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Long-term iron ore price modeling: Marginal costs vs. incentive price

机译:长期铁矿石价格模型:边际成本与激励价格

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摘要

The paper studies and applies the approaches to forecast long-term (IT) real prices of iron ore. This price is crucial for valuation of investments in Greenfield iron ore projects on the horizon of more than 5 years. The forecast is obtained by three different approaches which are usually used by investment bank analysts: marginal costs approach and 2 approaches based on calculation of incentive price. The paper concludes that there has been a structural shift on the iron ore market and IT iron ore prices will be higher by 20-30% than the average of industry forecasters suggest. This is related to the 2 key factors which were taken into account in this study-depletion of existing iron ore deposits and targeted return on investments for new projects. In addition, escalated industry costs inflation is claimed to be the factor which will bolster nominal iron ore prices at high levels in the long-term. Using a Monte-Carlo simulation approach, confidence interval for future iron ore price was estimated.
机译:本文研究并应用了这些方法来预测铁矿石的长期(IT)实际价格。这个价格对于5年以上的Greenfield铁矿石项目投资价值至关重要。该预测是通过投资银行分析师通常使用的三种不同方法获得的:边际成本方法和两种基于激励价格计算的方法。该论文的结论是,铁矿石市场已经发生了结构性转变,IT铁矿石价格将比行业预测家的平均水平高出20-30%。这与本研究中考虑的两个关键因素有关,即现有铁矿石矿床的枯竭和新项目的目标投资回报。此外,据称,工业成本上涨是长期来看将推动名义铁矿石价格高位上涨的因素。使用蒙特卡洛模拟方法,估计了未来铁矿石价格的置信区间。

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