IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v31y2019ics1544612318304902.html
   My bibliography  Save this article

A readily computable commodity price index: 1900–2016

Author

Listed:
  • Fernandez, Viviana

Abstract

This article presents an extended version of Grilli and Yang (1988)’s non-fuel commodity price index (GYCPI) for the period of 1900−2016. Specifically, the annual index under consideration comprises thirty-six commodities: the twenty-four non-fuel primary commodities considered by Grilli and Yang, two fuel commodities (i.e., oil and coal), eight additional metals and minerals (i.e., boron, cobalt, iron ore, iron & steel, manganese, phosphate rock, tungsten, and nickel), and two additional precious metals (i.e., gold and platinum). The extended index displays strong co-movement with a Divisia-version of GYCPI.

Suggested Citation

  • Fernandez, Viviana, 2019. "A readily computable commodity price index: 1900–2016," Finance Research Letters, Elsevier, vol. 31(C).
    • Handle: RePEc:eee:finlet:v:31:y:2019:i:c:s1544612318304902
    DOI: 10.1016/j.frl.2018.12.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612318304902
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2018.12.015?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John T. Cuddington, 1992. "An empirical analysis of real commodity price trends: Aggregation, model selection and implications," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 7(2), pages 159-179.
    2. Grilli, Enzo R & Yang, Maw Cheng, 1988. "Primary Commodity Prices, Manufactured Goods Prices, and the Terms of Trade of Developing Countries: What the Long Run Shows," The World Bank Economic Review, World Bank, vol. 2(1), pages 1-47, January.
    3. Drechsel, Thomas & Tenreyro, Silvana, 2018. "Commodity booms and busts in emerging economies," Journal of International Economics, Elsevier, vol. 112(C), pages 200-218.
    4. Yamada, Hiroshi & Yoon, Gawon, 2014. "When Grilli and Yang meet Prebisch and Singer: Piecewise linear trends in primary commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 193-207.
    5. John Baffes & Xiaoli L. Etienne, 2016. "Analysing food price trends in the context of Engel’s Law and the Prebisch-Singer hypothesis," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 688-713.
    6. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    7. Clements, Kenneth W., 1982. "Divisia moments of Australian consumption," Economics Letters, Elsevier, vol. 9(1), pages 43-48.
    8. Stephan Pfaffenzeller & Paul Newbold & Anthony Rayner, 2007. "A Short Note on Updating the Grilli and Yang Commodity Price Index," The World Bank Economic Review, World Bank, vol. 21(1), pages 151-163.
    9. Erten, Bilge & Ocampo, José Antonio, 2013. "Super Cycles of Commodity Prices Since the Mid-Nineteenth Century," World Development, Elsevier, vol. 44(C), pages 14-30.
    10. Tcha, M. & Takashina, G., 2002. "Is world metal consumption in disarray?," Resources Policy, Elsevier, vol. 28(1-2), pages 61-74.
    11. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    12. David I. Harvey & Neil M. Kellard & Jakob B. Madsen & Mark E. Wohar, 2010. "The Prebisch-Singer Hypothesis: Four Centuries of Evidence," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 367-377, May.
    13. Harvey, David I. & Kellard, Neil M. & Madsen, Jakob B. & Wohar, Mark E., 2017. "Long-Run Commodity Prices, Economic Growth, and Interest Rates: 17th Century to the Present Day," World Development, Elsevier, vol. 89(C), pages 57-70.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Winkelried, Diego, 2021. "Unit roots in real primary commodity prices? A meta-analysis of the Grilli and Yang data set," Journal of Commodity Markets, Elsevier, vol. 23(C).

    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. Ghoshray, Atanu, 2019. "Do international primary commodity prices exhibit asymmetric adjustment?," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 40-50.
    2. Winkelried, Diego, 2016. "Piecewise linear trends and cycles in primary commodity prices," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 196-213.
    3. Winkelried, Diego, 2018. "Unit roots, flexible trends, and the Prebisch-Singer hypothesis," Journal of Development Economics, Elsevier, vol. 132(C), pages 1-17.
    4. Shouvik Chakraborty & Prabirjit Sarkar, 2020. "From The Classical Economists To Empiricists: A Review Of The Terms Of Trade Controversy," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1111-1133, December.
    5. Yamada, Hiroshi & Yoon, Gawon, 2014. "When Grilli and Yang meet Prebisch and Singer: Piecewise linear trends in primary commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 193-207.
    6. Winkelried, Diego, 2021. "Unit roots in real primary commodity prices? A meta-analysis of the Grilli and Yang data set," Journal of Commodity Markets, Elsevier, vol. 23(C).
    7. Jair N. Ojeda-Joya & Oscar Jaulin-Mendez & Juan C. Bustos-Peláez, 2019. "The Interdependence Between Commodity-Price and GDP Cycles: A Frequency-Domain Approach," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(3), pages 275-292, September.
    8. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2013. "Primary commodity prices: Co-movements, common factors and fundamentals," Journal of Development Economics, Elsevier, vol. 101(C), pages 16-26.
    9. Byrne, Joseph P & Fazio, Giorgio & Fiess, Norbert, 2010. "Optimism and commitment: An elementary theory of bargaining and war," SIRE Discussion Papers 2010-102, Scottish Institute for Research in Economics (SIRE).
    10. Addison, Tony & Ghoshray, Atanu, 2023. "Discerning trends in international metal prices in the presence of nonstationary volatility," Resource and Energy Economics, Elsevier, vol. 71(C).
    11. Manuel Landajo & María José Presno, 2022. "The prices of renewable commodities: a robust stationarity analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 447-470, April.
    12. Manuel Landajo & Mar'ia Jos'e Presno, 2024. "The prices of renewable commodities: A robust stationarity analysis," Papers 2402.01005, arXiv.org.
    13. Fernandez, Viviana, 2012. "Trends in real commodity prices: How real is real?," Resources Policy, Elsevier, vol. 37(1), pages 30-47.
    14. Jean-François Carpantier, 2021. "Commodity Prices in Empirical Research," Dynamic Modeling and Econometrics in Economics and Finance, in: Gilles Dufrénot & Takashi Matsuki (ed.), Recent Econometric Techniques for Macroeconomic and Financial Data, pages 199-227, Springer.
    15. repec:ocp:ppaper:pb-1732 is not listed on IDEAS
    16. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
    17. Ourens, Guzmán, 2017. "Uneven growth in the extensive margin: explaining the lag of agricultural economies," CEPREMAP Working Papers (Docweb) 1704, CEPREMAP.
    18. Harvey, David I. & Kellard, Neil M. & Madsen, Jakob B. & Wohar, Mark E., 2017. "Long-Run Commodity Prices, Economic Growth, and Interest Rates: 17th Century to the Present Day," World Development, Elsevier, vol. 89(C), pages 57-70.
    19. Tony Addison & Atanu Ghoshray & Michalis P. Stamatogiannis, 2016. "Agricultural Commodity Price Shocks and Their Effect on Growth in Sub-Saharan Africa," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(1), pages 47-61, February.
    20. Hany Fahmy, 2021. "A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis," JRFM, MDPI, vol. 14(7), pages 1-17, July.
    21. Fernandez, Viviana, 2018. "Price and income elasticity of demand for mineral commodities," Resources Policy, Elsevier, vol. 59(C), pages 160-183.

    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:eee:finlet:v:31:y:2019:i:c:s1544612318304902. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.