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China’s soybean crush spread: Nonlinear analysis based on MF-DCCA

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  • Ruan, Qingsong
  • Cui, Hao
  • Fan, Liming

Abstract

In this paper, we investigate cross-correlations among the soybean, soymeal, and soyoil futures return series at China’s Dalian Commodity Exchange using both multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DCCA) methods. We find that there exists multifractality in the soybean, soymeal and soyoil futures return series using MF-DFA method. Moreover, results of MF-DCCA demonstrate that there exists a power-law cross-correlation and significant multifractal features among soybean, soymeal and soyoil futures returns. Furthermore, by comparing the multifractality of the original series to the shuffled and surrogated series, we find that both the long-range correlations and fat-tailed distribution contribute to the multifractality in cross-correlation among soybean, soymeal and soyoil futures return series in Dalian Commodity Exchanges. Furthermore, we use nonlinear Granger causality test and show that anyone of the three products returns is the Granger cause of the other two products returns.

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  • Ruan, Qingsong & Cui, Hao & Fan, Liming, 2020. "China’s soybean crush spread: Nonlinear analysis based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    • Handle: RePEc:eee:phsmap:v:554:y:2020:i:c:s0378437119321648
    DOI: 10.1016/j.physa.2019.123899
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    as
    1. Marco Corazza & A.G. Malliaris & Carla Nardelli, 1997. "Searching for fractal structure in agricultural futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 17(4), pages 433-473, June.
    2. Wen-Jie Xie & Zhi-Qiang Jiang & Gao-Feng Gu & Xiong Xiong & Wei-Xing Zhou, 2015. "Joint multifractal analysis based on the partition function approach: Analytical analysis, numerical simulation and empirical application," Papers 1509.05952, arXiv.org.
    3. Power, Gabriel J. & Turvey, Calum G., 2010. "Long-range dependence in the volatility of commodity futures prices: Wavelet-based evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 79-90.
    4. Ted C. Schroeder & Marvin L. Hayenga, 1988. "Comparison of selective hedging and options strategies in cattle feedlot risk management," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(2), pages 141-156, April.
    5. Chen, Shu-Peng & He, Ling-Yun, 2010. "Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1434-1444.
    6. Pawe{l} O'swic{e}cimka & Stanis{l}aw Dro.zd.z & Marcin Forczek & Stanis{l}aw Jadach & Jaros{l}aw Kwapie'n, 2013. "Detrended Cross-Correlation Analysis Consistently Extended to Multifractality," Papers 1308.6148, arXiv.org, revised Feb 2014.
    7. Hiemstra Craig & Kramer Charles, 1997. "Nonlinearity and Endogeneity in Macro-Asset Pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(3), pages 1-18, October.
    8. John B. Mitchell, 2010. "Soybean Futures Crush Spread Arbitrage: Trading Strategies and Market Efficiency," JRFM, MDPI, vol. 3(1), pages 1-34, December.
    9. Zhi-Qiang Jiang & Wei-Xing Zhou, 2011. "Multifractal detrending moving average cross-correlation analysis," Papers 1103.2577, arXiv.org, revised Mar 2011.
    10. Yuan, Ying & Zhuang, Xin-tian & Jin, Xiu, 2009. "Measuring multifractality of stock price fluctuation using multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2189-2197.
    11. Geoffrey Poitras, 1987. "“Golden turtle tracks”: In search of unexploited profits in gold spreads," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(4), pages 397-412, August.
    12. Shafer, Carl E. & Griffin, Wade L. & Johnston, Larry D., 1978. "Integrated Cattle Feeding Hedging Strategies, 1972-1976," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 10(2), pages 35-42, December.
    13. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
    14. Onali, Enrico & Goddard, John, 2009. "Unifractality and multifractality in the Italian stock market," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 154-163, September.
    15. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    16. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    17. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    18. David P. Simon, 1999. "The soybean crush spread: Empirical evidence and trading strategies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(3), pages 271-289, May.
