IDEAS home Printed from https://ideas.repec.org/a/eee/jpolmo/v31y2009i2p189-207.html
   My bibliography  Save this article

Aluminium market and the macroeconomy

Author

Listed:
  • Boschi, Melisso
  • Pieroni, Luca

Abstract

We propose a structural model of the interaction between the aluminium market and the macroeconomy incorporating the rational expectations hypothesis. Based on a competition à la Cournot, our model predicts that aluminium spot price and inventories will respond to macroeconomic shocks to line up supply to the demand level. The model also includes incomplete adjustments to shocks that occur near the delivery date of futures contracts with the implication of a likely high persistence in the aluminium spot price. Estimation results show that the influence of the real exchange rate and the real interest rate on the aluminium price, though statistically significant, is small. We argue that this result is largely expected once we consider the peculiar features of the aluminium market. Further support to this view is provided by the large persistence of the aluminium price response to its own shock and by the negligible contribution of stockholdings innovations to the price forecast error variance.

Suggested Citation

  • Boschi, Melisso & Pieroni, Luca, 2009. "Aluminium market and the macroeconomy," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 189-207.
  • Handle: RePEc:eee:jpolmo:v:31:y:2009:i:2:p:189-207
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0161-8938(08)00084-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Robert S. Pindyck, 1994. "Inventories and the Short-Run Dynamics of Commodity Prices," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 141-159, Spring.
    3. Jeffrey Frankel, 2003. "A Proposed Monetary Regime for Small Commodity Exporters: Peg the Export Price (‘PEP’)," International Finance, Wiley Blackwell, vol. 6(1), pages 61-88, March.
    4. Serena Ng & Francisco J. Ruge-Murcia, 2000. "Explaining the Persistence of Commodity Prices," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 149-171, October.
    5. Clarida, Richard & Gali, Jordi, 1994. "Sources of real exchange-rate fluctuations: How important are nominal shocks?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41(1), pages 1-56, December.
    6. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," Review of Economic Studies, Oxford University Press, vol. 59(1), pages 1-23.
    7. Jeffrey A. Frankel, 1995. "Financial Markets and Monetary Policy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061740.
    8. Frankel, Jeffrey A., 2005. "Peg the export price index: A proposed monetary regime for small countries," Journal of Policy Modeling, Elsevier, vol. 27(4), pages 495-508, June.
    9. Gilbert, Christopher L, 1989. "The Impact of Exchange Rates and Developing Country Debt on Commodity Prices," Economic Journal, Royal Economic Society, vol. 99(397), pages 773-784, September.
    10. Deaton, Angus & Laroque, Guy, 2003. "A model of commodity prices after Sir Arthur Lewis," Journal of Development Economics, Elsevier, vol. 71(2), pages 289-310, August.
    11. 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.
    12. Powell, Andrew, 1993. "Trading Forward in an Imperfect Market: The Case of Electricity in Britain," Economic Journal, Royal Economic Society, vol. 103(417), pages 444-453, March.
    13. Gilbert, Christopher L, 1995. "Modelling Market Fundamentals: A Model of the Aluminum Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 385-410, Oct.-Dec..
    14. Deaton, Angus & Laroque, Guy, 1996. "Competitive Storage and Commodity Price Dynamics," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 896-923, October.
    15. Chambers, Marcus J & Bailey, Roy E, 1996. "A Theory of Commodity Price Fluctuations," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 924-957, October.
    16. John B. Taylor, 1995. "The Monetary Transmission Mechanism: An Empirical Framework," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 11-26, Fall.
    17. Luca Pieroni & Matteo Ricciarelli, 2005. "Testing rational expectations in primary commodity markets," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1705-1718.
    18. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    19. Ioannidis, Christos & Kontonikas, Alexandros, 2008. "The impact of monetary policy on stock prices," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 33-53.
    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. Damiani, Mirella & Pompei, Fabrizio & Ricci, Andrea, 2011. "Temporary job protection and productivity growth in EU economies," MPRA Paper 29698, University Library of Munich, Germany.
    2. Marco Lombardi & Chiara Osbat & Bernd Schnatz, 2012. "Global commodity cycles and linkages: a FAVAR approach," Empirical Economics, Springer, vol. 43(2), pages 651-670, October.
    3. Su, Chi-Wei & Wang, Xiao-Qing & Zhu, Haotian & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Testing for multiple bubbles in the copper price: Periodically collapsing behavior," Resources Policy, Elsevier, vol. 65(C).
    4. Silvia Micheli, 2010. "Learning Curve and Wind Power," Quaderni del Dipartimento di Economia, Finanza e Statistica 81/2010, Università di Perugia, Dipartimento Economia.
    5. Francesco Venturini, 2011. "Product variety, product quality, and evidence of Schumpeterian endogenous growth: a note," Quaderni del Dipartimento di Economia, Finanza e Statistica 93/2011, Università di Perugia, Dipartimento Economia.
    6. Stefano Herzel & Marco Nicolosi & Cătălin Stărică, 2012. "The cost of sustainability in optimal portfolio decisions," The European Journal of Finance, Taylor & Francis Journals, vol. 18(3-4), pages 333-349, May.
    7. Mirella Damiani, 2010. "Labour regulation, corporate governance and varieties of capitalism," Quaderni del Dipartimento di Economia, Finanza e Statistica 76/2010, Università di Perugia, Dipartimento Economia.
    8. Ma, Richie Ruchuan & Xiong, Tao, 2021. "Price explosiveness in nonferrous metal futures markets," Economic Modelling, Elsevier, vol. 94(C), pages 75-90.
    9. Davide Castellani & Fabio Pieri, 2011. "Foreign Investments and Productivity Evidence from European Regions," Quaderni del Dipartimento di Economia, Finanza e Statistica 83/2011, Università di Perugia, Dipartimento Economia.

