Using stockpile delegation to improve China׳s strategic oil policy: A multi-dimension stochastic dynamic programming approach
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DOI: 10.1016/j.enpol.2014.03.014
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- Morana, Claudio, 2013.
"Oil price dynamics, macro-finance interactions and the role of financial speculation,"
Journal of Banking & Finance, Elsevier, vol. 37(1), pages 206-226.
- Claudio Morana, 2012. "Oil Price Dynamics, Macro-Finance Interactions and the Role of Financial Speculation," Working Papers 2012.07, Fondazione Eni Enrico Mattei.
- Claudio Morana, 2013. "Oil price dynamics, macro-finance interactions and the role of financial speculation," Working Papers 225, University of Milano-Bicocca, Department of Economics, revised Nov 2013.
- Morana, Claudio, 2012. "Oil price dynamics, macro-finance interactions and the role of financial speculation," Conference papers 332210, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
- Morana, Claudio, 2012. "Oil Price Dynamics, Macro-Finance Interactions and the Role of Financial Speculation," Energy: Resources and Markets 121723, Fondazione Eni Enrico Mattei (FEEM).
- Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
- Albert L. Nichols & Richard J. Zeckhauser, 1977. "Stockpiling Strategies and Cartel Prices," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 66-96, Spring.
- Tokic, Damir, 2012. "Speculation and the 2008 oil bubble: The DCOT Report analysis," Energy Policy, Elsevier, vol. 45(C), pages 541-550.
- Wu, Gang & Wei, Yi-Ming & Nielsen, Chris & Lu, Xi & McElroy, Michael B., 2012. "A dynamic programming model of China's strategic petroleum reserve: General strategy and the effect of emergencies," Energy Economics, Elsevier, vol. 34(4), pages 1234-1243.
- Tokic, Damir, 2011. "Rational destabilizing speculation, positive feedback trading, and the oil bubble of 2008," Energy Policy, Elsevier, vol. 39(4), pages 2051-2061, April.
- Cifarelli, Giulio & Paladino, Giovanna, 2010.
"Oil price dynamics and speculation: A multivariate financial approach,"
Energy Economics, Elsevier, vol. 32(2), pages 363-372, March.
- Giulio Cifarelli & Giovanna Paladino, 2008. "Oil price Dynamics and Speculation. A Multivariate Financial Approach," Working Papers - Economics wp2008_15.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
- Kaufmann, Robert K., 2011. "The role of market fundamentals and speculation in recent price changes for crude oil," Energy Policy, Elsevier, vol. 39(1), pages 105-115, January.
- Hung-Po Chao & Alan S. Manne, 1983. "Oil Stockpiles and Import Reductions: A Dynamic Programming Approach," Operations Research, INFORMS, vol. 31(4), pages 632-651, August.
- Maciej Jakubowski, 2013. "Analysis of the Predictive Power of PISA Test Items," OECD Education Working Papers 87, OECD Publishing.
- Haiwei Chen & Ansley Chua & Changha Jin, 2013. "Analyst Forecasting Errors in REITs," International Real Estate Review, Asian Real Estate Society, vol. 16(1), pages 48-67.
- Frederic H. Murphy & Michael A. Toman & Howard J. Weiss, 1989. "A Dynamic Nash Game Model of Oil Market Disruption and Strategic Stockpiling," Operations Research, INFORMS, vol. 37(6), pages 958-971, December.
- Kaufmann, Robert K. & Ullman, Ben, 2009. "Oil prices, speculation, and fundamentals: Interpreting causal relations among spot and futures prices," Energy Economics, Elsevier, vol. 31(4), pages 550-558, July.
- Bai, Y. & Zhou, D.Q. & Zhou, P., 2012. "Modelling and analysis of oil import tariff and stockpile policies for coping with supply disruptions," Applied Energy, Elsevier, vol. 97(C), pages 84-90.
- Zhang, Xiao-Bing & Fan, Ying & Wei, Yi-Ming, 2009. "A model based on stochastic dynamic programming for determining China's optimal strategic petroleum reserve policy," Energy Policy, Elsevier, vol. 37(11), pages 4397-4406, November.
- Bai, Y. & Zhou, D.Q. & Zhou, P. & Zhang, L.B., 2012. "Optimal path for China's strategic petroleum reserve: A dynamic programming analysis," Energy Economics, Elsevier, vol. 34(4), pages 1058-1063.
- Wu, Gang & Fan, Ying & Liu, Lan-Cui & Wei, Yi-Ming, 2008. "An empirical analysis of the dynamic programming model of stockpile acquisition strategies for China's strategic petroleum reserve," Energy Policy, Elsevier, vol. 36(4), pages 1470-1478, April.
- Frederic H. Murphy & Michael A. Toman & Howard J. Weiss, 1987. "A Stochastic Dynamic Nash Game Analysis of Policies for Managing the Strategic Petroleum Reserves of Consuming Nations," Management Science, INFORMS, vol. 33(4), pages 484-499, April.
- Thomas J. Teisberg, 1981. "A Dynamic Programming Model of the U.S. Strategic Petroleum Reserve," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 526-546, Autumn.
- Brian D. Wright & Jeffrey C. Williams, 1982. "The Roles of Public and Private Storage in Managing Oil Import Disruptions," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 341-353, Autumn.
- Wei, Yi-Ming & Wu, Gang & Fan, Ying & Liu, Lan-Cui, 2008. "Empirical analysis of optimal strategic petroleum reserve in China," Energy Economics, Elsevier, vol. 30(2), pages 290-302, March.
- MehrdadBisadi & ShahrizanBaharom, 2013. "Moving Load Analysis on Skewed Railway Bridge," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 3(2), pages 198-203, February.
- Zhang, Yue-Jun, 2013. "Speculative trading and WTI crude oil futures price movement: An empirical analysis," Applied Energy, Elsevier, vol. 107(C), pages 394-402.
- Shmuel S. Oren & Shao Hong Wan, 1986. "Optimal Strategic Petroleum Reserve Policies: A Steady State Analysis," Management Science, INFORMS, vol. 32(1), pages 14-29, January.
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- Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
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Keywords
Multi-dimension dynamic programming; Strategic oil stockpile; China;All these keywords.
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