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

  • Jorge Carrera
    ()

    (Central Bank of Argentina)

Registered editor(s):
  • Diego Bastourre

    ()

    (Central Bank of Argentina)

  • Jorge Carrera

    ()

    (Central Bank of Argentina)

  • Javier Ibarlucia

    ()

    (Central Bank of Argentina)

The volatile movements in commodity prices during the last years have raised new questions to be discussed in both policy and academic spheres. Up to the financial slump of the second quarter of 2008 commodity prices grew fast for several consecutive years in a highly volatile context. The international financial crisis suddenly broke this trend. However, after the abrupt correction during the most traumatic months of the crisis, commodity prices started a recovery, although the rate of growth was slower than in the previous cycle. Thus, this paper enters into this re-energized debate by developing a theoretical and empirical model that tries to help in understanding both those factors that affect long-run movements in prices and those that influence their short-run dynamics. In particular, the so-called financialization of commodities phenomenon is analyzed claiming that the impact of this process might be reflected in short-run movements in prices, but not in long-run or equilibrium values. In technical terms specifically, the main hypothesis is that the process of financialization of commodities could generate a non-linear adjustment pattern of prices towards their long-run equilibrium values. In order to theoretically support this hypothesis, a model of heterogeneous agents that interact in commodity markets is developed. The empirical evaluation is done with a smooth transition vector autoregressive model. Concerning long-run fundamentals of prices, this study focuses on the macroeconomic determinants of them. Among fundamentals, there is a clear role for world income (proxy variable for global demand). According to the view of several analysts this demand, would be growing at a pace that is not consistent with the expansion of international supply. The value of the US Dollar also plays an important part in the story. The influence of this variable has been stressed in other historical cycles of commodity prices. Additionally, easy monetary conditions in developed countries and the context of excessive liquidity have been pointed out as important elements by several authors. They would tend to add inflationary pressures that are more rapidly transmitted into goods with flexible prices as it is the case of commodities. In relation to the empirical front, the estimated model highlights the importance of both the macroeconomic fundamentals included in the long-run relationship and the significance of the hypothesis of non-linear price adjustment to the equilibrium value. The results suggest that large misalignments between spot and fundamental prices tend to be corrected relatively fast, while small gaps persist in time since in this case there are not endogenous correcting forces. Finally, this document covers two processes that were originated thirty years ago, but have intensified during the last decade. These processes cannot be omitted when the objective is to use the empirical results of the paper to project future trends in commodity markets. On the one hand, the issue of biofuels as a substitute of more traditional sources of energy is analyzed. On the other hand, the changing pattern of world demand due to structural transformations that are taking place in increasingly important emerging economies such as China and India is considered. Regarding policy implications for commodity-dependent developing countries, it must be stressed that commodity price misalignments should be carefully monitored: price reversions tend to be abrupt when the gap between actual and fundamental price is higher than 20-25%. It is also important to note that factors affecting commodity prices (like real international interest rates and the US real exchange rate) are similar to those that influence capital flows. This explains why it is hard for developing countries to cushion terms of trade shocks with external finance. The same fundamentals that worsen terms of trade affect negatively the access to international credit market.

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This book is provided by Central Bank of Argentina, Economic Research Department in its series BCRA Paper Series with number 06 and published in 2010.
ISBN: 978-987-1564-20-0
Handle: RePEc:bcr:estudi:06
Contact details of provider: Postal: Reconquista 266 - C1003ABF - Buenos Aires
Phone: (54-11) 4348-3582
Fax: (54-11) 4000-1257
Web page: http://www.bcra.gov.ar
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  1. Michael R. Darby & James R. Lothian, 1986. "Economic Events and Keynesian Ideas: The 1930s and the 1970s," NBER Working Papers 1987, National Bureau of Economic Research, Inc.
  2. Paul Cashin & C. John McDermott, 2001. "The Long-Run Behavior of Commodity Prices; Small Trends and Big Variability," IMF Working Papers 01/68, International Monetary Fund.
  3. Jeffrey A. Frankel & Kenneth A. Froot, 1987. "Short-term and Long-Term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data," NBER Working Papers 2216, National Bureau of Economic Research, Inc.
  4. Beenstock, Michael, 1988. "An Econometric Investigation of North-South Interdependence," CEPR Discussion Papers 230, C.E.P.R. Discussion Papers.
  5. Maximo Camacho, 2004. "Vector smooth transition regression models for US GDP and the composite index of leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 173-196.
  6. De Long, J. Bradford & Shleifer, Andrei & Summers, Lawrence H. & Waldmann, Robert J., 1990. "Noise Trader Risk in Financial Markets," Scholarly Articles 3725552, Harvard University Department of Economics.
  7. Eduardo Borensztein & Carmen Reinhart, 1994. "The Macroeconomic Determinants of Commodity Prices," IMF Working Papers 94/9, International Monetary Fund.
  8. Shin, Yongcheol, 1994. "A Residual-Based Test of the Null of Cointegration Against the Alternative of No Cointegration," Econometric Theory, Cambridge University Press, vol. 10(01), pages 91-115, March.
  9. Calista Cheung & Sylvie Morin, 2007. "The Impact of Emerging Asia on Commodity Prices," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 181-224, July-Dece.
  10. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333 National Bureau of Economic Research, Inc.
  11. Fourgeaud Claude & Gourieroux Christian & Pradel J, 1984. "Learning procedure and convergence to rationality," CEPREMAP Working Papers (Couverture Orange) 8411, CEPREMAP.
  12. Gary Gorton & K. Geert Rouwenhorst, 2004. "Facts and Fantasies about Commodity Futures," NBER Working Papers 10595, National Bureau of Economic Research, Inc.
  13. Claude B. Erb & Campbell R. Harvey, 2005. "The Tactical and Strategic Value of Commodity Futures," NBER Working Papers 11222, National Bureau of Economic Research, Inc.
  14. Chi-Young Choi & Ling Hu & Masao Ogaki, 2005. "Structural Spurious Regressions and A Hausman-type Cointegration Test," RCER Working Papers 517, University of Rochester - Center for Economic Research (RCER).
  15. Weise, Charles L, 1999. "The Asymmetric Effects of Monetary Policy: A Nonlinear Vector Autoregression Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(1), pages 85-108, February.
  16. Westerhoff, Frank & Reitz, Stefan, 2005. "Commodity price dynamics and the nonlinear market impact of technical traders: empirical evidence for the US corn market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(3), pages 641-648.
  17. 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.
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