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Commodity Price Movements in a General Equilibrium Model of Storage

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  • David M Arseneau
  • Sylvain Leduc

Abstract

The paper embeds the canonical rational expectations competitive storage model into a general equilibrium framework thereby allowing the nonlinear commodity price dynamics implied by the competitive storage model to interact with the broader macroeconomy. The paper's main result is that the endogenous movement in interest rates implied under general equilibrium enhances the effects of competitive storage on commodity prices. Compared with a model in which the real interest rate is fixed, the paper finds that storage in general equilibrium leads to more persistence in commodity prices and to a lower frequency of stockouts. A key mechanism driving this result is a link between the ability of the household to smooth consumption over time and the level of storage in the stochastic equilibrium. Finally, the model is used to examine the macroeconomic effects of biofuel subsidies for ethanol producers.

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  • David M Arseneau & Sylvain Leduc, 2013. "Commodity Price Movements in a General Equilibrium Model of Storage," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(1), pages 199-224, April.
    • Handle: RePEc:pal:imfecr:v:61:y:2013:i:1:p:199-224
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    Cited by:

    1. Hirbod Assa & Amal Dabbous & Nikolay Gospodinov, 2013. "A staggered pricing approach to modeling speculative storage: implications for commodity price dynamics," FRB Atlanta Working Paper 2013-08, Federal Reserve Bank of Atlanta.
    2. Jiang, Yonghong & Jiang, Cheng & Nie, He & Mo, Bin, 2019. "The time-varying linkages between global oil market and China's commodity sectors: Evidence from DCC-GJR-GARCH analyses," Energy, Elsevier, vol. 166(C), pages 577-586.
    3. Juan Antonio Galán-Gutiérrez & Rodrigo Martín-García, 2022. "Fundamentals vs. Financialization during Extreme Events: From Backwardation to Contango, a Copper Market Analysis during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    4. Pfuderer, Simone, 2014. "Are stockholders rational? An experimental approach to testing the competitive storage model," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170537, Agricultural Economics Society.
    5. Kilian, Lutz & Lee, Thomas K., 2014. "Quantifying the speculative component in the real price of oil: The role of global oil inventories," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 71-87.
    6. Andrew Filardo & Jacopo Lombardi & Carlos Montoro, 2018. "Monetary policy spillovers, global commodity prices and cooperation," BIS Working Papers 696, Bank for International Settlements.
    7. Gruber, Joseph W. & Vigfusson, Robert J., 2018. "Interest Rates And The Volatility And Correlation Of Commodity Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 600-619, April.
    8. Ginn, William & Pourroy, Marc, 2019. "Optimal monetary policy in the presence of food price subsidies," Economic Modelling, Elsevier, vol. 81(C), pages 551-575.
    9. Branger, Nicole & Grüning, Patrick & Schlag, Christian, 2016. "Commodities, financialization, and heterogeneous agents," SAFE Working Paper Series 131, Leibniz Institute for Financial Research SAFE.
    10. Luis Catão & Roberto Chang, 2013. "Monetary Rules for Commodity Traders," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(1), pages 52-91, April.
    11. Nader Karimi & Hirbod Assa & Erfan Salavati & Hojatollah Adibi, 2023. "Calibration of Storage Model by Multi-Stage Statistical and Machine Learning Methods," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1437-1455, December.
    12. Jin, Xin, 2019. "The role of market expectations in commodity price dynamics: Evidence from oil data," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 1-18.
    13. Tore S. Kleppe & Atle Oglend, 2019. "Can limits‐to‐arbitrage from bounded storage improve commodity term‐structure modeling?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 865-889, July.
    14. Lutz Kilian, 2014. "Oil Price Shocks: Causes and Consequences," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 133-154, October.
    15. Sylvain Leduc & Kevin Moran & Robert J. Vigfusson, 2023. "Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications," The Review of Economics and Statistics, MIT Press, vol. 105(2), pages 392-407, March.
    16. Karimi, Nader & Salavati, Erfan & Assa, Hirbod & Adibi, Hojatollah, 2024. "A stochastic optimal stopping model for storable commodity prices," Statistics & Probability Letters, Elsevier, vol. 204(C).
    17. Conny Olovsson, 2019. "Oil prices in a general equilibrium model with precautionary demand for oil," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 1-17, April.
    18. ap Gwilym, Rhys & Ebrahim, M. Shahid & El Alaoui, Abdelkader O. & Rahman, Hamid & Taamouti, Abderrahim, 2020. "Financial frictions and the futures pricing puzzle," Economic Modelling, Elsevier, vol. 87(C), pages 358-371.
    19. Vincent Bodart & François Courtoy & Erica Perego, 2021. "World Interest Rates and Macroeconomic Adjustments in Developing Commodity Producing Countries," Working Papers 2021-01, CEPII research center.
    20. Vorotnikova, Ekaterina, 2016. "Optimal Storage Capacity Allocation in Grain Merchandizing," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230128, Southern Agricultural Economics Association.
    21. Steven D. Baker, 2021. "The Financialization of Storable Commodities," Management Science, INFORMS, vol. 67(1), pages 471-499, January.
    22. 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.
    23. Gal Hochman & Scott Kaplan & Deepak Rajagopal & David Zilberman, 2012. "Biofuel and Food-Commodity Prices," Agriculture, MDPI, vol. 2(3), pages 1-10, September.

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