prices shocks in Russia," EERC Working Paper Series 13/03e, EERC Research Network, Russia and CIS.
    13. Titus O. Awokuse, 2003. "Is the export-led growth hypothesis valid for Canada?," Canadian Journal of Economics, Canadian Economics Association, vol. 36(1), pages 126-136, February.
    14. Bianca Biagi & Manuela Pulina, 2009. "Bivariate VAR models to test Granger causality between tourist demand and supply: Implications for regional sustainable growth," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 231-244, March.
    15. Zapata, Hector O. & Gil, Jose M., 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics, Blackwell, vol. 20(1), pages 1-9, January.
    16. Judith Giles & Cara Williams, 2001. "Export-led growth: a survey of the empirical literature and some non-causality results. Part 2," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 9(4), pages 445-470.
    17. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
    18. B. Faye & E. Le Fur & S. Prat, 2015. "Dynamics of fine wine and asset prices: evidence from short- and long-run co-movements," Applied Economics, Taylor & Francis Journals, vol. 47(29), pages 3059-3077, June.
    19. Yongliang Zhang & Md. Qamruzzaman & Salma Karim & Ishrat Jahan, 2021. "Nexus between Economic Policy Uncertainty and Renewable Energy Consumption in BRIC Nations: The Mediating Role of Foreign Direct Investment and Financial Development," Energies, MDPI, vol. 14(15), pages 1-29, August.
    20. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    21. Levrero, Enrico Sergio & Deleidi, Matteo, 2017. "The money creation process: A theoretical and empirical analysis for the US," MPRA Paper 81970, University Library of Munich, Germany.

    More about this item

    Keywords

    ;

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:udelsp:15834. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dfudeus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.