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Theory of storage, inventory and volatility in the LME base metals

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  1. Wang, Xiao-Qing & Wu, Tong & Zhong, Huaming & Su, Chi-Wei, 2023. "Bubble behaviors in nickel price: What roles do geopolitical risk and speculation play?," Resources Policy, Elsevier, vol. 83(C).
  2. Yao, Wei & Alexiou, Constantinos, 2022. "Exploring the transmission mechanism of speculative and inventory arbitrage activity to commodity price volatility. Novel evidence for the US economy," International Review of Financial Analysis, Elsevier, vol. 80(C).
  3. Duc Huynh, Toan Luu & Burggraf, Tobias & Nasir, Muhammad Ali, 2020. "Financialisation of natural resources & instability caused by risk transfer in commodity markets," Resources Policy, Elsevier, vol. 66(C).
  4. Li, Beibei & Chen, Yiming & Wu, Haipeng & Mao, Xuefeng, 2025. "Macroeconomics, geopolitical risk, and resource commodity price bubbles," Resources Policy, Elsevier, vol. 101(C).
  5. Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2021. "Speculative incentives to hoard aluminum: Relationship between capital gains and inventories," Resources Policy, Elsevier, vol. 70(C).
  6. Atle Oglend & Vesa-Heikki Soini, 2020. "Equilibrium Working Curves with Heterogeneous Agents," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 355-372, August.
  7. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
  8. Fernandez, Viviana, 2020. "The predictive power of convenience yields," Resources Policy, Elsevier, vol. 65(C).
  9. Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
  10. An N. Q. Cao & Michel A. Robe, 2022. "Market uncertainty and sentiment around USDA announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 250-275, February.
  11. Shen, Junjie & Huang, Shupei, 2022. "Copper cross-market volatility transition based on a coupled hidden Markov model and the complex network method," Resources Policy, Elsevier, vol. 75(C).
  12. Yao, Wei, 2025. "The US Quantitative Easing Monetary Policy and Commodities’ Prices," Other publications TiSEM 185d14d3-9dc2-4276-82ec-e, Tilburg University, School of Economics and Management.
  13. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joëlle Miffre, 2023. "The Negative Pricing of the May 2020 WTI Contract," The Energy Journal, , vol. 44(1), pages 119-142, January.
  14. Niaz Bashiri Behmiri & Maryam Ahmadi & Juha-Pekka Junttila & Matteo Manera, 2021. "Financial Stress and Basis in Energy Markets," The Energy Journal, , vol. 42(5), pages 67-88, September.
  15. Klein, Tony & Todorova, Neda, 2021. "Night trading with futures in China: The case of Aluminum and Copper," Resources Policy, Elsevier, vol. 73(C).
  16. Geman, Helyette & Scheiber, Matthias, 2017. "Recent experiences of copper on the Shanghai futures exchange: Some lessons for warehouse monitoring," Resources Policy, Elsevier, vol. 54(C), pages 130-136.
  17. Borkowski, Bolesław & Krawiec, Monika & Karwański, Marek & Szczesny, Wiesław & Shachmurove, Yochanan, 2021. "Modeling garch processes in base metals returns using panel data," Resources Policy, Elsevier, vol. 74(C).
  18. Omura, Akihiro & Li, Bin & Chung, Richard & Todorova, Neda, 2018. "Convenience yield, realised volatility and jumps: Evidence from non-ferrous metals," Economic Modelling, Elsevier, vol. 70(C), pages 496-510.
  19. Oliveira, Sydnei Marssal de & Ribeiro, Celma de Oliveira & Cicogna, Maria Paula Vieira, 2018. "Uncertainty effects on production mix and on hedging decisions: The case of Brazilian ethanol and sugar," Energy Economics, Elsevier, vol. 70(C), pages 516-524.
  20. Nikitopoulos, Christina Sklibosios & Squires, Matthew & Thorp, Susan & Yeung, Danny, 2017. "Determinants of the crude oil futures curve: Inventory, consumption and volatility," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 53-67.
  21. Fernandez, Viviana & Pastén-Henríquez, Boris & Tapia-Griñen, Pablo & Wagner, Rodrigo, 2023. "Commodity prices under the threat of operational disruptions: Labor strikes at copper mines," Journal of Commodity Markets, Elsevier, vol. 32(C).
  22. Gümüşsoy, Aleyna & Başyi̇ği̇t, Mikail & Uzun Kart, Elif, 2023. "Economic potential and environmental impact of metal recovery from copper slag flotation tailings," Resources Policy, Elsevier, vol. 80(C).
