The paper aims consists of modelling the cotton price index in China to determine the dependency of the previous increase in cotton prices on stocks and imports of cotton in the internal market during the sample period from 1991 to 2014. The paper opted for an empirical study using the time-series Vector Error Correction Model (VECM) framework. The paper provides empirical insights about the innovation of cotton price in domestic market of the China. It suggests that there are bidirectional relationships among the price and the stock in a system. It suggests also that cotton imports serve a significant role in the price index of current trends relative to future stocks. Thus, we concluded that the previous high cotton prices in China were attributed to the previous need to increase cotton stocks but not directly via the import of cotton; however, the latter may have a significant role in the future.
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Alexander C. 2001. Market models: A guide to financial data analysis. John Wiley & Sons Ltd Impulse Response Analysis in Vector Autoregressions with Unknown Lag Order J. Forecast.20, 161-179
Dickey D, Fuller W. 1979. Distribution of the estimators for autoregressive time series with a Unit Root. J. the American Statistical Association, 74(366): 427-431
Diebold, F.X., Gunther, T. and Tay, A. 1998. Evaluating Density Forecasts with Application to Financial Risk Management, International Economic Review, 39, 863-883
Said, S, Dickey D. 1984. Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika 71: 599-607
Jin-Lung Lin. 2006. Teaching Notes on Impulse Response Function and Structural VAR National Chengchi University May 2
Johansen, S, Juselius K. 1990. Maximum likelihood estimation and inference on cointegration with application to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2): 169-210.
Johansen S. 1988. Statistical analysis of cointegrating vectors. Journal of Economic Dynamic and Control 231-254.
Jordà Ò, Salyer KD. 2004. Estimation and Inference of Impulse Responses by Local Projections, Review of Economic Dynamics, August
NBS. 1991-2014. National Bureau of Statistics, China’s Statistical Year-book. Statistic Publishing House, Beijing
Phillips PC, Perron P. 1988. Testing for a unit root in time series regression. Biometrika, 75(2): 335-346.
Ralf P, David V. 2004. Agricultural Trade Policy Simulation Model (ATPSM), New York and Geneva, August
Stephen M, Fred G, James H. 2015. Cotton Policy in China, CWS-15c- 01 Economic Research Service/USDA, March
Tisdell CA. 1979. Economics of Fibre Markets. Pergamon Press, Oxford and New York.
USDA. 2014. Outlook Forum February 21, 2014 Washington, DC Shapiro, S.S (1980) How to test normality and other distributional assumptions. In: The ASQC basic references in quality control: statistical techniques 3, pp. 1–78.