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Asset arbitrage and the price of oil

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  • Arora, Vipin
  • Tyers, Rod

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 stock-holding. 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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Bibliographic Info

Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 29 (2012)
Issue (Month): 2 ()
Pages: 142-150

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Handle: RePEc:eee:ecmode:v:29:y:2012:i:2:p:142-150

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Web page: http://www.elsevier.com/locate/inca/30411

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Keywords: Oil price; Arbitrage; Two regions; Dynamic model; Endogenous; Interest rates;

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References

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  1. 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.
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  5. 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.
  6. 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.
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  8. 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.
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Cited by:
  1. Rod Tyers, 2013. "International Effects of China's Rise and Transition: Neoclassical and Keynesian Perspectives," CAMA Working Papers 2013-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  2. 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.
  3. Arora, Vipin & Tanner, Matthew, 2013. "Do oil prices respond to real interest rates?," Energy Economics, Elsevier, vol. 36(C), pages 546-555.
  4. 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.

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