IDEAS home Printed from https://ideas.repec.org/a/spr/minecn/v30y2017i2d10.1007_s13563-017-0102-2.html
   My bibliography  Save this article

Investigating the effect of price process selection on the value of a metal mining asset portfolio

Author

Listed:
  • Mikael Collan

    (Lappeenranta University of Technology)

  • Jyrki Savolainen

    (Lappeenranta University of Technology)

  • Pasi Luukka

    (Lappeenranta University of Technology)

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.

Suggested Citation

  • Mikael Collan & Jyrki Savolainen & Pasi Luukka, 2017. "Investigating the effect of price process selection on the value of a metal mining asset portfolio," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 30(2), pages 107-115, July.
    • Handle: RePEc:spr:minecn:v:30:y:2017:i:2:d:10.1007_s13563-017-0102-2
    DOI: 10.1007/s13563-017-0102-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13563-017-0102-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13563-017-0102-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Labys, W. C. & Achouch, A. & Terraza, M., 1999. "Metal prices and the business cycle," Resources Policy, Elsevier, vol. 25(4), pages 229-238, December.
    2. Mariusz Krzak, 2013. "The Evaluation Of An Ore Deposit Development Prospect Through Application Of The "Games Against Nature" Approach," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 30(06), pages 1-18.
    3. Graham A. Davis, 1996. "Option Premiums in Mineral Asset Pricing: Are They Important?," Land Economics, University of Wisconsin Press, vol. 72(2), pages 167-186.
    4. Roberts, Mark C., 2009. "Duration and characteristics of metal price cycles," Resources Policy, Elsevier, vol. 34(3), pages 87-102, September.
    5. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    6. Moyen, Nathalie & Slade, Margaret & Uppal, Raman, 1996. "Valuing risk and flexibility : A comparison of methods," Resources Policy, Elsevier, vol. 22(1-2), pages 63-74.
    7. Humphreys, David, 2010. "The great metals boom: A retrospective," Resources Policy, Elsevier, vol. 35(1), pages 1-13, March.
    8. Jaime Casassus & Pierre Collin‐Dufresne, 2005. "Stochastic Convenience Yield Implied from Commodity Futures and Interest Rates," Journal of Finance, American Finance Association, vol. 60(5), pages 2283-2331, October.
    9. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    10. Luiz Eduardo T. Brandão & Gilberto Master Penedo & Carlos Bastian-Pinto, 2013. "The value of switching inputs in a biodiesel production plant," The European Journal of Finance, Taylor & Francis Journals, vol. 19(7-8), pages 674-688, September.
    11. Eduardo S. Schwartz, 1998. "Valuing Long-Term Commodity Assets," Financial Management, Financial Management Association, vol. 27(1), Spring.
    12. Kelsey Barton & Yuri Lawryshyn, 2011. "Integrating Real Options with Managerial Cash Flow Estimates," The Engineering Economist, Taylor & Francis Journals, vol. 56(3), pages 254-273.
    13. Alexandra M. Newman & Enrique Rubio & Rodrigo Caro & Andrés Weintraub & Kelly Eurek, 2010. "A Review of Operations Research in Mine Planning," Interfaces, INFORMS, vol. 40(3), pages 222-245, June.
    14. Cortazar, Gonzalo & Casassus, Jaime, 1998. "Optimal Timing of a Mine Expansion: Implementing a Real Options Model," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(3, Part 2), pages 755-769.
    15. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    16. Scott Mathews & Vinay Datar & Blake Johnson, 2007. "A Practical Method for Valuing Real Options: The Boeing Approach," Journal of Applied Corporate Finance, Morgan Stanley, vol. 19(2), pages 95-104, March.
    17. Slade, Margaret E., 2001. "Valuing Managerial Flexibility: An Application of Real-Option Theory to Mining Investments," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 193-233, March.
    18. McClain, Katherine T. & Humphreys, H. Brett & Boscan, Atahualpa, 1996. "Measuring risk in the mining sector with ARCH models with important observations on sample size," Journal of Empirical Finance, Elsevier, vol. 3(4), pages 369-391, December.
    19. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    20. Schwartz, Eduardo, 1998. "Valuing long-term commodity assets," Journal of Energy Finance & Development, Elsevier, vol. 3(2), pages 85-99.
    21. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    22. James E. Smith & Kevin F. McCardle, 1999. "Options in the Real World: Lessons Learned in Evaluating Oil and Gas Investments," Operations Research, INFORMS, vol. 47(1), pages 1-15, February.
