IDEAS home Printed from https://ideas.repec.org/p/bcr/wpaper/201050.html
   My bibliography  Save this paper

Commodity Prices: Structural Factors, Financial Markets and Non-Linear Dynamics

Author

Listed:
  • Diego Bastourre

    (Central Bank of Argentina)

  • Jorge Carrera

    (Central Bank of Argentina)

  • Javier Ibarlucia

    (Central Bank of Argentina)

Abstract

Up to the financial slump of the second quarter of 2008 commodity prices grew fast for several consecutive years in a highly volatile context. Recent commodity fluctuations have raised both policy concerns and a prolific academic debate. This paper offers a coherent theoretical and empirical framework aimed at improving our knowledge of those elements driving commodity prices in the long run once the so-called process of “financialization of commodities” is incorporated into the analysis. To this end, we employ a smooth transition vector autoregressive model which is suitable for testing the hypothesis derived from a heterogeneous agent model in the commodity markets. The empirical methodology allows us to distinguish among those variables that influence prices in the long run –obtaining in this way an “equilibrium” or “fundamental” price; and the mechanisms that generate, strengthen and eventually correct short run deviations with respect to that equilibrium. The results suggest that high discrepancies between spot and fundamental prices tend to be corrected relatively fast, while small misalignments tend to persist over time without any endogenous correcting force taking place.

Suggested Citation

  • Diego Bastourre & Jorge Carrera & Javier Ibarlucia, 2010. "Commodity Prices: Structural Factors, Financial Markets and Non-Linear Dynamics," BCRA Working Paper Series 201050, Central Bank of Argentina, Economic Research Department.
  • Handle: RePEc:bcr:wpaper:201050
    as

    Download full text from publisher

    File URL: http://www.bcra.gov.ar/pdfs/investigaciones/WP_50_2010i.PDF
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    commodity prices; developing countries; financial markets; non-linear dynamics;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

    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:bcr:wpaper:201050. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Federico Grillo (email available below). General contact details of provider: https://edirc.repec.org/data/bcraaar.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.