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An analysis of the market efficiency of the Chinese copper futures based on intertemporal and intermarket arbitrages

Author

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  • Zhang, Huiming
  • Qian, Siji
  • Ma, Zhen

Abstract

This paper studies the market efficiency and relevant issues of the copper futures traded on the Shanghai Futures Exchange (SHFE) in China. Since its listing, the market, grown unceasingly in scale and internationalization level, has become the largest copper futures trading market in the world (the London Metal Exchange (LME) copper futures market is the second largest). Using the data from 2006 to 2022 as a sample, a period covering the outbreak of the COVID-19 pandemic and the internationalization of the Chinese copper futures, this paper analyzes the market efficiency of China’s copper futures based on both intertemporal and intermarket strategies (SHFE Copper Futures and LME Copper Futures, with considering time difference factor). To better reflect the actual situation, this paper, when establishing trading strategy models, not only took into account various actual trading factors such as transaction costs, market impact costs, liquidity costs, margin, and capital costs but also combined daily and high-frequency data to present highly practical arbitrage strategies. According to empirical results, overall, it was not found significant arbitrage opportunities to violate the market efficiency rule. Although some arbitrage opportunities indeed emerged, they were infrequent, especially when transaction costs were considered. Specifically, in terms of the intertemporal strategy, despite that infrequent arbitrage opportunities did appear in the SHFE copper futures market, they failed to bring substantial gains, some of which even caused losses in extreme cases. In terms of the intermarket strategy, there is a cointegration relationship between the logarithmic price of LME copper futures and the logarithmic price of SHFE copper futures. The average annualized rates of return in the results of the in-sample empirical analysis were high, but in the out-of-sample empirical analysis of high frequency and daily data were not found significant arbitrage opportunities. The influence between the LME copper futures market and the SHFE copper futures market was bidirectional.

Suggested Citation

  • Zhang, Huiming & Qian, Siji & Ma, Zhen, 2024. "An analysis of the market efficiency of the Chinese copper futures based on intertemporal and intermarket arbitrages," International Review of Financial Analysis, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001753
    DOI: 10.1016/j.irfa.2024.103243
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    as
    1. Li, Yang & Brooks, Robert, 2022. "Evidence of arbitrage trading activity: The case of Chinese metal futures contracts," Emerging Markets Review, Elsevier, vol. 51(PB).
    2. Dong, Chaohua & Linton, Oliver, 2018. "Additive nonparametric models with time variable and both stationary and nonstationary regressors," Journal of Econometrics, Elsevier, vol. 207(1), pages 212-236.
    3. Baoqiang Zhan & Shu Zhang & Helen S. Du & Xiaoguang Yang, 2022. "Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 861-882, October.
    4. Hain, Martin & Hess, Julian & Uhrig-Homburg, Marliese, 2018. "Relative value arbitrage in European commodity markets," Energy Economics, Elsevier, vol. 69(C), pages 140-154.
    5. Bilgili, Faik, 1998. "Stationarity and cointegration tests: Comparison of Engle - Granger and Johansen methodologies," MPRA Paper 75967, University Library of Munich, Germany.
    6. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    7. Lei Cui & Ke Huang & H.J. Cai, 2015. "Application of a TGARCH-wavelet neural network to arbitrage trading in the metal futures market in China," Quantitative Finance, Taylor & Francis Journals, vol. 15(2), pages 371-384, February.
    8. Kamara, Avraham & Miller, Thomas W., 1995. "Daily and Intradaily Tests of European Put-Call Parity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(4), pages 519-539, December.
    9. Liyan Han & Rong Liang & Ke Tang, 2013. "Cross-market soybean futures price discovery: does the Dalian Commodity Exchange affect the Chicago Board of Trade?," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 613-626, March.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Ackert, Lucy F. & Tian, Yisong S., 2001. "Efficiency in index options markets and trading in stock baskets," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1607-1634, September.
    12. Xu Gong & Boqiang Lin, 2018. "Structural breaks and volatility forecasting in the copper futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 290-339, March.
    13. Cornell, Bradford & French, Kenneth R, 1983. "Taxes and the Pricing of Stock Index Futures," Journal of Finance, American Finance Association, vol. 38(3), pages 675-694, June.
    14. Marcelo Perlin & Alfonso Dufour & Chris Brooks, 2014. "The determinants of a cross market arbitrage opportunity: theory and evidence for the European bond market," Annals of Finance, Springer, vol. 10(3), pages 457-480, August.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. Evan Gatev & William N. Goetzmann & K. Geert Rouwenhorst, 2006. "Pairs Trading: Performance of a Relative-Value Arbitrage Rule," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 797-827.
    17. Fung, Hung-Gay & Tse, Yiuman & Yau, Jot & Zhao, Lin, 2013. "A leader of the world commodity futures markets in the making? The case of China's commodity futures," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 103-114.
    18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    19. Matthew Clegg & Christopher Krauss, 2018. "Pairs trading with partial cointegration," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 121-138, January.
    20. Bradford Cornell & Kenneth R. French, 1983. "The pricing of stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 3(1), pages 1-14, March.
    21. Zehai Li & Lawrence Huiyan Zhang, 2013. "An Empirical Study of International Linkages of the Shanghai Copper Futures Market," Chinese Economy, Taylor & Francis Journals, vol. 46(3), pages 61-74, May.
    22. Renhai Hua & Baizhu Chen, 2007. "International linkages of the Chinese futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 17(16), pages 1275-1287.
    23. Guo, Yaoqi & Yao, Shanshan & Cheng, Hui & Zhu, Wensong, 2020. "China's copper futures market efficiency analysis: Based on nonlinear Granger causality and multifractal methods," Resources Policy, Elsevier, vol. 68(C).
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    More about this item

    Keywords

    Shanghai Futures Exchange (SHFE); London Metal Exchange (LME); Copper futures market; Market efficiency; Intertemporal arbitrage; Intermarket arbitrage;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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