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Linear and Nonlinear Causality between Corn Cash and Futures Prices

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  • Xu Xiaojie

    (Department of Economics, North Carolina State University, Raleigh, NC, USA)

Abstract

This study investigates linear and nonlinear causality between the daily Chicago Board of Trade corn futures price series and each of seven regional cash series from Iowa, Illinois, Indiana, Ohio, Minnesota, Nebraska, and Kansas for January 2006–March 2011. Empirical results suggest bidirectional linear causality between cash and futures prices under a bivariate vector autoregressive model in differences (Bi-VAR-Diff) which consists of the futures and one of the seven cash series that are not cointegrated, and unidirectional linear causality from futures to cash prices under an octavariate vector error correction model (Octa-VECM) which consists of the futures and all of the seven cash series that are cointegrated. With linear relationships among prices removed using the Bi-VAR-Diff or Octa-VECM filtering, nonlinear causality is tested through a bivariate vector autoregressive model in levels (Bi-VAR-Lev) on residuals associated with the futures and a cash series from the linear models, and is found to be unidirectional from the futures market to Illinois, Indiana, and Ohio in general. Finally, a GARCH-BEKK specification is added to a Bi-VAR-Diff or the Octa-VECM to obtain residuals for the nonlinear causality test using a Bi-VAR-Lev, and the futures market leadership against Illinois, Indiana, and Ohio is still identified.

Suggested Citation

  • Xu Xiaojie, 2018. "Linear and Nonlinear Causality between Corn Cash and Futures Prices," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(2), pages 1-16, November.
    • Handle: RePEc:bpj:bjafio:v:16:y:2018:i:2:p:16:n:1
    DOI: 10.1515/jafio-2016-0006
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    as
    1. Brock, William A & LeBaron, Blake D, 1996. "A Dynamic Structural Model for Stock Return Volatility and Trading Volume," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 94-110, February.
    2. Cornell, Bradford, 1985. "The Weekly Pattern in Stock Returns: Cash versus Futures: A Note," Journal of Finance, American Finance Association, vol. 40(2), pages 583-588, June.
    3. Diamandis, Panayiotis F. & Georgoutsos, Dimitris A. & Kouretas, Georgios P., 2000. "The monetary model in the presence of I(2) components: long-run relationships, short-run dynamics and forecasting of the Greek drachma," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 917-941, December.
    4. Diks Cees & Panchenko Valentyn, 2005. "A Note on the Hiemstra-Jones Test for Granger Non-causality," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-9, June.
    5. Mahmoud Wahab & Malek Lashgari, 1993. "Price dynamics and error correction in stock index and stock index futures markets: A cointegration approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 711-742, October.
    6. Peter C.B. Phillips & Sam Ouliaris & Joon Y. Park, 1988. "Testing for a Unit Root in the Presence of a Maintained Trend," Cowles Foundation Discussion Papers 880, Cowles Foundation for Research in Economics, Yale University.
    7. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    8. Barry K. Goodwin & Nicholas E. Piggott, 2001. "Spatial Market Integration in the Presence of Threshold Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 302-317.
    9. Roger A. Fujihara & Mbodja Mougoué, 1997. "An examination of linear and nonlinear causal relationships between price variability and volume in petroleum futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 17(4), pages 385-416, June.
    10. Jian Yang & David A. Bessler & David J. Leatham, 2001. "Asset storability and price discovery in commodity futures markets: A new look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(3), pages 279-300, March.
    11. Dergiades, Theologos, 2012. "Do investors’ sentiment dynamics affect stock returns? Evidence from the US economy," Economics Letters, Elsevier, vol. 116(3), pages 404-407.
    12. Jian Yang & Zihui Yang & Yinggang Zhou, 2012. "Intraday price discovery and volatility transmission in stock index and stock index futures markets: Evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(2), pages 99-121, February.
    13. Lee, Chien-Chiang & Zeng, Jhih-Hong, 2011. "Revisiting the relationship between spot and futures oil prices: Evidence from quantile cointegrating regression," Energy Economics, Elsevier, vol. 33(5), pages 924-935, September.
    14. Param Silvapulle & Imad A. Moosa, 1999. "The relationship between spot and futures prices: Evidence from the crude oil market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 175-193, April.
    15. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    16. Charles M. Oellermann & B. Wade Brorsen & Paul L. Farris, 1989. "Price discovery for feeder cattle," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(2), pages 113-121, April.
    17. Dergiades, Theologos & Martinopoulos, Georgios & Tsoulfidis, Lefteris, 2013. "Energy consumption and economic growth: Parametric and non-parametric causality testing for the case of Greece," Energy Economics, Elsevier, vol. 36(C), pages 686-697.
    18. Henrik Hansen & Søren Johansen, 1999. "Some tests for parameter constancy in cointegrated VAR-models," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 306-333.
    19. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    20. Jian Yang, 2003. "Market Segmentation and Information Asymmetry in Chinese Stock Markets: A VAR Analysis," The Financial Review, Eastern Finance Association, vol. 38(4), pages 591-609, November.
    21. Francis, Bill B. & Mougoué, Mbodja & Panchenko, Valentyn, 2010. "Is there a symmetric nonlinear causal relationship between large and small firms?," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 23-38, January.
    22. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    23. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    24. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The nonlinear dynamic relationship of exchange rates: Parametric and nonparametric causality testing," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1641-1650, December.
    25. Hernandez, Manuel & Torero, Maximo, 2010. "Examining the dynamic relationship between spot and future prices of agricultural commodities," IFPRI discussion papers 988, International Food Policy Research Institute (IFPRI).
    26. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    27. David A Bessler & Jian Yang & Metha Wongcharupan, 2003. "Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs," Journal of Regional Science, Wiley Blackwell, vol. 43(1), pages 1-33, February.
    28. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    29. Colin A. Carter & Sandeep Mohapatra, 2008. "How Reliable Are Hog Futures as Forecasts?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 367-378.
    30. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    31. Richard Ajayi & Apostolos Serletis, 2009. "Testing for causality in the transmission of Eurodollar and US interest rates," Applied Financial Economics, Taylor & Francis Journals, vol. 19(6), pages 439-443.
    32. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    33. 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.
    34. Garbade, Kenneth D & Silber, William L, 1983. "Price Movements and Price Discovery in Futures and Cash Markets," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 289-297, May.
    35. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    36. Ted C. Schroeder & Barry K. Goodwin, 1991. "Price discovery and cointegration for live hogs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(6), pages 685-696, December.
    37. Thomas V. Schwarz & Andrew C. Szakmary, 1994. "Price discovery in petroleum markets: Arbitrage, cointegration, and the time interval of analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(2), pages 147-167, April.
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    More about this item

    Keywords

    corn; cash; futures; causality;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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