    23. Helyette Geman, 2005. "Commodities and Commodity Derivatives. Modeling and Pricing for Agriculturals, Metals and Energy," Post-Print halshs-00144182, HAL.
    24. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    25. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    26. McDonald, Robert L & Siegel, Daniel R, 1985. "Investment and the Valuation of Firms When There Is an Option to Shut Down," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(2), pages 331-349, June.
    27. repec:dau:papers:123456789/607 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Achille N. Njike & Mustafa Kumral, 2019. "Mining corporate portfolio optimization model with company’s operational performance level and international risk," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(3), pages 307-315, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    2. Secomandi, Nicola & Seppi, Duane J., 2014. "Real Options and Merchant Operations of Energy and Other Commodities," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 6(3-4), pages 161-331, July.
    3. Insley, M.C. & Wirjanto, T.S., 2010. "Contrasting two approaches in real options valuation: Contingent claims versus dynamic programming," Journal of Forest Economics, Elsevier, vol. 16(2), pages 157-176, April.
    4. Vasyl Golosnoy & Anja Rossen, 2018. "Modeling dynamics of metal price series via state space approach with two common factors," Empirical Economics, Springer, vol. 54(4), pages 1477-1501, June.
    5. Kuangyuan Zhang & Richard Olawoyin & Antonio Nieto & Andrew N. Kleit, 2018. "Risk of commodity price, production cost and time to build in resource economics," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(6), pages 2521-2544, December.
    6. Hahn, Warren J. & Dyer, James S., 2008. "Discrete time modeling of mean-reverting stochastic processes for real option valuation," European Journal of Operational Research, Elsevier, vol. 184(2), pages 534-548, January.
    7. David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014. "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 13-21, November.
    8. Jyrki Savolainen & Ramin Rakhsha & Richard Durham, 2022. "Simulation-based decision-making system for optimal mine production plan selection," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(2), pages 267-281, June.
    9. Juri Hinz & Tanya Tarnopolskaya & Jeremy Yee, 2020. "Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations," Annals of Operations Research, Springer, vol. 286(1), pages 583-615, March.
    10. Omura, Akihiro & Todorova, Neda & Li, Bin & Chung, Richard, 2015. "Convenience yield and inventory accessibility: Impact of regional market conditions," Resources Policy, Elsevier, vol. 44(C), pages 1-11.
    11. Slade, Margaret E., 2001. "Valuing Managerial Flexibility: An Application of Real-Option Theory to Mining Investments," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 193-233, March.
    12. Guedes, José & Santos, Pedro, 2016. "Valuing an offshore oil exploration and production project through real options analysis," Energy Economics, Elsevier, vol. 60(C), pages 377-386.
    13. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    14. Ke Du, 2013. "Commodity Derivative Pricing Under the Benchmark Approach," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2013.
    15. Takashi Kato & Jun Sekine & Hiromitsu Yamamoto, 2014. "A One-Factor Conditionally Linear Commodity Pricing Model under Partial Information," Papers 1406.4275, arXiv.org.
    16. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    17. Antonakakis, Nikolaos & Kizys, Renatas, 2015. "Dynamic spillovers between commodity and currency markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 303-319.
    18. Miranda, Oscar & Brandão, Luiz E. & Lazo Lazo, Juan, 2017. "A dynamic model for valuing flexible mining exploration projects under uncertainty," Resources Policy, Elsevier, vol. 52(C), pages 393-404.
    19. Takashi Kato & Jun Sekine & Hiromitsu Yamamoto, 2014. "A One-Factor Conditionally Linear Commodity Pricing Model under Partial Information," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 21(2), pages 151-174, May.
    20. Simone Kelly, 2017. "The market premium for the option to close: evidence from Australian gold mining firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(2), pages 511-531, June.

    More about this item

    Keywords

    Metal mining; Price process choice; gBm; Mean-reverting process; Simulation;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:minecn:v:30:y:2017:i:2:d:10.1007_s13563-017-0102-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.