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Valuing Risky Projects: Option Pricing Theory and Decision Analysis


  • James E. Smith

    (Fuqua School of Business, Duke University, Box 90120 Durham, North Carolina 27708)

  • Robert F. Nau

    (Fuqua School of Business, Duke University, Box 90120 Durham, North Carolina 27708)


In the academic literature and professional practice, there are a number of alternative and apparently competing methods for valuing risky projects. In this paper, we compare and contrast three different approaches: risk-adjusted discount-rate analysis, option pricing analysis, and decision analysis, focusing on the last two. We show that, in contrast to some of the claims made in the "real options" literature, when both option pricing and decision analysis methods are correctly applied, they must give consistent results. We also explore ways in which option pricing and decision analysis methods can be profitably integrated. In particular, we show how option pricing techniques can be used to simplify decision analysis when some risks can be hedged by trading and, conversely, how decision analysis techniques can be used to extend option pricing techniques to problems with incomplete securities markets.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:41:y:1995:i:5:p:795-816

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    References listed on IDEAS

    1. JS Armstrong & Fred Collopy, 2004. "Causal Forces: Structuring Knowledge for Time-series Extrapolation," General Economics and Teaching 0412003, EconWPA.
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    4. Robert Carbone & JS Armstrong, 2004. "Evaluation of Extrapolative Forecasting Methods: Results of a Survey of Academicians and Practitioners," General Economics and Teaching 0412008, EconWPA.
    5. Robert Carbone & Spyros Makridakis, 1986. "Forecasting When Pattern Changes Occur Beyond the Historical Data," Management Science, INFORMS, vol. 32(3), pages 257-271, March.
    6. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
    7. Sanders, NR & Ritzman, LP, 1990. "Improving short-term forecasts," Omega, Elsevier, vol. 18(4), pages 365-373.
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