Estimation of Mining Project Values Through Real Option Valuation Using a Combination of Hedging Strategy and a Mean Reversion Commodity Price
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Cash flows generated from mining projects are typically highly volatile and significantly influenced by a number of exogenous factors including commodity price as one of the most influential uncertainties. In addition, mining projects are complex and many of their executed investment decisions are irreversible. Therefore, management needs to address this potential risk exposure before making an investment decision. Due to the deterioration and fluctuation of mineral commodity prices for a successful mining project acquisition or development, an important and appropriate investment strategy should include a hedging strategy for reducing potential losses suffered by a company. The discounted cash flow methods, which are commonly used to calculate mining project values, often fail to respond to this identified economic uncertainty and also to incorporate de-risking hedging strategies. Therefore, this study approximates the numerical value or value ranges of a mining project considering the combination of a mean reverting commodity price and hedging strategies using continuous time modeling. A novel time-dependent partial differential equation has been proposed using a continuous time, mean reverting model, and hedging strategy to approximate the mining project value. Application of a new real options valuation technique demonstrated its superiority by providing the advantage of mitigating financial losses and procuring financial gains. In this study, some key results are deferral option and expansion option enhanced the maximum values of the project which are, respectively, 2.51 % and 4.4 % compared to the base case. Furthermore, the country risk has a great impact on project values, as when we considered the country risk premium is zero in our model, the project value increases up to 0.97 %.
KeywordsReal option Hedging Futures contract Partial differential equation Finite difference method
The first acknowledgement goes to Curtin University who provided research scholarship for this research. We also acknowledge the anonymous journal reviewers for their helpful comments and suggestions, and also the editor- in-chief of the journal Dr. John Carranza, for his valuable comments and editing of the earlier version of this manuscript which greatly helped to improve this paper.
- Asad, M., & Topal, E. (2011). Production scheduling of open pit mining operations through cutoff grade optimization. South African Institute of Mining and Metallurgy, 111(11), 741–750.Google Scholar
- Brennan, M. J., & Trigeorgis, L. (Eds.). (2000). Project flexibility, agency and competition: New developments in the theory and application of real options. New York: Oxford University Press.Google Scholar
- Colwell, D., Henker, T., Ho, J., & Fong, K. (2003). Real option valuation of Australian gold mines and mining companies. The Journal of Alternative Investments, 23–38.Google Scholar
- Copeland, T. E., & Antikarov, V. (2001). Real options: A practitioner’s guide. New York: Texere.Google Scholar
- Dixit, A., & Pindyck, R. (1994). Investment under uncertainty. Princeton: Princeton University Press.Google Scholar
- Fitzgerald, B. (2014). Weaker dollar cushions gold producers from slump. The Australian Business Review. Retrieved November 5, 2015 from http://www.theaustralian.com.au/business/mining-energy/weaker-dollar-cushions-gold-producers-from-slump/story-e6frg9df-1227140228587.
- Hall, J., & Nicholls, S. (2007). Valuation of mining projects using option pricing techniques. JASSA The Finsia Journal of Applied Finance, 4, 22–29.Google Scholar
- KITCO. (2014). Sources of historical gold prices data. Retrieved July 5, 2015 from http://www.kitco.com/.
- Musingwini, C., Minnitt, R., & Woodhall, M. (2007). Technical operating flexibility in the analysis of mine layouts and schedules. Journal South African Institute of Mining and Metallurgy, 107, 129–136.Google Scholar
- Sabour, S. A., & Wood, G. (2009). Modelling financial risk in open pit mine projects: implications for strategic decision- making. Journal South African Institute of Mining and Metallurgy, 109, 169–175.Google Scholar
- Shafiee, S., & Topal, E. (2008a). Applied real option valuation (ROV) in a conceptual mining project, Proceeding of the 2008 Australian Mining Technology Conference (pp. 173–187). Queensland: CRC Mining.Google Scholar
- Trench, A., & Sykes, J. P. (2014). Perspectives on mineral commodity price cycles and their relevance to underground mining. 12th AusIMM Underground Operators’ Conference/Adelaide, South Australia (pp. 24–26 ).Google Scholar
- Trigeorgis, L. (1996). Real options: Managerial flexibility and strategy in resource allocation. Cambridge: The MIT Press.Google Scholar
- Trigeorgis, L. (Ed.). (2000). Real options and business strategy: Applications to decision making. London: Risk Books.Google Scholar
- Williams, L. (2015). What next for gold. Retrieved November 3, 2015 from http://www.miningaustralia.com.au/features/what-next-for-gold.
- Zhang, K., Nieto, A., & Kleit, A. N. (2014). The real option value of a mining operations using mean-reverting commodity prices. Mineral Economics, 28, 1–12.Google Scholar
- Zhu, L., Zhang, Z. X., & Fan, Y. (2012). An evaluation of overseas oil investment projects under uncertainty using a real option based simulation model. Fondazione Eni Enrico Working Papers. Paper 634. Retrived October 15, 2015 from http://services.bepress.com/feem/paper634.