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Implication of Cotton Price Behavior on Market Integration

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  • Ge, Yuanlong
  • Wang, H. Holly
  • Ahn, Sung K.
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    Abstract

    The cotton market in China is highly interactive with international markets, especially, the US market. The prices in these two markets can reveal important market relations. Investigating the data of futures prices from the New York Board of Trade (NYBOT) and the Zhengzhou Commodity Exchange (CZCE) using several time series methods, we find a long-run cointegration relationship between these I(1) series. Furthermore, a bi-directional Granger Causality between these two futures markets is detected with Generalized Autoregressive Conditional Heteroskedasticity (GARCH) error specifications. We also find the relationship is impacted by the Chinese exchange rate policy change in the 2005.

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    Bibliographic Info

    Paper provided by NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management in its series 2008 Conference, April 21-22, 2008, St. Louis, Missouri with number 37623.

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    Date of creation: 2008
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    Handle: RePEc:ags:nccest:37623

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    Related research

    Keywords: cotton futures prices; cointegration; granger causality test; AR-GARCH.; Agricultural Finance;

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    1. James G. MacKinnon & Alfred A. Haug & Leo Michelis, 1996. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Working Papers 1996_07, York University, Department of Economics.
    2. BAUWENS, Luc & DEPRINS, Dominique & VANDEUREN, Jean-Pierre, 1997. "Modelling interest rates with a cointegrated VAR-GARCH model," CORE Discussion Papers 1997080, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. 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 1057-72, June.
    4. Jian Yang & Jin Zhang & David J. Leatham, 2003. "Price and Volatility Transmission in International Wheat Futures," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 37-50, May.
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