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Asset Arbitrage and the Price of Oil

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  • Vipin Arora

    ()

  • Rod Tyers

    ()

Abstract

It is commonly understood that macroeconomic shocks influence commodity prices and that one channel for this is the link between interest rates, expected future asset returns and stockholding. In this paper the link is extended to the petroleum market with the recognition that recorded stocks of oil comprise a small share of annual demand and that the parallel with storable commodities is the decision to produce the oil in the first place, as opposed to holding it in the ground as reserve. Oil reserves are then a key asset in producing countries, which is arbitraged against financial assets. Thus, when the yield on financial assets falls, retaining oil reserves becomes more attractive to producing countries, which then have less incentive to accommodate demand rises, and so the oil price rises. This perspective on oil pricing is modeled in a dynamic multi-region general equilibrium framework in which regional households manage portfolios of assets that include oil reserves. When the model is calibrated to match observed data over two decades, simulation results indicate that asset arbitrage made a large contribution to the high pre-GFC oil price.

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File URL: http://cama.crawford.anu.edu.au/pdf/working-papers/2011/212011.pdf
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Bibliographic Info

Paper provided by Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University in its series CAMA Working Papers with number 2011-21.

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Length: 22 pages
Date of creation: Jul 2011
Date of revision:
Handle: RePEc:een:camaaa:2011-21

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  1. Jeffrey A. Frankel, 2006. "The Effect of Monetary Policy on Real Commodity Prices," NBER Working Papers 12713, National Bureau of Economic Research, Inc.
  2. Lutz Kilian & Alessandro Rebucci & Nikola Spatafora, 2007. "Oil Shocks and External Balances," Working Papers 562, Research Seminar in International Economics, University of Michigan.
  3. Akram, Q. Farooq, 2009. "Commodity prices, interest rates and the dollar," Energy Economics, Elsevier, vol. 31(6), pages 838-851, November.
  4. Wendner, Ronald, 1999. "A Calibration Procedure of Dynamic CGE Models for Non-steady State Situations Using GEMPACK," Computational Economics, Society for Computational Economics, vol. 13(3), pages 265-87, June.
  5. Codsi, George & Pearson, K R & Wilcoxen, Peter J, 1992. "General-Purpose Software for Intertemporal Economic Models," Computer Science in Economics & Management, Society for Computational Economics, vol. 5(1), pages 57-79, February.
  6. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
  7. Kilian, Lutz, 2007. "The Economic Effects of Energy Price Shocks," CEPR Discussion Papers 6559, C.E.P.R. Discussion Papers.
  8. Steven Pennings & Rod Tyers, 2008. "Increasing Returns, Financial Capital Mobility and Real Exchange Rate Dynamics," The Economic Record, The Economic Society of Australia, vol. 84(s1), pages S141-S158, 09.
  9. Vipin Arora, 2011. "Asset Value, Interest Rates and Oil Price Volatility," The Economic Record, The Economic Society of Australia, vol. 87(s1), pages 45-55, 09.
  10. Robert Barsky & Lutz Kilian, 2004. "Oil and the Macroeconomy Since the 1970s," NBER Working Papers 10855, National Bureau of Economic Research, Inc.
  11. Menzie D. Chinn & Hiro Ito, 2008. "Global Current Account Imbalances: American Fiscal Policy versus East Asian Savings," Review of International Economics, Wiley Blackwell, vol. 16(3), pages 479-498, 08.
  12. Peter B. Dixon & Maureen T. Rimmer, 2009. "Forecasting with a CGE model: does it work?," Centre of Policy Studies/IMPACT Centre Working Papers g-197, Victoria University, Centre of Policy Studies/IMPACT Centre.
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Cited by:
  1. Arora, Vipin & Tanner, Matthew, 2013. "Do oil prices respond to real interest rates?," Energy Economics, Elsevier, vol. 36(C), pages 546-555.
  2. Vipin Arora, 2011. "Asset Value, Interest Rates and Oil Price Volatility," ANU Working Papers in Economics and Econometrics 2011-536, Australian National University, College of Business and Economics, School of Economics.
  3. Rod Tyers, 2014. "International Effects of China’s Rise and Transition: Neoclassical and Keynesian Perspectives," CAMA Working Papers 2014-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  4. Rod TYERS, 2013. "China and Global Macroeconomic Interdependence," CAMA Working Papers 2013-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

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