  23. Ma, Richie Ruchuan & Xiong, Tao, 2021. "Price explosiveness in nonferrous metal futures markets," Economic Modelling, Elsevier, vol. 94(C), pages 75-90.
  24. Oglend, Atle & Kleppe, Tore Selland, 2017. "On the behavior of commodity prices when speculative storage is bounded," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 52-69.
  25. Rettinger, Moritz & Mandl, Christian & Minner, Stefan, 2024. "A data-driven approach for optimal operational and financial commodity hedging," European Journal of Operational Research, Elsevier, vol. 316(1), pages 341-360.
  26. Dominik Boos, 2024. "Risky times: Seasonality and event risk of commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 767-783, May.
  27. Christian Mandl & Selvaprabu Nadarajah & Stefan Minner & Srinagesh Gavirneni, 2022. "Data‐driven storage operations: Cross‐commodity backtest and structured policies," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2438-2456, June.
  28. Liu, Yanqiong & Guo, Yaoqi & Wei, Qing, 2024. "Time-varying and multi-scale analysis of copper price influencing factors based on LASSO and EMD methods," Journal of Commodity Markets, Elsevier, vol. 34(C).
  29. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
  30. 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.
  31. Luiz Augusto Magalhães & Thiago Christiano Silva & Benjamin Miranda Tabak, 2022. "Hedging commodities in times of distress: The case of COVID‐19," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1941-1959, October.
  32. Fernandez, Viviana, 2016. "Futures markets and fundamentals of base metals," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 215-229.
  33. Jean-Baptiste Bonnier, 2021. "Speculation and informational efficiency in commodity futures markets," Post-Print hal-04299220, HAL.
  34. Maryam Ahmadi & Niaz Bashiri Behmiri & Matteo Manera, 2020. "The theory of storage in the crude oil futures market, the role of financial conditions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1160-1175, July.
  35. Gómez-Valle, Lourdes & López-Marcos, Miguel Ángel & Martínez-Rodríguez, Julia, 2024. "Financial boundary conditions in a continuous model with discrete-delay for pricing commodity futures and its application to the gold market," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
  36. Bonnier, Jean-Baptiste, 2021. "Speculation and informational efficiency in commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 117(C).
  37. Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2017. "Convenience yield of accessible inventories and imports: A case study of the Chinese copper market," Resources Policy, Elsevier, vol. 52(C), pages 277-283.
  38. Akihiro Omura & Neda Todorova, 2019. "The quantile dependence of commodity futures markets on news sentiment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 818-837, July.
  39. Baur, Dirk G. & Dimpfl, Thomas, 2018. "The asymmetric return-volatility relationship of commodity prices," Energy Economics, Elsevier, vol. 76(C), pages 378-387.
  40. Boos, Dominik & Grob, Linus, 2023. "Tracking speculative trading," Journal of Financial Markets, Elsevier, vol. 64(C).
  41. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
  42. Marco Taboga, 2024. "The potential macroeconomic relevance of critical materials: some preliminary evidence," Questioni di Economia e Finanza (Occasional Papers) 897, Bank of Italy, Economic Research and International Relations Area.
  43. Zhou, Yuqin & Wu, Shan & Zhang, Zeyi, 2022. "Multidimensional risk spillovers among carbon, energy and nonferrous metals markets: Evidence from the quantile VAR network," Energy Economics, Elsevier, vol. 114(C).
  44. Stepanek, Christian & Walter, Matthias & Rathgeber, Andreas, 2013. "Is the convenience yield a good indicator of a commodity's supply risk?," Resources Policy, Elsevier, vol. 38(3), pages 395-405.
  45. Jerome Geyer‐Klingeberg & Andreas W. Rathgeber, 2021. "Determinants of the WTI‐Brent price spread revisited," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 736-757, May.
  46. Mayer, Herbert & Rathgeber, Andreas & Wanner, Markus, 2017. "Financialization of metal markets: Does futures trading influence spot prices and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 300-316.
  47. 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.
  48. Omura, Akihiro & Todorova, Neda & Li, Bin & Chung, Richard, 2015. "Convenience yield and inventory accessibility: Impact of regional market conditions," Resources Policy, Elsevier, vol. 44(C), pages 1-11.
  49. Todorova, Neda & Clements, Adam E., 2018. "The volatility-volume relationship in the LME futures market for industrial metals," Resources Policy, Elsevier, vol. 58(C), pages 111-124.
  50. Sun, Xiaotian & Fang, Wei & Gao, Xiangyun & An, Sufang & Liu, Siyao & Wu, Tao, 2021. "Time-varying causality inference of different nickel markets based on the convergent cross mapping method," Resources Policy, Elsevier, vol. 74(C).
  51. Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
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