2018
DOI: 10.4236/me.2018.911120
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The Mechanism of Imported Iron Ore Price in China

Abstract: This study analyzes the relationship and the issues between iron ore market from demand and supply side. It empirically explains how and why the import iron ore price in China fluctuates through Baltic Dry Index, Dollar Index, iron ore production, volume of import iron ore, and also compares the forecast ability between Vector Error Corrected Model (VECM) and ARIMA model. This paper concludes the following finds. Firstly, there is no structural break and seasonality. The data are first degree stationary and ha… Show more

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Cited by 5 publications
(2 citation statements)
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“…predicted the monthly price of iron ore in 2014 -2015 by using exponential smoothing and combining three supply-demand conditions. In 2018, Fu Zhijie [3] analyzes the relationship and the issues between iron ore market from demand and supply side. He empirically explains how and why the import iron ore price in China fluctuates through Baltic Dry Index, Dollar Index, iron ore production and volume of import iron ore, and also proves that Vector Error Corrected Model (VECM) outperforms ARIMA model in forecast ability assessment.…”
Section: Related Workmentioning
confidence: 99%
“…predicted the monthly price of iron ore in 2014 -2015 by using exponential smoothing and combining three supply-demand conditions. In 2018, Fu Zhijie [3] analyzes the relationship and the issues between iron ore market from demand and supply side. He empirically explains how and why the import iron ore price in China fluctuates through Baltic Dry Index, Dollar Index, iron ore production and volume of import iron ore, and also proves that Vector Error Corrected Model (VECM) outperforms ARIMA model in forecast ability assessment.…”
Section: Related Workmentioning
confidence: 99%
“…The market price for iron ore is set by the iron content in it, and by the successful export and, thus, profitability. Thus, it is necessary to maintain quality characteristics in order to avoid losing competitiveness of the iron ore in the market (Fu, 2018).…”
mentioning
confidence: 99%