    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. Pieroni, Luca & Ricciarelli, Matteo, 2008. "Modelling dynamic storage function in commodity markets: Theory and evidence," Economic Modelling, Elsevier, vol. 25(5), pages 1080-1092, September.
    2. Hildegart Ahumada & Magdalena Cornejo, 2015. "Explaining commodity prices by a cointegrated time series-cross section model," Empirical Economics, Springer, vol. 48(4), pages 1667-1690, June.
    3. Nicolas Legrand, 2019. "The Empirical Merit Of Structural Explanations Of Commodity Price Volatility: Review And Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 639-664, April.
    4. Bu, Hui, 2014. "Effect of inventory announcements on crude oil price volatility," Energy Economics, Elsevier, vol. 46(C), pages 485-494.
    5. Christophe Gouel, 2012. "Agricultural Price Instability: A Survey Of Competing Explanations And Remedies," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 129-156, February.
    6. Kleppe, Tore Selland & Oglend, Atle, 2017. "Estimating the competitive storage model: A simulated likelihood approach," Econometrics and Statistics, Elsevier, vol. 4(C), pages 39-56.
    7. Chavas, Jean-Paul & Li, Jian, 2017. "The Effects of Private Stocks versus Public Stocks on Food Price Volatility," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259185, Agricultural and Applied Economics Association.
    8. Steinmetz, Alexander, 2010. "Price and inventory dynamics in an oligopoly industry: A framework for commodity markets," W.E.P. - Würzburg Economic Papers 82, University of Würzburg, Chair for Monetary Policy and International Economics.
    9. Nicola, Francesca de & De Pace, Pierangelo & Hernandez, Manuel A., 2016. "Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment," Energy Economics, Elsevier, vol. 57(C), pages 28-41.
    10. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food Price Volatility in Developing Countries and its Determinants," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(4), pages 1-32, November.
    11. Kelley, Clare & Lanot, Gauthier, 2002. "Consumption Patterns Over Pay Periods," Economic Research Papers 269469, University of Warwick - Department of Economics.
    12. Calum G. Turvey & Jeffrey R. Stokes, 2008. "Market Structure and the Value of Agricultural Contingent Claims," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(1), pages 79-94, March.
    13. Arango, Santiago & Larsen, Erik, 2011. "Cycles in deregulated electricity markets: Empirical evidence from two decades," Energy Policy, Elsevier, vol. 39(5), pages 2457-2466, May.
    14. Mu, Xiaoyi, 2007. "Weather, storage, and natural gas price dynamics: Fundamentals and volatility," Energy Economics, Elsevier, vol. 29(1), pages 46-63, January.
    15. Evans, Lewis & Guthrie, Graeme, 2007. "Commodity Price Behavior With Storage Frictions," Working Paper Series 3966, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    16. Delphine Lautier & Franck Raynaud, 2014. "Information Flows in the term structure of commodity prices," Post-Print hal-01655842, HAL.
    17. Cesar Revoredo, 2000. "On The Solution Of The Dynamic Rational Expectations Commodity Storage Model In The Presence Of Stockholding By Speculators And Processors," Computing in Economics and Finance 2000 42, Society for Computational Economics.
    18. Richter, Martin & Sørensen, Carsten, 2002. "Stochastic Volatility and Seasonality in Commodity Futures and Options: The Case of Soybeans," Working Papers 2002-4, Copenhagen Business School, Department of Finance.
    19. Li, Huiyu & Stachurski, John, 2014. "Solving the income fluctuation problem with unbounded rewards," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 353-365.
    20. Diego Bastourre, 2008. "Inversores Financieros en los Mercados de Commodities: Un Modelo con Dinámica de Ajuste no Lineal al Equilibrio," Department of Economics, Working Papers 072, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.

    More about this item

    Keywords

    Metal commodities Monetary transmission mechanism Rational expectations hypothesis test SVAR;

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • 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

    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:eee:jpolmo:v:31:y:2009:i:2:p:189-207. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/inca/505735 .

    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/inca/505735 .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.