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The real option value of mining operations using mean-reverting commodity prices

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Abstract

By determining the optimal price threshold of mining activation, this research aims at estimating a mine’s in situ value by incorporating its real option value (ROV). The traditional discounted cash flow (DCF) method, the standard tool for economic feasibility studies in mineral industry, can be problematic since it fails to address uncertainties and operational flexibilities (Trigeorgis Adv Futures Options Res 4:S1537164, 1990; Schwartz J Financ 3:923–973, 1997; Slade J Environ Econ Manag 41:193–233, 2001; Abdel Sabour and Dimitrakopoulos J Min Sci 47(2):191–201, 2011). DCF normally results in under-evaluation when significant price variability is present in commodity prices such as gold, silver, copper, and recently rare earths. A mining project is more valuable in expected value terms if it is activated following an appropriately chosen price threshold. In this work, the commodity price is modeled using a mean-reverting process, which is more relevant to commodity economics than the generally used Geometric Brownian motion process (Pindyck and Rubinfeld 1991). It is shown that the value of flexibility is significant and peaks when mining cost equals spot price; the exercising price threshold increases as average cost rises and probabilities of exercising the option are estimated. ROV method provides a tractable and realistic scheme to evaluate a mine’s in situ value and a strategy to manage mining activities.

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References

  • Abdel Sabour A, Dimitrakopoulos R (2011) Incorporating geological and market uncertainties and operational flexibility into open-pit mine design. J Min Sci 47(2):191–201

    Google Scholar 

  • Bengtsson J (2001) Manufacturing flexibility and real options: a review. Int J Prod Econ 74:213–24

    Google Scholar 

  • Botin JA, Castillo MFD (2013) Guzman RR (2013) using real options to manage technical risk in life of mine planning: application at Chuquicamata underground copper mine. SME Annual Meeting Denver CO, Chile

    Google Scholar 

  • Brennan MJ, Schwartz ES (1985) Evaluating natural resource investments. J Bus 58(2):135–57

    Google Scholar 

  • Cortazar G, Casassus J (1998) Optimal timing of a mine expansion: implementing a real option model. Q Rev Econ Financ 38:755–69

    Google Scholar 

  • Dimitrakopoulos RG, Sabour SAA (2007) Evaluating mine plans under uncertainty: can the real option make a difference? Res Policy 32(3):116–25

    Google Scholar 

  • Dixit A, Pindyck R (1994) Investment under uncertainty. NJ, Princeton

    Google Scholar 

  • DOE (2007) Mining industry energy bandwidth study. Prepared by BCS, Incorporated

  • Elkington T, Gould J (2011) Optimization with options. Min Tech 120(4):233–40

    Google Scholar 

  • Gillespie DT (1996) Exact numerical simulation of the Ornstein-Uhlenbeck process and its integral. Phys Rev 54(2):2084–91

    Google Scholar 

  • Hahn W, Dyer J (2011) A discrete time approach for modeling two-factor mean-reverting stochastic processes. Decis Anal 8(3):220–32

    Google Scholar 

  • Hall J, Nicholls S (2007) Valuation of mining projects using option pricing techniques. JASSA 4:22–29

    Google Scholar 

  • Hull J (2003) Options futures and other derivatives. Prentice Hall, Upper Saddle River, NJ (2003, 3rd edition)

  • Lemelin B, Sabour SA, Poulin R (2007) A flexible mine production model based on stochastic price stimulations: application at Raglan mine, Canada. Min Tech 116(4):158–66

    Google Scholar 

  • Longstaff F, Schwartz E (2001) Valuing American options by simulation: a simple least-squares approach. Rev Financ Stud 14(1):113–147

  • Mayer Z, Kazakidis V (2007) Decision making in flexible mine production system design using real options. J Constr Eng M ASCE 133(2):169–80

    Google Scholar 

  • McCarthy J, Monkhouse P (2003) To open or not to open—or what to do with a closed copper mine. J Appl Corp Financ 15(2):63–73

    Google Scholar 

  • McDonald R, Siegel D (1986) The value of waiting to invest. Q J Econ 101(4):707–28

    Google Scholar 

  • Moel A, Tufano P (2002) When are real options exercised? An empirical study of mining closings. Rev Financ Stud 15(1):35–64

    Google Scholar 

  • Nieto A, Zhang KY (2013) Cutoff grade economic strategy for byproduct mineral commodity operation: rare earth case study. Min Tech 122(3):166–71

    Google Scholar 

  • Pindyck R, Rubinfeld D (1991) Econometric models and economic forecasts. McGraw-Hill, New York

    Google Scholar 

  • Samis M, Davis G, Laughton D, Poulin R (2006) Valuing uncertain asset cash flows when there are no options: a real option research. Res Policy 30:285–98

    Google Scholar 

  • Schwartz E (1997) The stochastic behavior of commodity prices: implications for valuation and hedging. J Financ 3:923–973

    Google Scholar 

  • Slade M (2001) Valuing managerial flexibility: an application of real option theory to mining investment. J Environ Econ Manag 41:193–233

    Google Scholar 

  • Trigeorgis L (1990) A real options application in natural resource investments. Adv Futures Options Res 4, S1537164

    Google Scholar 

  • Wooldridge J (2000) Introductory econometrics: a modern approach. South-Western, Cincinnati

    Google Scholar 

Download references

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Correspondence to Kuangyuan Zhang.

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Zhang, K., Nieto, A. & Kleit, A.N. The real option value of mining operations using mean-reverting commodity prices. Miner Econ 28, 11–22 (2015). https://doi.org/10.1007/s13563-014-0048-6

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  • DOI: https://doi.org/10.1007/s13563-014-0048-6

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