Investigating the effect of price process selection on the value of a metal mining asset portfolio
Mikael Collan (),
Jyrki Savolainen () and
Pasi Luukka ()
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Jyrki Savolainen: Lappeenranta University of Technology
Pasi Luukka: Lappeenranta University of Technology
Mineral Economics, 2017, vol. 30, issue 2, 107-115
Abstract This paper studies how the selection of the metal price process used and the choice of selected other modeling assumptions affect the value of a metal mining company’s mining asset portfolio. We compare results from when metal prices are assumed to be independent of each other, correlated with each other, and correlated with an external factor. These studies are carried out by using the geometric Brownian motion-based and mean-reverting metal price processes. What is also studied is the effect caused by replacing one of the portfolio metals with a typically counter cyclic metal, in this case gold. Numerical simulation analysis is made to study these issues. The results highlight the importance of correctly selecting the price processes used and corroborate some earlier findings on the topic, while also highlighting the effects of process and other modeling choices on (real) option valuation.
Keywords: Metal mining; Price process choice; gBm; Mean-reverting process; Simulation (search for similar items in EconPapers)
JEL-codes: C53 Q31 (search for similar items in EconPapers)
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