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Project Valuation: Price Forecasts Bound to Discount Rates

Author

Listed:
  • Babak Jafarizadeh

    (Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom)

  • Reidar B. Bratvold

    (University of Stavanger, Stavanger 4036, Norway)

Abstract

For their appraisals, most companies use discount rates that account for timing and riskiness of projects. Yet, especially for commodity projects, discounting future cash flows is generally at odds with the assumptions in a company’s hurdle rate. With a multitude of technical and market uncertainties, inconsistent assessments lead to biased valuations and poor investment decisions. In this paper, we consider price forecasts and discount rates in an integrated framework. We calibrate the risk premiums in a two-factor stochastic price process with a capital asset pricing model-based discount rate. Together with the analysts’ long-term prices forecasts, the suggested method improves consistency in valuation and decision making.

Suggested Citation

  • Babak Jafarizadeh & Reidar B. Bratvold, 2021. "Project Valuation: Price Forecasts Bound to Discount Rates," Decision Analysis, INFORMS, vol. 18(2), pages 139-152, June.
  • Handle: RePEc:inm:ordeca:v:18:y:2021:i:2:p:139-152
    DOI: 10.1287/deca.2021.0428
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    References listed on IDEAS

    as
    1. Smith, Clifford Jr. & Watts, Ross L., 1992. "The investment opportunity set and corporate financing, dividend, and compensation policies," Journal of Financial Economics, Elsevier, vol. 32(3), pages 263-292, December.
    2. Myers, Stewart C & Turnbull, Stuart M, 1977. "Capital Budgeting and the Capital Asset Pricing Model: Good News and Bad News," Journal of Finance, American Finance Association, vol. 32(2), pages 321-333, May.
    3. Babak Jafarizadeh & Reidar B. Bratvold, 2019. "Exploration economics: taking opportunities and the risk of double-counting risk," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(3), pages 323-335, November.
    4. Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
    5. Bessembinder, Hendrik, et al, 1995. "Mean Reversion in Equilibrium Asset Prices: Evidence from the Futures Term Structure," Journal of Finance, American Finance Association, vol. 50(1), pages 361-375, March.
    6. James E. Smith & Robert F. Nau, 1995. "Valuing Risky Projects: Option Pricing Theory and Decision Analysis," Management Science, INFORMS, vol. 41(5), pages 795-816, May.
    7. Jonathan B. Berk & Richard C. Green & Vasant Naik, 1999. "Optimal Investment, Growth Options, and Security Returns," Journal of Finance, American Finance Association, vol. 54(5), pages 1553-1607, October.
    8. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    9. Hamilton, James D. & Wu, Jing Cynthia, 2014. "Risk premia in crude oil futures prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 9-37.
    10. 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.
    11. Gonzalo Cortazar & Cristobal Millard & Hector Ortega & Eduardo S. Schwartz, 2019. "Commodity Price Forecasts, Futures Prices, and Pricing Models," Management Science, INFORMS, vol. 65(9), pages 4141-4155, September.
    12. repec:dau:papers:123456789/607 is not listed on IDEAS
    13. Murray Carlson & Zeigham Khokher & Sheridan Titman, 2007. "Equilibrium Exhaustible Resource Price Dynamics," Journal of Finance, American Finance Association, vol. 62(4), pages 1663-1703, August.
    14. Brennan, Michael J & Schwartz, Eduardo S, 1985. "Evaluating Natural Resource Investments," The Journal of Business, University of Chicago Press, vol. 58(2), pages 135-157, April.
    15. Cortazar, Gonzalo & Kovacevic, Ivo & Schwartz, Eduardo S., 2015. "Expected commodity returns and pricing models," Energy Economics, Elsevier, vol. 49(C), pages 60-71.
    16. Robert S. Pindyck, 1999. "The Long-Run Evolutions of Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
    17. Hahn, Warren J. & DiLellio, James A. & Dyer, James S., 2018. "Risk premia in commodity price forecasts and their impact on valuation," Energy Economics, Elsevier, vol. 72(C), pages 393-403.
    18. Da, Zhi & Guo, Re-Jin & Jagannathan, Ravi, 2012. "CAPM for estimating the cost of equity capital: Interpreting the empirical evidence," Journal of Financial Economics, Elsevier, vol. 103(1), pages 204-220.
    19. Helyette Geman, 2005. "Commodities and Commodity Derivatives. Modeling and Pricing for Agriculturals, Metals and Energy," Post-Print halshs-00144182, HAL.
    20. Malcolm P. Baker & E. Scott Mayfield & John E. Parsons, 1998. "Alternative Models of Uncertain Commodity Prices for Use with Modern Asset Pricing Methods," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 115-148.
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    Cited by:

    1. Tatiana Ponomarenko & Eugene Marin & Sergey Galevskiy, 2022. "Economic Evaluation of Oil and Gas Projects: Justification of Engineering Solutions in the Implementation of Field Development Projects," Energies, MDPI, vol. 15(9), pages 1-22, April.
    2. Babak Jafarizadeh, 2022. "Forecasts of Prices and Informed Sensitivity Analysis: Applications in Project Valuations," Decision Analysis, INFORMS, vol. 19(3), pages 205-219, September.
    3. Yeu-Shiang Huang & Min-Sheng Yang & Jyh-Wen Ho, 2022. "Bundling Decisions for Selling Multiple Items in Online Auctions," Decision Analysis, INFORMS, vol. 19(1), pages 44-62, March.

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