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Influencing Factors of Aluminum Futures Price and Forecast Arbitrage

Xiejin Lou

Abstract


With the rapid development of China’s social economy, the development of related industries has driven the rapid growth of aluminum consumption. As the second largest metal, aluminum products have been integrated into real life and widely used in aerospace, construction, transportation, electricity, packaging and other fields. This paper takes Shanghai Aluminum Continuous Futures (AL7777) as an example to study its influencing factors and arbitrage possibilities.


Keywords


Aluminum Futures; Simultaneous Equation Model; AR Model; Cross-Commodity Arbitrage

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References


Yao G. An empirical analysis of the impact of ladder water price policy on urban residents’ water demand (in Chinese). Beijing Jiaotong University 2017.

Chen X, Xu S. Influencing factors of price fluctuations of primary aluminum and countermeasure. Prices Monthly 2014; (1): 16–19.

Yao X. Main factors affecting the price changes of Shanghai Aluminum (in Chinese). China Metal Bulletin 2011; (32): 32–33.

Song X. Analysis of factors affecting aluminum prices (in Chinese). China Metal Bulletin 2013; (37): 38–41.

Wang Y, Sun J. Analysis and research on copper and aluminum futures cross-commodity arbitrage (in Chinese). Journal of Hubei University of Economics (Humanities and Social Sciences) 2013; 10(1): 45–47.

Kong Q, Lu J. Aluminum: The relationship between supply and demand has improved (in Chinese). China Metal Bulletin 2011; (6): 25–27.

Liu W. Analysis of volatility spillover effects among my country’s copper, aluminum and rebar futures markets (in Chinese). Dongbei University of Finance & Economics 2017.

Zhang M. Simultaneous equation model of Shanghai food export trade (in Chinese). Mathematics in Economics 1986; (3): 80–88.

Yang B, Liu W. Study of ARIMA time series model in aluminum price prediction. Light Metals 2018; (5): 1–5.

Wei H, Zhang Y, Zhang L. Defense cost forecast based on ARMA time series model. Ordnance Industry Automation 2018; 37(12): 67–70.




DOI: http://dx.doi.org/10.18686/fm.v5i3.2117

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