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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.

Suggested Citation

  • Vipin Arora & Rod Tyers, 2011. "Asset Arbitrage and the Price of Oil," CAMA Working Papers 2011-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2011-21
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Tyers, Rod, 2015. "International effects of China's rise and transition: Neoclassical and Keynesian perspectives," Journal of Asian Economics, Elsevier, vol. 37(C), pages 1-19.
    2. Rod Tyers, 2016. "China and Global Macroeconomic Interdependence," The World Economy, Wiley Blackwell, vol. 39(11), pages 1674-1702, November.
    3. Vadim Ye. Zyamalov, 2017. "Comparison of the Predictive Ability of Single and Multi-Regime Models of Stock Market Dynamics," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 64-75, April.
    4. Turuntseva, M. & Zyamalov, V., 2016. "Stock Markets under the Changing Terms of Trade," Journal of the New Economic Association, New Economic Association, vol. 31(3), pages 93-109.
    5. Tyers, Rod, 2014. "Looking inward for transformative growth," China Economic Review, Elsevier, vol. 29(C), pages 166-184.
    6. Rod Tyers & Ying Zhang & Tsun Se Cheong, 2013. "China’s Saving and Global Economic Performance," Economics Discussion / Working Papers 13-20, The University of Western Australia, Department of Economics.
    7. 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, September.
    8. Arora, Vipin & Tanner, Matthew, 2013. "Do oil prices respond to real interest rates?," Energy Economics, Elsevier, vol. 36(C), pages 546-555.
    9. Shakizada Niyazbekova & Igor Grekov & Tatiana Blokhina, 2016. "The Influence Of Macroeconomic Factors To The Dynamics Of Stock Exchange In The Republic Of Kazakhstan," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1263-1273.
    10. Semei Coronado & Rangan Gupta & Saban Nazlioglu & Omar Rojas, 2023. "Time‐varying causality between bond and oil markets of the United States: Evidence from over one and half centuries of data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2239-2247, July.
    11. Rod Tyers, 2014. "Pessimism Shocks in a Model of Global Macroeconomic Interdependence," Economics Discussion / Working Papers 14-28, The University of Western Australia, Department of Economics.
    12. Wan, Jer-Yuh & Kao, Chung-Wei, 2015. "Interactions between oil and financial markets — Do conditions of financial stress matter?," Energy Economics, Elsevier, vol. 52(PA), pages 160-175.
    13. Prayudhi Azwar & Rod Tyers, 2015. "Indonesian Macro Policy through Two Crises," CAMA Working Papers 2015-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Rod Tyers, 2013. "A Simple Model to Study Global Macroeconomic Interdependence," Economics Discussion / Working Papers 13-23, The University of Western Australia, Department of Economics.

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    More about this item

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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