Prospects for the 2020 Iron Ore Market Quantitative Analysis of Market Dynamics and Risk Mitigation Strategies

As the key ingredient for steelmaking, iron ore is integral to the global economy and represents the world's second-largest natural resource market by value. The overall structure and dynamics of the iron ore market have recently undergone various radical changes. The global demand shock caused...

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Bibliographic Details
Main Author: Bielitza, Marc P.
Format: eBook
Language:German
Published: Mering Edition Rainer Hampp 2012, 2012
Edition:1. Auflage; 91 schw.-w. Ill., 15 schw.-w. Tab
Series:Schriften zu MANAGEMENT, ORGANISATION UND INFORMATION
Subjects:
Online Access:
Collection: wiso-net eBooks - Collection details see MPG.ReNa
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653 |a linear optimization 
653 |a risk 
653 |a pricing 
653 |a export taxes 
653 |a trade 
653 |a steelmaking 
653 |a China 
653 |a mining 
653 |a captivity 
653 |a steel 
653 |a freight 
653 |a market dynamics 
653 |a Iron ore 
653 |a industry cost curve 
653 |a market simulation 
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520 |a As the key ingredient for steelmaking, iron ore is integral to the global economy and represents the world's second-largest natural resource market by value. The overall structure and dynamics of the iron ore market have recently undergone various radical changes. The global demand shock caused by the rapid industrialization of China has sent market prices skywards and triggered a collapse of the 40-year-old benchmark pricing system. The newly adopted quarterly index-based pricing mechanism has brought an abrupt end to the traditional stability of the iron ore market, with price dynamics now experiencing greater volatility. Against the backdrop of these disruptive changes, this dissertation proposes a deterministic nine-region spatial equilibrium model of the 2020 iron ore market based on the fundamental characteristics and mechanics of the market. Key features of the model are its bottom-up structure, modeling supply volumes and costs on an individual mine level as well as the simulation of interregional trade flows using a linear optimization approach. In analyzing a number of relevant scenarios, this dissertation projects the key characteristics of the 2020 global iron ore market in terms of regional production volumes, demand, iron ore trade flows and market prices. It quantifies market dynamics based on changes in available production capacity, demand and freight rates. From a demand perspective, the dissertation proposes several strategies to mitigate the risk arising from higher and more volatile iron ore prices. Of these strategies, the captivity of mines and the introduction of iron ore export taxes are analyzed in greater detail with respect to their effectiveness and influence on the iron ore market