    19. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    20. Wei-Xing Zhou, 2008. "Multifractal detrended cross-correlation analysis for two nonstationary signals," Papers 0803.2773, arXiv.org.
    21. Gu, Rongbao & Chen, Hongtao & Wang, Yudong, 2010. "Multifractal analysis on international crude oil markets based on the multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(14), pages 2805-2815.
    22. El Alaoui, Marwane & Benbachir, Saâd, 2013. "Multifractal detrended cross-correlation analysis in the MENA area," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5985-5993.
    23. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    24. Kaushik Matia & Yosef Ashkenazy & H. Eugene Stanley, 2003. "Multifractal Properties of Price Fluctuations of Stocks and Commodities," Papers cond-mat/0308012, arXiv.org.
    25. Marco Corazza & A. Malliaris & Elisa Scalco, 2010. "Nonlinear Bivariate Comovements of Asset Prices: Methodology, Tests and Applications," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 1-23, January.
    26. He, Ling-Yun & Chen, Shu-Peng, 2011. "Multifractal Detrended Cross-Correlation Analysis of agricultural futures markets," Chaos, Solitons & Fractals, Elsevier, vol. 44(6), pages 355-361.
    27. Cao, Guangxi & Cao, Jie & Xu, Longbing, 2013. "Asymmetric multifractal scaling behavior in the Chinese stock market: Based on asymmetric MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 797-807.
    28. Wang, Yudong & Liu, Li & Gu, Rongbao, 2009. "Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 271-276, December.
    29. Cao, Guangxi & Xu, Longbing & Cao, Jie, 2012. "Multifractal detrended cross-correlations between the Chinese exchange market and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4855-4866.
    30. David Kenyon & John Clay, 1987. "Analysis of profit margin hedging strategies for hog producers," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(2), pages 183-202, April.
    31. Adrian S. Yano, 1989. "Configurations for arbitrage using financial futures contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(5), pages 439-448, October.
    32. Shafer, Carl E. & Griffin, Wade L. & Johnston, Larry D., 1978. "Integrated Cattle Feeding Hedging Strategies, 1972-1976," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 10(2), pages 1-8, December.
    33. Jiang, J. & Ma, K. & Cai, X., 2007. "Non-linear characteristics and long-range correlations in Asian stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(2), pages 399-407.
    34. Robert L. Johnson & Carl R. Zulauf & Scott H. Irwin & Mary E. Gerlow, 1991. "The soybean complex spread: An examination of market efficiency from the viewpoint of a production process," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(1), pages 25-37, February.
    35. Wang, Yudong & Liu, Li, 2010. "Is WTI crude oil market becoming weakly efficient over time?: New evidence from multiscale analysis based on detrended fluctuation analysis," Energy Economics, Elsevier, vol. 32(5), pages 987-992, September.
    36. Dominic Rechner & Geoffrey Poitras, 1993. "Putting on the crush: Day trading the soybean complex spread," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(1), pages 61-75, February.
    37. P. Norouzzadeh, 2005. "A Multifractal Detrended Fluctuation Description of Iranian Rial-US Dollar Exchange Rate," Papers physics/0502150, arXiv.org.
    38. Xi-Yuan Qian & Ya-Min Liu & Zhi-Qiang Jiang & Boris Podobnik & Wei-Xing Zhou & H. Eugene Stanley, 2015. "Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces," Papers 1504.02435, arXiv.org, revised Apr 2015.
    39. Li, Wei & Lu, Xinsheng & Ren, Yongping & Zhou, Ying, 2018. "Dynamic relationship between RMB exchange rate index and stock market liquidity: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 726-739.
    40. Cao, Guangxi & Cao, Jie & Xu, Longbing & He, LingYun, 2014. "Detrended cross-correlation analysis approach for assessing asymmetric multifractal detrended cross-correlations and their application to the Chinese financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 460-469.
    41. Zunino, L. & Tabak, B.M. & Figliola, A. & Pérez, D.G. & Garavaglia, M. & Rosso, O.A., 2008. "A multifractal approach for stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6558-6566.
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