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Implication of Cotton Price Behavior on Market Integration

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Author Info
Ge, Yuanlong
Wang, Holly H.
Ahn, Sung K.
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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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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Keywords: cotton futures prices; cointegration; granger causality test; AR-GARCH.; Agricultural Finance;

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  1. 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. [Downloadable!] (restricted)
  2. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-77, Sept.-Oct. [Downloadable!]
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  3. Paresh Kumar Narayan & Russell Smyth, 2004. "Temporal Causality and the Dynamics of Exports, Human Capital and Real Income in China," The International Journal of Applied Economics, Department of General Business, Southeastern Louisiana University, vol. 1(1), pages 24-45, September. [Downloadable!]
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